• Lead and develop a team of Decision Intelligence Analysts working across multiple client engagements and industries
• Own the end-to-end integration lifecycle for strategic client accounts — from requirements definition to model deployment and performance validation
• Establish standardized methodologies for defining data requirements, adapting models to client contexts, and ensuring consistent delivery quality
• Oversee strategic data model architecture decisions, ensuring scalability, flexibility, and alignment with client business objectives
• Guide Decision Intelligence Analysts in running, fine-tuning, and optimizing AI models to achieve the best possible decision outcomes
• Implement rigorous validation frameworks that ensure all model outputs deliver measurable, demonstrable business value
• Serve as the senior technical relationship owner for key clients, managing expectations and ensuring alignment between platform capabilities and client goals
• Collaborate closely with Product, Engineering, and Client Success teams to surface client insights that enhance our platform roadmap
• Ensure your team develops deep expertise in client business processes and user needs, creating solutions that drive adoption and lasting impact

• Experience: 7+ years in AI, data science, or analytics roles, including at least 2 years in a team leadership position
• Team leadership: Proven track record of building, managing, and growing technical teams in fast-paced environments
• Technical depth: Strong understanding of AI architectures, data modeling principles, and model fine-tuning methodologies
• End-to-end ownership: Experience leading complex technical integrations from scoping through delivery and ongoing optimization
• Industry versatility: Demonstrated ability to apply AI solutions across multiple industries and business functions with measurable results
• Client management: Comfortable owning senior-level client relationships on the technical side — setting expectations, navigating complexity, and building trust
• Process excellence: Track record of implementing scalable methodologies that improve delivery quality and team efficiency
• Business acumen: Clear understanding of how AI creates business value and the ability to connect technical decisions to strategic outcomes
• Strategic thinking: Ability to anticipate trends in AI decision systems and position your team for continued innovation
• User advocacy: Experience championing end-user needs within technical implementation decisions

• Hands-on experience with agentic AI systems or decision optimization platforms
• Background in technical pre-sales or solution architecture
• Experience working in or closely with enterprise SaaS companies

• Lead and develop a team of Decision Intelligence Analysts working across multiple client engagements and industries
• Own the end-to-end integration lifecycle for strategic client accounts — from requirements definition to model deployment and performance validation
• Establish standardized methodologies for defining data requirements, adapting models to client contexts, and ensuring consistent delivery quality
• Oversee strategic data model architecture decisions, ensuring scalability, flexibility, and alignment with client business objectives
• Guide Decision Intelligence Analysts in running, fine-tuning, and optimizing AI models to achieve the best possible decision outcomes
• Implement rigorous validation frameworks that ensure all model outputs deliver measurable, demonstrable business value
• Serve as the senior technical relationship owner for key clients, managing expectations and ensuring alignment between platform capabilities and client goals
• Collaborate closely with Product, Engineering, and Client Success teams to surface client insights that enhance our platform roadmap
• Ensure your team develops deep expertise in client business processes and user needs, creating solutions that drive adoption and lasting impact

• Experience: 7+ years in AI, data science, or analytics roles, including at least 2 years in a team leadership position
• Team leadership: Proven track record of building, managing, and growing technical teams in fast-paced environments
• Technical depth: Strong understanding of AI architectures, data modeling principles, and model fine-tuning methodologies
• End-to-end ownership: Experience leading complex technical integrations from scoping through delivery and ongoing optimization
• Industry versatility: Demonstrated ability to apply AI solutions across multiple industries and business functions with measurable results
• Client management: Comfortable owning senior-level client relationships on the technical side — setting expectations, navigating complexity, and building trust
• Process excellence: Track record of implementing scalable methodologies that improve delivery quality and team efficiency
• Business acumen: Clear understanding of how AI creates business value and the ability to connect technical decisions to strategic outcomes
• Strategic thinking: Ability to anticipate trends in AI decision systems and position your team for continued innovation
• User advocacy: Experience championing end-user needs within technical implementation decisions

• Hands-on experience with agentic AI systems or decision optimization platforms
• Background in technical pre-sales or solution architecture
• Experience working in or closely with enterprise SaaS companies

• Month 1: Get up to speed with 1–2 business units. Understand their data, workflows, and business context. Pick up the first strategic brief from the AI Strategist Principal, and deliver a working AI prototype that solves a real daily pain point.
• Month 3: Have at least one solution running in production. Incorporate feedback from real users, stabilise monitoring, and document the solution. Begin a second chapter engagement and broaden the range of AI techniques you apply.
• Month 6: Become a trusted enabler within the company and the Strategy team. Your solutions are running reliably and reusable components are being picked up by other teams.

• AI & technical foundation: Strong Python skills and practical experience across the AI/ML spectrum: forecasting, classification, regression, LLMs, and agentic frameworks (LangChain, LlamaIndex, CrewAI, or equivalent). Comfortable owning solutions in production. Familiarity with Docker/K8s or MLOps tooling.
• Engineering fundamentals: Working knowledge of cloud platforms (AWS, GCP, or Azure), REST APIs (FastAPI or similar), and SQL for data access and integration.
• Business & requirements acumen: Able to sit with a non-technical team, ask the right questions, identify what actually matters, and translate messy real-world context into a clear implementation plan.
• Communication & collaboration: Clear and confident communicator with both technical and non-technical audiences. You can explain what a model does, and what it can't do, to someone with no AI background.
• Startup mindset & ownership: Comfortable with ambiguity, proactive, and accountable. You have the ability to take a vision and bring it to life.

• Prepare, structure, and upload client data into Aily's proprietary data models, ensuring accuracy, quality, and completeness
• Adapt and configure data models to fit specific client contexts, business processes, and decision workflows
• Run and operate AI models end-to-end, taking ownership of model performance and output quality across client tenants
• Execute model fine-tuning and optimization cycles to continuously improve decision outcomes and business relevance
• Monitor and validate AI outputs on an ongoing basis, identifying inconsistencies and proactively resolving quality issues
• Develop a deep understanding of each client's business routines, user workflows, and decision-making processes to ensure AI solutions are practical, relevant, and adopted
• Track and report on tenant health metrics, surfacing insights and recommendations to maximize client impact
• Collaborate with the AI Delivery Lead, Product, and Engineering teams to flag issues, share learnings, and contribute to platform improvements

• Educational background: Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or a related field
• Technical foundation: Proficiency in Python and SQL; solid understanding of data structures and modeling concepts
• Execution mindset: Strong attention to detail, a structured approach to problem-solving, and a drive to get things done with high quality
• Operational ownership: Comfortable taking responsibility for the quality and performance of the solutions you manage
• Learning agility: Eager to deepen expertise in AI decision systems, model fine-tuning, and agentic AI architectures
• Collaboration: Clear communicator who works effectively across technical and non-technical stakeholders
• Adaptability: Able to context-switch across different industries, business functions, and client environments
• User empathy: Genuine interest in understanding how end users interact with AI in their daily work, and what makes solutions truly useful

• Familiarity with ML frameworks such as scikit-learn, PyTorch, or similar
• Experience with cloud platforms (AWS, GCP, or Azure)
• Previous internship or work experience in a data, analytics, or AI-related role
• Exposure to enterprise software implementations or client-facing technical roles

• Prepare, structure, and upload client data into Aily's proprietary data models, ensuring accuracy, quality, and completeness
• Adapt and configure data models to fit specific client contexts, business processes, and decision workflows
• Run and operate AI models end-to-end, taking ownership of model performance and output quality across client tenants
• Execute model fine-tuning and optimization cycles to continuously improve decision outcomes and business relevance
• Monitor and validate AI outputs on an ongoing basis, identifying inconsistencies and proactively resolving quality issues
• Develop a deep understanding of each client's business routines, user workflows, and decision-making processes to ensure AI solutions are practical, relevant, and adopted
• Track and report on tenant health metrics, surfacing insights and recommendations to maximize client impact
• Collaborate with the AI Delivery Lead, Product, and Engineering teams to flag issues, share learnings, and contribute to platform improvements

• Educational background: Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or a related field
• Technical foundation: Proficiency in Python and SQL; solid understanding of data structures and modeling concepts
• Execution mindset: Strong attention to detail, a structured approach to problem-solving, and a drive to get things done with high quality
• Operational ownership: Comfortable taking responsibility for the quality and performance of the solutions you manage
• Learning agility: Eager to deepen expertise in AI decision systems, model fine-tuning, and agentic AI architectures
• Collaboration: Clear communicator who works effectively across technical and non-technical stakeholders
• Adaptability: Able to context-switch across different industries, business functions, and client environments
• User empathy: Genuine interest in understanding how end users interact with AI in their daily work, and what makes solutions truly useful

• Familiarity with ML frameworks such as scikit-learn, PyTorch, or similar
• Experience with cloud platforms (AWS, GCP, or Azure)
• Previous internship or work experience in a data, analytics, or AI-related role
• Exposure to enterprise software implementations or client-facing technical roles

• Event Strategy & Planning
  • Develop and implement a strategic events calendar aligned with enterprise sales and marketing goals.
  • Create detailed project plans for each event, including timelines, budgets, and risk management.
  • Plan and produce high-end client events including executive dinners, private forums, curated networking experiences, and industry conferences.
• Client & Executive Engagement
  • Partner with sales leadership to design events that support relationship-building with key enterprise accounts.
  • Coordinate executive-level programming including speaker sessions, panel discussions, and thought leadership experiences.
  • Foster relationships with industry leaders and influencers to promote our event offerings.
• Event Execution
  • Lead the planning and execution of events such as hackathons, summits, executive roundtables, and VIP dinners.
  • Manage end-to-end event logistics including venue selection, vendors, production, and guest experience.
  • Ensure events deliver a premium experience consistent with our enterprise brand.
• Marketing Integration
  • Collaborate with demand generation and content teams to align event messaging and promotion.
  • Design and execute marketing campaigns utilizing digital platforms, social media, and email outreach.
  • Track and report on event performance, pipeline impact, and ROI.
• Vendor & Budget Management
  • Manage event budgets, negotiate vendor contracts, and ensure cost efficiency.
  • Build relationships with high-end venues, agencies, and production partners.
  • Oversee timelines and deliverables across multiple events simultaneously.
• Post-Event Analysis
  • Gather feedback from participants and stakeholders to assess event success.
  • Analyze performance metrics and prepare detailed reports to inform future strategies.

• Bachelor's degree in Marketing, Communications, or related field.
• 1-4 years of experience in B2B event marketing/field marketing, preferably in AI technology, SaaS, or enterprise software.
• Experience planning executive-level or high-touch client events.
• Experience managing events targeted at Fortune 500 or global enterprise audiences.
• Strong project management and organizational skills with the ability to multitask and prioritize effectively.
• Proven ability to collaborate with sales teams and senior executives.
• Exceptional attention to detail and ability to deliver premium experiences.
• Strong communication and interpersonal skills, comfortable working with senior executives and industry leaders.

• Experience in AI, data, analytics, or enterprise SaaS.
• Background in account-based marketing (ABM) events.

• Hybrid role based in New York City, requiring 2–3 days per week in-office.
• Occasional travel for conferences and client events.

• A flexible working culture: Work from home or vibrant hubs in New York or Barcelona.
• Cutting-edge tools: A MacBook Pro (M2, 16GB) to maximize your productivity.
• Collaborative team: Join an internationally diverse group that thrives on creativity and support.
• Growth opportunities: Participate in bootcamps, knowledge-sharing events, and training tailored to your aspirations.

• Event Strategy & Planning
  • Develop and implement a strategic events calendar aligned with enterprise sales and marketing goals.
  • Create detailed project plans for each event, including timelines, budgets, and risk management.
  • Plan and produce high-end client events including executive dinners, private forums, curated networking experiences, and industry conferences.
• Client & Executive Engagement
  • Partner with sales leadership to design events that support relationship-building with key enterprise accounts.
  • Coordinate executive-level programming including speaker sessions, panel discussions, and thought leadership experiences.
  • Foster relationships with industry leaders and influencers to promote our event offerings.
• Event Execution
  • Lead the planning and execution of events such as hackathons, summits, executive roundtables, and VIP dinners.
  • Manage end-to-end event logistics including venue selection, vendors, production, and guest experience.
  • Ensure events deliver a premium experience consistent with our enterprise brand.
• Marketing Integration
  • Collaborate with demand generation and content teams to align event messaging and promotion.
  • Design and execute marketing campaigns utilizing digital platforms, social media, and email outreach.
  • Track and report on event performance, pipeline impact, and ROI.
• Vendor & Budget Management
  • Manage event budgets, negotiate vendor contracts, and ensure cost efficiency.
  • Build relationships with high-end venues, agencies, and production partners.
  • Oversee timelines and deliverables across multiple events simultaneously.
• Post-Event Analysis
  • Gather feedback from participants and stakeholders to assess event success.
  • Analyze performance metrics and prepare detailed reports to inform future strategies.

• Bachelor's degree in Marketing, Communications, or related field.
• 5+ years of experience in B2B event marketing/field marketing, preferably in AI technology, SaaS, or enterprise software.
• Experience planning executive-level or high-touch client events.
• Experience managing events targeted at Fortune 500 or global enterprise audiences.
• Strong project management and organizational skills with the ability to multitask and prioritize effectively.
• Proven ability to collaborate with sales teams and senior executives.
• Exceptional attention to detail and ability to deliver premium experiences.
• Strong communication and interpersonal skills, comfortable working with senior executives and industry leaders.

• Experience in AI, data, analytics, or enterprise SaaS.
• Background in account-based marketing (ABM) events.

• Hybrid role based in New York City, requiring 2–3 days per week in-office.
• Occasional travel for conferences and client events.

• A flexible working culture: Work from home or vibrant hubs in New York or Barcelona.
• Cutting-edge tools: A MacBook Pro (M2, 16GB) to maximize your productivity.
• Collaborative team: Join an internationally diverse group that thrives on creativity and support.
• Growth opportunities: Participate in bootcamps, knowledge-sharing events, and training tailored to your aspirations.

• This is where finance mastery meets AI innovation. This is where your career accelerates.

• Map all finance processes for AI optimization
• Design and deploy AI agents for repetitive tasks
• Measure ROI and efficiency gains

• Manage customer invoicing including contract analysis
• Maintain a transparent customer relationship database
• Calculate and analyze critical SaaS KPIs (ARR, MRR, churn, CAC, LTV) 

• Lead monthly and annual close processes 
• Prepare executive and board presentations as well as investor reporting
• Own and optimize finance topics such as COGS calculation, automated cost allocation logic, and capitalized development cost maximization

• Oversee vendor invoice processing with financial analysis and approval authority
• Develop vendor controlling and management systems
• Serve as finance counterpart for procurement processes

• Coordinate payment runs and liquidity planning
• Maintain cash flow forecasting
• Ensure efficient cash management
• Analyze and invoice intercompany relationships between all Aily entities

• 2-4 years in finance advisory, controlling, or business finance (Big 4, consulting, scale-ups, or tech companies preferred)
• Outstanding Excel and PowerPoint skills with experience in building financial models, and creating executive presentations
• AI enthusiasm with hands-on experience using AI tools and genuine interest in automation and process optimization
• Technical proficiency with modern finance tools, quick learner with new software, comfortable with integrations and data management
• Executive communication skills with experience preparing board presentations 
• Stakeholder management experience working with external partners (accountants, auditors) and cross-functional teams

• Own assigned compliance frameworks (e.g., SOC 2, ISO 27001, GDPR, AI regulations) endto-end—from interpreting requirements and designing control mappings to ensuring audit readiness
• Act as the single point of accountability for your frameworks: auditors, control owners, and leadership come to you for answers
• Coordinate cross-functional stakeholders (Engineering, Product, Legal, People) to ensure controls are embedded in their workflows—not bolted on as afterthoughts
• Manage external auditor relationships, including scoping discussions, audit planning, finding resolution, and certification delivery
• Anticipate how regulatory changes affect your frameworks and proactively adapt the control environment
• Own the program structure of Security Operations—defining how detection and incident response processes are organized, governed, and reported on

• Design how abstract regulatory requirements translate into concrete, testable controls for our specific technology stack and business model
• Make judgment calls on control applicability, risk acceptance recommendations, and framework interpretation where guidance is ambiguous
• Define the conceptual structure of vendor assessments for your domain—what matters, what doesn’t, and where to draw the line
• Design and maintain the organizational framework for security operations—playbook governance, escalation structures, SLA definitions, and operational metrics
• Author and maintain policies that are enforceable and aligned to how the business actually operates—not compliance theater

• Enable control owners to be self-sufficient: design clear expectations, provide context on why controls exist, and remove friction from their compliance responsibilities
• Coordinate remediation across teams when gaps are identified—driving accountability without micromanaging execution
• Communicate compliance posture and framework status to leadership in business terms
• Resolve ambiguity and competing priorities between business velocity and compliance obligations—finding paths that serve both

• Design and maintain automated evidence collection, monitoring, and reporting workflow so routine compliance work runs without manual intervention
• Continuously identify where human effort in your programs can be replaced by automation, AI-assisted review, or platform configuration
• Use AI tools as a force multiplier for research, gap analysis, policy drafting, and audit preparation—the expectation is that you operate at a level only possible with these tools

• Deep knowledge of governance frameworks (ISO 27001, SOC 2) and data privacy regulations (GDPR, CCPA), with the ability to interpret requirements and design practical control implementations
• Experience managing external auditor relationships and driving audits to completion independently
• Strong stakeholder management skills—you can coordinate across technical and non-technical teams, hold people accountable, and resolve conflicts without escalation
• Ability to design control mappings and assessment methodologies, not just execute predefined checklists
• Experience configuring GRC platforms and designing automated compliance workflows— you think in systems, not spreadsheets
• Comfort with ambiguity: you can make sound judgment calls when regulatory guidance is unclear or when business context requires interpretation
• Experience in cloud-native environments (AWS preferred) with an understanding of how infrastructure choices affect compliance scope
• Strong written communication—you can author policies and reports that are clear, concise, and actionable for their intended audience
• AI-First Mindset: You leverage AI tools daily as a core part of how you work. You don’t wait to be told where to automate—you actively seek to eliminate routine work from your programs so you can focus on the hard problems that require human judgment.

• Certifications such as CISA, CRISC, CIPP/E, or ISO 27001 Lead Auditor/Implementer
• Experience with emerging AI regulations (EU AI Act, ISO 42001) and building governance approaches for AI/ML systems
• Background in high-growth SaaS or platform companies where compliance programs had to scale quickly
• Experience building or significantly maturing a GRC program—not just inheriting a fully built one
• Experience with security operations frameworks—incident response lifecycle, detection engineering governance, or SOC program management
• Familiarity with security engineering practices and how compliance automation integrates with CI/CD and infrastructure-as-code

About the Role – Data Practitioner Intern

We are looking for students or recent graduates who want to gain hands-on experience as a Data Practitioner within a fast-growing AI company. As a Data Practitioner Intern, you will support the team in building and maintaining the data infrastructure that powers Aily’s AI platform.

This internship is designed for individuals who are passionate about data, enjoy solving technical problems, and want to learn how scalable data systems are built in real production environments.

Key Responsibilities

• Support the development and maintenance of data pipelines and ETL processes.

• Assist in implementing data transformations and quality checks.

• Work with Python to process, validate, and manipulate datasets.

• Collaborate with Data Engineers, Data Scientists, and ML Engineers to ensure data availability and reliability.

• Contribute to monitoring and improving data workflows under the guidance of senior team members.

• Learn and work with modern data stack tools (data warehouse, orchestration, streaming, etc.).

Internship Details

• Minimum duration: 3 months, with the possibility to extend up to 6 months.

• Start date: flexible – you can join at any time.

• Working hours: part-time or full-time.

• Location: Barcelona or Madrid.

• Work model: Hybrid (2 days per week in the office).

• Applicants must have the legal right to work in Spain.

Who We’re Looking For

Curious and motivated students who want real-world experience building scalable data systems that power AI at enterprise scale. If you are excited about learning, contributing, and growing within a high-impact AI environment, we would love to hear from you.

Instead of traditional dashboards and reports, Aily delivers simple, personalized recommendations that help teams decide and act faster across finance, supply chain, R&D, commercial, and more. The app is designed to be intuitive for end users and easy to integrate for IT, so companies can move from analysis and indecision to confident, data-driven decisions every day.

Founded in 2020 in Munich, Aily Labs has grown into a global team of 300+ people across Munich, Barcelona, Madrid, Cluj, and New York. Our mission is to democratize AI in business and enable leaders to Lead Boldly, turning complex data into decisions that drive real, measurable impact.

• Translate business needs into technical requirements

• Design, develop, and implement statistically grounded methodologies to address business needs

• Debug and problem-solve issues to ensure the delivery of accurate metrics

• Create and document reusable packages and libraries

• Dive into technical problems and figure out solutions that make our product meaningful

Internship Details

• Minimum duration: 3 months, with the possibility to extend up to 6 months

• Start date: flexible – you can join at any time

• Working hours: part-time or full-time

• Location: Barcelona or Madrid

• Work model: Hybrid, coming to the office 2–3 times per week. depending on the team

• Advanced level of English

Instead of traditional dashboards and reports, Aily delivers simple, personalized recommendations that help teams decide and act faster across finance, supply chain, R&D, commercial, and more. The app is designed to be intuitive for end users and easy to integrate for IT, so companies can move from analysis and indecision to confident, data-driven decisions every day.

Founded in 2020 in Munich, Aily Labs has grown into a global team of 300+ people across Munich, Barcelona, Madrid, Cluj, and New York. Our mission is to democratize AI in business and enable leaders to Lead Boldly, turning complex data into decisions that drive real, measurable impact.

About Us

Aily Labs is a B2B SaaS company building an AI-powered decision intelligence app for enterprises. Our mobile-first platform combines company data with advanced machine learning, large language models, and agentic AI to give business leaders clear, actionable insights in real time.

Instead of traditional dashboards and reports, Aily delivers simple, personalized recommendations that help teams decide and act faster across finance, supply chain, R&D, commercial, and more. The app is designed to be intuitive for end users and easy to integrate for IT, so companies can move from analysis and indecision to confident, data-driven decisions every day.

Founded in 2020 in Munich, Aily Labs has grown into a global team of 300+ people across Munich, Barcelona, Madrid, Cluj, and New York. Our mission is to democratize AI in business and enable leaders to Lead Boldly, turning complex data into decisions that drive real, measurable impact.

• Contribute to the development of backend services using .NET under guidance from senior engineers
• Write clean, maintainable, and testable code following team standards
• Support improvements in existing systems (bug fixing, small enhancements, refactoring tasks)
• Assist in implementing development platform initiatives (tooling, automation, internal improvements)
• Participate in code reviews and actively learn from feedback
• Help monitor and troubleshoot issues in lower environments (with support)
• Collaborate with team members to deliver features and improvements
• Continuously learn new technologies, tools, and engineering practices

• 1 or 2 years of experience in software development (or strong academic/project background)
• Basic knowledge of C# and .NET
• Understanding of fundamental programming concepts (OOP, clean code basics)
• Familiarity with REST APIs and basic database concepts (SQL)
• Exposure to Git and collaborative development workflows
• Interest in cloud technologies (AWS or similar) is a plus
• Strong willingness to learn and grow
• Good communication and teamwork skills

• Backend Engineers who excel at building reliable, scalable systems that power high-performance applications at enterprise scale.
  • Hands-on builders who enjoy developing robust backend services, designing clean architectures, and optimizing systems for performance, scalability, and maintainability.
  • Strong collaborators who work closely with Frontend Engineers, Product teams, Data teams, and business stakeholders to deliver seamless and impactful user experiences.
  • Startup mindset: thrives in ambiguity, proactively solves complex technical challenges, and improves systems and processes beyond their immediate scope.
  • Ready to Lead Boldly – building the backend foundation that enables Aily's platform to deliver millions of real-time interactions daily.
  • Applicants must already have the legal right to work in Spain.

• Locations: Madrid (MAD), Barcelona (BCN).

• Contract type: Permanent.

• Work policy: hybrid (2 days per week in the office)

• Founded in 2020, we've grown to 350 people, backed by strong organic growth and a recent €80M Series B
• We are an internationally diverse team with more than 30 nationalities working from our offices in Barcelona, Madrid, Munich, New York, and Cluj
• We offer a hybrid work mode, with 2+ days onsite each week. This role is based in either Barcelona, Madrid, or Munich
• We're curious about new technologies and encourage experimentation
• We do cool and fun offsites (e.g. Ibiza,Kitzbühel) and regular casual get-togethers

Instead of traditional dashboards and reports, Aily delivers simple, personalized recommendations that help teams decide and act faster across finance, supply chain, R&D, commercial, and more. The app is designed to be intuitive for end users and easy to integrate for IT, so companies can move from analysis and indecision to confident, data-driven decisions every day.

Founded in 2020 in Munich, Aily Labs has grown into a global team of 300+ people across Munich, Barcelona, Madrid, Cluj, New York, and soon Mexico City. Our mission is to democratize AI in business and enable leaders to Lead Boldly, turning complex data into decisions that drive real, measurable impact.

We are looking for Data Scientists who are passionate about the power of AI and who thrive at the intersection of business, analytics, and AI: someone who not only trains models but also deeply understands the business context in which they're applied. Your job is to make sure AI is solving the right problems, using the right approaches, and driving measurable impact.

About this role – Domains Department

The Data Science Domains Department powers business-critical decision-making across four key areas of enterprise operations. We build and deploy AI-driven features that transform how business leaders understand and act on complex data challenges in their specific domains.

Each domain has distinct requirements, challenges, and opportunities—but all share the mission of delivering real-time, actionable AI insights that drive measurable business impact.

Our Four Domains:

• Finance (FIN): We enable smarter, faster financial decision-making across the enterprise by partnering with Finance teams to improve forecasting accuracy, planning agility, and financial transparency through AI-driven solutions. We tackle volatile revenue and demand signals, large-scale multi-dimensional forecasting, and resource allocation under uncertainty, while ensuring models remain explainable and actionable. Our work moves Finance beyond reactive reporting toward proactive data-driven decision-making, powered by production-grade ML systems at enterprise scale.

• Manufacturing & Supply Chain (M&S): We optimize the end-to-end manufacturing and supply chain with cutting-edge AI. Our team works closely with supply chain champions across Fortune 500 companies to drive impact: from helping pharmaceutical companies to avoid out-of-stocks to reducing machine breakdown in consumer good factories. Our solutions consist of a mix of statistical, machine learning, GenAI, Knowledge Graph, and agentic techniques to tackle challenges such as low signal demand forecasting, explainability for supply chain autonomy, and providing detailed actionable recommendations based on a mix of textual, image, and structured data.

• Research & Development (R&D): We are passionate about clinical operations and portfolio management. Our team partners closely with pharmaceutical and biotech companies to deliver innovative AI-driven solutions that optimize clinical trial recruitment and accelerate pipeline innovation. Some of the exciting use cases we’ve worked on include predicting patient enrollment, optimizing trial design, building knowledge graphs across the pharma ecosystem, and more.

• Cross-Functional (XF): this team addresses critical business areas that extend beyond the scope of our other specialized domains. We apply AI to diverse functions spanning procurement, people analytics, commercial operations, and more - developing solutions that transform these essential but often underserved areas. By focusing on these complementary business functions, we ensure our AI platform delivers comprehensive value across the entire enterprise, helping organizations unlock insights and efficiencies in every corner of their operations.

Senior/Lead Data Scientist – 4+ years

• All of the above +

• Have comprehensive MLOps expertise, advanced Python/SQL skills, and domain specialization; enforce code quality standards across the team

• Own key features and projects; design and improve models, pipelines, and experimentation frameworks

• Lead 1+ major projects as AI lead with full accountability; break down work, assign tasks, and manage multiple workstreams with stakeholder alignment

• Communicate and align with internal/external stakeholders; turn business requirements into AI solutions; make speed vs. quality trade-offs

• Provide technical mentorship; set modeling standards and drive cross-functional delivery with PMs, engineers, and customers

Principal Data Scientist – 6+ years

• All of the above +

• Have deep expertise in one technical area; lead by example on technical excellence, business acumen, and strategic vision

• Define and own AI domain roadmaps; transform ambiguous business challenges into structured action plans with clear milestones and dependencies

• Lead 5+ simultaneous projects across multiple workstreams; shape product strategy with PM/Eng; manage risks and ensure timely, high-quality releases

• Demonstrate strong business acumen: estimate AI solution impact on KPIs and business outcomes; identify domain-wide opportunities and influence strategy

• Provide leadership for the Data Science team: mentor and manage; define standards; drive impactful cross-functional delivery; empower team members

Who we’re looking for (all levels)

• Someone who thrives at the intersection of business, analytics, and AI and wants to ensure AI solves the right problems with measurable impact.

• A scientist and builder: you explore multiple approaches, analyze results, and iterate fast, balancing cutting‑edge techniques with simple, scalable solutions.

• A strong communicator who adapts the message to different audiences and enjoys working cross‑functionally with product, engineering, and business stakeholders.

• Someone with a startup mindset: comfortable with ambiguity, proactive, and hands‑on when something needs fixing or improving.

• Ready to Lead Boldly – helping business leaders make decisive decisions powered by real-time AI insights

About Us

Aily Labs is a B2B SaaS company building an AI-powered decision intelligence app for enterprises. Our mobile-first platform combines company data with advanced machine learning, large language models, and agentic AI to give business leaders clear, actionable insights in real time.

Instead of traditional dashboards and reports, Aily delivers simple, personalized recommendations that help teams decide and act faster across finance, supply chain, R&D, commercial, and more. The app is designed to be intuitive for end users and easy to integrate for IT, so companies can move from analysis and indecision to confident, data-driven decisions every day.

Founded in 2020 in Munich, Aily Labs has grown into a global team of 300+ people across Munich, Barcelona, Madrid, Cluj, NY and soon Mexico City. Our mission is to democratize AI in business and enable leaders to Lead Boldly, turning complex data into decisions that drive real, measurable impact.

We are looking for AI/ML Engineers who are passionate about the power of AI and love building robust AI/ML systems: people who turn models into reliable, scalable products, and ensure our AI solutions are production-ready, efficient and impactful. Your job is to build and scale the AI/ML infrastructure and pipelines that power Aily’s decision intelligence platform.

About this team - AI Platform

The AI Platform team is the backbone of Aily’s decision intelligence. We design, build, and operate libraries, tools, and the shared AI/ML infrastructure that enables AI & Data teams to empower business-critical decision-making for our enterprise users.

Our 3 missions are to enable innovation at scale, to minimize entropy, and to accelerate progress for Aily. 

If you enjoy working at the intersection of AI and software, closely collaborating & empowering other teams, setting technical direction, and turning complexity into leverage, this team is the right place to make your mark.

Mid AI/ML Engineer - 3+ years of experience

• Partner with Data Scientists and Engineers to bring AI solutions to production

• Design and implement end-to-end ML pipelines (data→model→deployment→monitoring) autonomously

• Contribute to APIs, tools, and libraries used by more than 100 AI team members daily (including Cloud & LLM Infrastructure and AI-driven features)

• Communicate with your team: present results and findings, identify gaps and opportunities, and learn to explain our product and software/AI behind

• Requirements: Solid AI/ML fundamentals, strong Python, APIs/K8s/Docker/Cloud experience, mentor junior team members on technical topics

Senior AI/ML Engineer - 4+ years of experience

• All of the above +

• Own complex projects, lead technical initiatives from design to implementation (refactoring, standardization)

• Ensure the quality of your own and your teams' developments

• Interact with other functions and agree on exchange protocols and architecture design (DevOps, Front End, Data Engineering, Back End, …)

• Sponsor the creation and implementation of new software and ML standards in the AI team

• Requirements: Strong software engineering practices, Deep AI/ML knowledge, outstanding problem-solving skills, ability and willingness to lead and mentor Junior team members

Principal AI/ML Engineer - 6+ years of experience

• All of the above +

• Shape AI Platform strategy across teams and be a technical reference for Aily’s AI team

• Lead cross-team design sessions, define, enforce, and maintain org-wide standards

• "Make things happen" at scale, manage leadership pressure

• Lead a team of 4+ AI/ML Engineers and own their roadmap

• Requirements: Driven by impact and value, able to lead multiple technical initiatives in parallel, mastery in the modern AI/ML stack (AWS, FastAPI, Docker, K8s, Python, CI/CD, Airflow, Agentic coding, concurrency, etc)

Who we’re looking for (all levels)

• You are impact-driven and thrive at the intersection of AI, business, ML engineering, and product. You want to build real systems that power decision-making at scale.

• A builder: you enjoy shipping reliable solutions, improving systems and tooling, and making things work in production at scale.

• A strong collaborator who enjoys working with Data Scientists, Product Managers, and Engineers, and can explain trade-offs and designs in simple terms.

• Someone with a startup mindset: comfortable with ambiguity, proactive, hands-on, and willing to improve things beyond your immediate scope.

• Ready to Lead Boldly - helping Aily and its customers scale AI systems that enable faster, smarter decisions every day.

Location & details

• Locations: Mexico City

• Contract type: Permanent

Instead of traditional dashboards and reports, Aily delivers simple, personalized recommendations that help teams decide and act faster across finance, supply chain, R&D, commercial, and more. The app is designed to be intuitive for end users and easy to integrate for IT, so companies can move from analysis and indecision to confident, data-driven decisions every day.

Founded in 2020 in Munich, Aily Labs has grown into a global team of 300+ people across Munich, Barcelona, Madrid, Cluj, New York, and soon Mexico City. Our mission is to democratize AI in business and enable leaders to Lead Boldly, turning complex data into decisions that drive real, measurable impact.

We are looking for Data Scientists who are passionate about the power of AI and who thrive at the intersection of business, analytics, and AI: someone who not only trains models but also deeply understands the business context in which they're applied. Your job is to make sure AI is solving the right problems, using the right approaches, and driving measurable impact.

About this role – Domains Department

The Data Science Domains Department powers business-critical decision-making across four key areas of enterprise operations. We build and deploy AI-driven features that transform how business leaders understand and act on complex data challenges in their specific domains.

Each domain has distinct requirements, challenges, and opportunities—but all share the mission of delivering real-time, actionable AI insights that drive measurable business impact.

Our Four Domains:

• Finance (FIN): We enable smarter, faster financial decision-making across the enterprise by partnering with Finance teams to improve forecasting accuracy, planning agility, and financial transparency through AI-driven solutions. We tackle volatile revenue and demand signals, large-scale multi-dimensional forecasting, and resource allocation under uncertainty, while ensuring models remain explainable and actionable. Our work moves Finance beyond reactive reporting toward proactive data-driven decision-making, powered by production-grade ML systems at enterprise scale.

• Manufacturing & Supply Chain (M&S): We optimize the end-to-end manufacturing and supply chain with cutting-edge AI. Our team works closely with supply chain champions across Fortune 500 companies to drive impact: from helping pharmaceutical companies to avoid out-of-stocks to reducing machine breakdown in consumer good factories. Our solutions consist of a mix of statistical, machine learning, GenAI, Knowledge Graph, and agentic techniques to tackle challenges such as low signal demand forecasting, explainability for supply chain autonomy, and providing detailed actionable recommendations based on a mix of textual, image, and structured data.

• Research & Development (R&D): We are passionate about clinical operations and portfolio management. Our team partners closely with pharmaceutical and biotech companies to deliver innovative AI-driven solutions that optimize clinical trial recruitment and accelerate pipeline innovation. Some of the exciting use cases we’ve worked on include predicting patient enrollment, optimizing trial design, building knowledge graphs across the pharma ecosystem, and more.

• Cross-Functional (XF): this team addresses critical business areas that extend beyond the scope of our other specialized domains. We apply AI to diverse functions spanning procurement, people analytics, commercial operations, and more - developing solutions that transform these essential but often underserved areas. By focusing on these complementary business functions, we ensure our AI platform delivers comprehensive value across the entire enterprise, helping organizations unlock insights and efficiencies in every corner of their operations.

Mid Data Scientist – 3+ years

• Build and maintain AI-driven features (forecasting, classification, regression, recommender systems, LLM-powered features) for business use cases
• Contribute to app features with guidance from mid/senior teammates; improve models, pipelines, and deliverables
• Present results and findings to your team; identify gaps and learn to explain the product and the AI behind it.
• Deliver assigned tasks autonomously and on time with clear ownership

• Have strong Python/SQL skills, basic MLOps knowledge (Airflow, MLflow, unit testing), and solid ML fundamentals

• Own features of the app; constantly improve models, pipelines and monitoring to ensure robust production performance

• Communicate and align with internal stakeholders; identify opportunities and explain AI behind business outcomes

• Design end-to-end ML pipelines for small projects; mentor junior team members on technical topics
  
  

Senior/Lead Data Scientist – 4+ years

• All of the above +

• Have comprehensive MLOps expertise, advanced Python/SQL skills, and domain specialization; enforce code quality standards across the team

• Own key features and projects; design and improve models, pipelines, and experimentation frameworks

• Lead 1+ major projects as AI lead with full accountability; break down work, assign tasks, and manage multiple workstreams with stakeholder alignment

• Communicate and align with internal/external stakeholders; turn business requirements into AI solutions; make speed vs. quality trade-offs

• Provide technical mentorship; set modeling standards and drive cross-functional delivery with PMs, engineers, and customers

Principal Data Scientist – 6+ years

• All of the above +

• Have deep expertise in one technical area; lead by example on technical excellence, business acumen, and strategic vision

• Define and own AI domain roadmaps; transform ambiguous business challenges into structured action plans with clear milestones and dependencies

• Lead 5+ simultaneous projects across multiple workstreams; shape product strategy with PM/Eng; manage risks and ensure timely, high-quality releases

• Demonstrate strong business acumen: estimate AI solution impact on KPIs and business outcomes; identify domain-wide opportunities and influence strategy

• Provide leadership for the Data Science team: mentor and manage; define standards; drive impactful cross-functional delivery; empower team members

Who we’re looking for (all levels)

• Someone who thrives at the intersection of business, analytics, and AI and wants to ensure AI solves the right problems with measurable impact.

• A scientist and builder: you explore multiple approaches, analyze results, and iterate fast, balancing cutting‑edge techniques with simple, scalable solutions.

• A strong communicator who adapts the message to different audiences and enjoys working cross‑functionally with product, engineering, and business stakeholders.

• Someone with a startup mindset: comfortable with ambiguity, proactive, and hands‑on when something needs fixing or improving.

• Ready to Lead Boldly – helping business leaders make decisive decisions powered by real-time AI insights

Location & details

• Locations: Mexico City

• Contract type: Permanent.

• Events that Drive Impact: Plan and execute standout virtual and in-person events, from industry conferences to client workshops, ensuring flawless execution and measurable ROI.
• Top-Tier Media Engagement: Partner with PR teams to secure media coverage that positions Aily Labs as a thought leader in the AI space.
• Customer-Centric Campaigns: Collaborate with enterprise clients to develop targeted marketing strategies that amplify adoption and deliver business impact.
• Content that Engages: Create and oversee high-value content, from executive presentations to promotional materials, that connects with decision-makers.
• Cross-Functional Collaboration: Work closely with Product, Engineering, and Business Impact teams to ensure campaigns align with Aily Labs’ mission and product strengths.
• Strategic Insights: Analyze trends, customer needs, and campaign performance to inform future strategies and demonstrate measurable success.
• Brand Building: Enhance Aily Labs’ reputation by ensuring consistency and relevance in all marketing efforts.
  
  

• 4-7+ years of B2B product marketing experience, preferably in SaaS or tech industries.
• Proven ability to craft and execute successful enterprise-level strategies without relying on paid media.
• Strong understanding of AI/ML concepts and how they apply to SaaS products.
• Exceptional communication skills, with experience presenting to senior executives and crafting high-impact messaging and marketing initiatives
• Stellar project management skills, able to juggle priorities and execute under tight deadlines.
• Creative problem-solver with a data-driven mindset, capable of turning insights into actionable strategies and thinking outside-the-box

• Familiarity with PR, media, and account-based marketing (ABM) strategies.
• Experience working with creative, comms, and MarTech vendors
• Skills in video/photo editing tools (Adobe Suite, Canva, etc.).

• A flexible working culture: Work from home or vibrant hubs in Barcelona or New York.
• Cutting-edge tools: A MacBook Pro (M2, 16GB) to maximize your productivity.
• Collaborative team: Join an internationally diverse group that thrives on creativity and support.
• Growth opportunities: Participate in bootcamps, knowledge-sharing events, and training tailored to your aspirations.
  
  

• Design and build security automation systems and platforms — from control monitoring to advanced threat detection capabilities or agentic red teaming
•  Secure complex data flows, data lakes, and AI training pipelines; implement DLP strategies at scale
• Protect AI models from adversarial attacks, data poisoning, and unauthorized access
• Implement cloud security controls for AWS environments and codify security policies through Infrastructure as Code

• Design security architectures for AI/ML systems handling regulated data
• Conduct threat models and security architecture reviews across all engineering teams
• Design authentication and authorization architectures (SSO, OAuth/OIDC, RBAC/ABAC) and review third-party integrations
• Ensure GDPR/CCPA/EU AI Act compliance and integrate SAST/DAST into CI/CD pipelines

• Design detection strategies against real attacker TTPs — from signal engineering to response workflows
• Build and operate an AI-native, agentic Security & Governance Observability Platform with autonomous agents that ingest telemetry, correlate signals, and execute responses
• Build data pipelines for security telemetry at scale and design intelligent automation that eliminates repetitive work
• Design incident response playbooks and automated remediation workflows across endpoint, cloud, and identity domains

• Design and implement security controls for corporate infrastructure — MDM, identity management, endpoint security, and access control architectures
• Build security automation and tooling for compliance and policy enforcement across corporate systems
• Define and enforce policies for company-wide AI usage and agentic tooling — ensuring safe adoption, data boundaries, and governance guardrails
• Review and validate architectural decisions for business systems (HRIS, CRM, Finance, Legal, BI) from Security and Data Architecture perspectives
• Provide Enterprise Architecture governance — ensuring business systems meet security and architectural standards through review, patterns, and guidance

• Strong systems thinking and ability to design at scale
• Cloud security experience (we use AWS) — Kubernetes, containers, cloud-native architectures
• AI-first mindset — you use AI tools daily and thrive in an AI-native environment
• Offensive security or red teaming background
• Clear communicator across technical and non-technical teams

• DLP in production environments
• Securing data-intensive systems (data lakes, analytics, AI pipelines)
• Building security platforms or governance tooling from scratch

• Privacy engineering (GDPR/CCPA)
• Security architecture for AI/ML and regulated data
• Threat modeling · IAM (SSO, OAuth/OIDC, RBAC/ABAC)
• Regulatory compliance (EU AI Act, HIPAA, SOX)
  

• Detection engineering against real TTPs
• Incident response or threat hunting
• Working with large-scale security telemetry

• Corporate Security systems (MDM, identity management, endpoint security)
• Identity and access management (Okta, Entra ID, Azure AD)
• Enterprise architecture review and governance
• AI usage governance and agentic tooling security

• Kubernetes hardening
• Terraform/IaC
• CSPM toolin
• AI/ML security tools or privacy-preserving techniques

• Advanced privacy techniques (differential privacy, federated learning)
• AI red teaming or adversarial ML
• SAST/DAST tools (Snyk, Checkmarx)
• Multi-jurisdiction compliance (HIPAA, SOX, PCI-DSS)

• SIEM/SOAR platforms (Splunk, Elastic, Sentinel)
• Graph databases or semantic data models
• Compliance control monitoring
• Agentic security systems or autonomous response workflows

• Network security (firewalls, VPN, NAC, segmentation)
• Email and messaging security (anti-phishing, DMARC, DLP)
• Endpoint hardening and EDR/XDR at fleet scale
• PKI, certificate management, and device trust architectures

Instead of traditional dashboards and reports, Aily delivers simple, personalized recommendations that help teams decide and act faster across finance, supply chain, R&D, commercial, and more. The app is designed to be intuitive for end users and easy to integrate for IT, so companies can move from analysis and indecision to confident, data-driven decisions every day.

Founded in 2020 in Munich, Aily Labs has grown into a global team of 300+ people across Munich, Barcelona, Madrid, Cluj, and New York. Our mission is to democratize AI in business and enable leaders to Lead Boldly, turning complex data into decisions that drive real, measurable impact.

We are looking for Data Scientists who are passionate about the power of AI and who thrive at the intersection of business, analytics, and AI: someone who not only trains models but also deeply understands the business context in which they're applied. Your job is to make sure AI is solving the right problems, using the right approaches, and driving measurable impact.

About this role – Domains Department

The Data Science Domains Department powers business-critical decision-making across four key areas of enterprise operations. We build and deploy AI-driven features that transform how business leaders understand and act on complex data challenges in their specific domains.

Each domain has distinct requirements, challenges, and opportunities—but all share the mission of delivering real-time, actionable AI insights that drive measurable business impact.

Our Four Domains:

• Finance (FIN): We enable smarter, faster financial decision-making across the enterprise by partnering with Finance teams to improve forecasting accuracy, planning agility, and financial transparency through AI-driven solutions. We tackle volatile revenue and demand signals, large-scale multi-dimensional forecasting, and resource allocation under uncertainty, while ensuring models remain explainable and actionable. Our work moves Finance beyond reactive reporting toward proactive data-driven decision-making, powered by production-grade ML systems at enterprise scale.

• Manufacturing & Supply Chain (M&S): We optimize the end-to-end manufacturing and supply chain with cutting-edge AI. Our team works closely with supply chain champions across Fortune 500 companies to drive impact: from helping pharmaceutical companies to avoid out-of-stocks to reducing machine breakdown in consumer good factories. Our solutions consist of a mix of statistical, machine learning, GenAI, Knowledge Graph, and agentic techniques to tackle challenges such as low signal demand forecasting, explainability for supply chain autonomy, and providing detailed actionable recommendations based on a mix of textual, image, and structured data.

• Research & Development (R&D): We are passionate about clinical operations and portfolio management. Our team partners closely with pharmaceutical and biotech companies to deliver innovative AI-driven solutions that optimize clinical trial recruitment and accelerate pipeline innovation. Some of the exciting use cases we’ve worked on include predicting patient enrollment, optimizing trial design, building knowledge graphs across the pharma ecosystem, and more.

• Cross-Functional (XF): this team addresses critical business areas that extend beyond the scope of our other specialized domains. We apply AI to diverse functions spanning procurement, people analytics, commercial operations, and more - developing solutions that transform these essential but often underserved areas. By focusing on these complementary business functions, we ensure our AI platform delivers comprehensive value across the entire enterprise, helping organizations unlock insights and efficiencies in every corner of their operations.

Mid Data Scientist - 2–4 years of experience

• Design and implement end-to-end data pipelines (ingestion → transformation → quality → delivery) for multiple use cases with growing autonomy.

• Build and maintain data infrastructure components (streaming pipelines, transformations, APIs, catalogs) using modern data tools.

• Implement robust data quality frameworks, monitoring, and alerting systems at scale.

• Optimize data workflows for cost, performance,e and reliability across multiple datasets.

• Mentor junior team members on data engineering best practices and tooling.

Senior/Lead Data Scientist – 4+ years 

• All of the above +

• Have comprehensive MLOps expertise, advanced Python/SQL skills, and domain specialization; enforce code quality standards across the team

• Own key features and projects; design and improve models, pipelines, and experimentation frameworks

• Lead 1+ major projects as AI lead with full accountability; break down work, assign tasks, and manage multiple workstreams with stakeholder alignment

• Communicate and align with internal/external stakeholders; turn business requirements into AI solutions; make speed vs. quality trade-offs

• Provide technical mentorship; set modeling standards and drive cross-functional delivery with PMs, engineers, and customers

Who we’re looking for (all levels)

• Someone who thrives at the intersection of business, analytics, and AI and wants to ensure AI solves the right problems with measurable impact.

• A scientist and builder: you explore multiple approaches, analyze results, and iterate fast, balancing cutting‑edge techniques with simple, scalable solutions.

• A strong communicator who adapts the message to different audiences and enjoys working cross‑functionally with product, engineering, and business stakeholders.

• Someone with a startup mindset: comfortable with ambiguity, proactive, and hands‑on when something needs fixing or improving.

• Ready to Lead Boldly – helping business leaders make decisive decisions powered by real-time AI insights

• Applicants must already have the legal right to work in Spain

Location & details

• Locations: New York City

• Contract type: Permanent.

• Work policy: hybrid (2 days per week in the office)

Leverage beauty and luxury CPG industry expertise to understand business challenges translate them into AI solutions to achieve measurable business value 

Coordinate Aily efforts across the account, ensuring alignment across all domains, and partner closely with the Account Executive to drive account renewal and expansion.

YOUR MISSION

As a Beauty Industry Business Impact Lead (BIL), you are the senior industry authority responsible for long-term value realization and strategic account development across Fortune 500 clients within Beauty & Luxury CPG vertical. 

This role goes beyond a traditional Customer Success Manager profile, combining strategic account leadership, executive advisory, and industry authority.

While Domain BILs drive deployment and operational leadership, the Industry BIL drives executive alignment, value delivery, strategic account planning, and readying accounts for expansion and renewal. 

The mission is to convert usage into measurable business impact, act as a trusted advisor to senior stakeholders, and position Aily as a strategic partner embedded in the client’s decision ecosystem. Internally, you represent the voice of the industry to ensure our product and value narrative remain aligned with sector priorities. 

YOUR RESPONSIBILITIES

Executive Relationships & Trusted Advisory 

• Build and sustain trusted relationships with C-level and senior stakeholders 

• Develop executive champions 

• Embed AI into governance forums and performance discussions 

• Advise clients on how AI accelerates value within their industry context 

Industry Authority in the Room Internally and Externally 

• Bring deep understanding of industry value chains, economics, and performance drivers 

• Map executive routines and governance structures to identify high-impact decision moments 

• Align Aily insights to industry-specific strategic priorities and P&L levers 

• Provide dotted-line leadership to Domain BILs across the account, ensuring a coherent value narrative 

• Coordinate cross-domain impact tracking and executive positioning 

• Translate beauty and luxury CPG industry knowledge and market dynamics into product refinement and industry-specific positioning 

Champion ROAI for our customers

• Orchestrate Aily’s engagement with customers to ensure value delivery

• Partner closely with Aily App users to identify and document impact and quantifiable value

• Serve as the voice of the customer within Aily to help drive product evolution

• Lead large-scale adoption and advocacy initiatives 

• 7+ years of experience in the beauty or luxury CPG industries with deep understanding of industry economics and executive governance

• Proven track record with Fortune 500 clients in beauty or luxury CPG industries

• Strong executive presence with the ability to build lasting C-level relationships

• Clear accountability for value realization and measurable outcomes

• Comfortable operating autonomously in complex enterprise environment

• Extreme ownership mindset with accountability for outcomes, value delivery, and account growth

Strongly Preferred:

• Background in strategy consulting or customer success

• MBA or other related academic experience

• AI savvy mindset with experience using AI to solve real-world business challenges

• Exposure to enterprise SaaS environments

• Experience mentoring, leading, or scaling small teams or domain practices

• Translate manufacturing and supply chain routines into product requirements and AI decision logic
• Define AI outcomes and decision quality standards
• Co-shape scalable product capabilities across manufacturing and supply use cases
• Partner with Product, ML, and Engineering on feasibility and product readiness
• Define and own data requirements, data collection, and AI fine-tuning needs to accelerate deployment and time to value
• Influence the product roadmap through client impact and adoption insights

• Act as the trusted manufacturing and supply domain expert for clients and internal Product and AI teams
• Be the trusted advisor to manufacturing leaders, supply chain heads, and COOs
• Represent user needs in product and roadmap discussions
• Communicate AI and data topics, assumptions, and trade-offs in clear operational language
• Be the mentor and coach to the junior members of the team in terms of expertise and eminence

• Drive rollouts from entry-point use cases to enterprise-wide adoption
• Own time to first active user and time to routine across manufacturing and supply deployments
• Upskill and evangelize users and champions through workshops, executive sessions, and engagement campaigns
• Ensure AI becomes embedded into daily manufacturing site and supply decision-making cadences

• Bachelor, Master, or MBA degree in Engineering, Supply Chain, Operations, Business, or a related field
• Strong understanding of manufacturing site operations and supply chain decision-making in large enterprises
• 5-7 years of experience in consulting with focus on manufacturing, supply chain, operations transformation, or corporate manufacturing leadership roles
• Exposure to analytics, performance management, or AI initiatives within the domain
• Tech-savvy profile with familiarity with data and AI concepts, including data requirements and model behavior, gained through close collaboration with product and data science teams
• Proven experience working with Fortune 500 or large enterprise clients
• Extreme ownership mindset, with accountability for outcomes, adoption, and time to value
• Strong communication skills with senior and executive stakeholders
• Ability to operate autonomously in complex, multi-stakeholder environments

• Background in tech consulting, solution architecture, or product-facing roles
• Experience with AI-powered, analytics, or data-intensive operational products
• Exposure to enterprise SaaS environments
• Experience mentoring, leading, or scaling small teams or domain practices
• Experience working across global manufacturing networks or multi-site supply organizations

Why Aily

• Work at the intersection of AI, manufacturing, and supply chain transformation, shaping how Fortune 500 companies operate
• Take real ownership of outcomes, from product design to measurable operational impact
• Partner directly with manufacturing site leaders, supply heads, and executive teams across global organizations
• Be part of a high-performing, international team with strong product and AI DNA
• Hybrid setup with 2–3 days per week in our Madrid, Barcelona or Munich office
• Competitive compensation with performance-based rewards
• Open feedback culture, continuous learning, and freedom to experiment
• Memorable team off-sites, global events, and a culture that values ambition, autonomy, and impact

• Act as the manufacturing and supply domain expert and solution architect for Aily App modules:
• Internally: Translate manufacturing and supply chain routines into product requirements and AI decision logic, refine model performance, and shape the product roadmap and future high-impact operational use cases.
• Externally: Drive client value realization by leading deployments, guiding operational data readiness, validating AI through manufacturing site and supply leadership feedback, upskilling operational managers and executives, and accelerating time to value.
  

• Translate manufacturing and supply chain routines into product requirements and AI decision logic
• Define AI outcomes and decision quality standards
• Co-shape scalable product capabilities across manufacturing and supply use cases
• Partner with Product, ML, and Engineering on feasibility and product readiness
• Define and own data requirements, data collection, and AI fine-tuning needs to accelerate deployment and time to value
• Influence the product roadmap through client impact and adoption insights

• Act as the trusted manufacturing and supply domain expert for clients and internal Product and AI teams
• Be the trusted advisor to manufacturing leaders, supply chain heads, and COOs
• Represent user needs in product and roadmap discussions
• Communicate AI and data topics, assumptions, and trade-offs in clear operational language
• Be the mentor and coach to the junior members of the team in terms of expertise and eminence

• Drive rollouts from entry-point use cases to enterprise-wide adoption
• Own time to first active user and time to routine across manufacturing and supply deployments
• Upskill and evangelize users and champions through workshops, executive sessions, and engagement campaigns
• Ensure AI becomes embedded into daily manufacturing site and supply decision-making cadences

• Bachelor, Master, or MBA degree in Engineering, Supply Chain, Operations, Business, or a related field
• Strong understanding of manufacturing site operations and supply chain decision-making in large enterprises
• 5-7 years of experience in consulting with focus on manufacturing, supply chain, operations transformation, or corporate manufacturing leadership roles
• Exposure to analytics, performance management, or AI initiatives within the domain
• Tech-savvy profile with familiarity with data and AI concepts, including data requirements and model behavior, gained through close collaboration with product and data science teams
• Proven experience working with Fortune 500 or large enterprise clients
• Extreme ownership mindset, with accountability for outcomes, adoption, and time to value
• Strong communication skills with senior and executive stakeholders
• Ability to operate autonomously in complex, multi-stakeholder environments

• Background in tech consulting, solution architecture, or product-facing roles
• Experience with AI-powered, analytics, or data-intensive operational products
• Exposure to enterprise SaaS environments
• Experience mentoring, leading, or scaling small teams or domain practices
• Experience working across global manufacturing networks or multi-site supply organizations

Why Aily

• Work at the intersection of AI, manufacturing, and supply chain transformation, shaping how Fortune 500 companies operate
• Take real ownership of outcomes, from product design to measurable operational impact
• Partner directly with manufacturing site leaders, supply heads, and executive teams across global organizations
• Be part of a high-performing, international team with strong product and AI DNA
• Hybrid setup with 2–3 days per week in our Madrid, Barcelona or Munich office
• Competitive compensation with performance-based rewards
• Open feedback culture, continuous learning, and freedom to experiment
• Memorable team off-sites, global events, and a culture that values ambition, autonomy, and impact

Internally

Externally

Your Responsibilities

Procurement Solution Architecture

• Translate procurement routines into product requirements and AI decision logic
• Define AI outcomes and decision quality standards
• Co-shape scalable product capabilities and future use cases
• Partner with Product, ML, and Engineering on feasibility and readiness
• Define and own data requirements, data collection, and AI fine-tuning needs to accelerate deployment and time to value
• Influence the product roadmap through client and adoption insights

Procurement Authority in the Room

• Act as the trusted procurement domain expert for clients and internal Product and AI teams
• Be the trusted advisor to C-level procurement stakeholders and turn them into champions
• Represent procurement user needs in product and roadmap discussions
• Communicate AI and data topics, assumptions, and trade-offs in clear business language

Deployment, Adoption & Time-to-Value

• Drive rollouts from entry-point procurement use cases to enterprise-wide adoption
• Own time to first active user and time to routine across procurement deployments
• Upskill and evangelize procurement users through workshops, executive sessions, and engagement campaigns

About You

Must have

• Bachelor, Master, or MBA degree in Business, Supply Chain, Engineering, or a related field
• Strong understanding of corporate procurement routines and enterprise decision-making
• 5+ / 7+ years of experience in procurement consulting or corporate procurement roles, with exposure to strategic sourcing, category management, supplier performance, or spend analytics
• Tech-savvy profile with fluency in data and AI concepts, including data requirements and model behavior, gained through close collaboration with product and data science teams
• Proven experience working with Fortune 500 or large enterprise clients
• Extreme ownership mindset, with accountability for outcomes, adoption, and time to value
• Strong communication skills with senior procurement and executive stakeholders
• Ability to operate autonomously in complex, multi-stakeholder environments

Strongly preferred

• Background in tech consulting, solution architecture, or product-facing roles
• Experience with AI-powered, analytics, or data-intensive products
• Exposure to enterprise SaaS environments
• Experience mentoring, leading, or scaling small teams or domain practices

Why Aily

• Work at the intersection of AI, procurement, and enterprise decision-making, shaping how Fortune 500 companies operate
• Take real ownership of outcomes, from product design to measurable business impact
• Partner directly with senior procurement leaders and executive teams across global organizations
• Be part of a high-performing, international team with strong product and AI DNA
• Hybrid setup with 2–3 days per week in our NYC office
• Competitive compensation with performance-based rewards
• Open feedback culture, continuous learning, and freedom to experiment
• Regular team off-sites, global events, and a culture that values ambition, autonomy, and impact

Internally

Externally

Your Responsibilities

R&D Solution Architecture

• Translate research, portfolio governance, and clinical development routines into product requirements and AI decision logic
• Define AI outcomes and R&D decision quality standards
• Co-shape scalable product capabilities across research, portfolio, and clinical use cases
• Partner with Product, ML, and Engineering on feasibility and R&D operational readiness
• Define and own data requirements, data collection, and AI fine-tuning needs to accelerate deployment and time to value
• Influence the product roadmap through client impact and adoption insights

R&D Authority in the Room

• Act as the trusted R&D domain expert for clients and internal Product and AI teams
• Be the trusted advisor to Chief R&D Officers, Heads of R&D, portfolio leaders, clinical operations heads, and innovation executives
• Represent R&D user needs in product and roadmap discussions
• Communicate AI and data topics, assumptions, and trade-offs in clear business language

Deployment, Adoption & Time-to-Value

• Drive rollouts from entry-point use cases to enterprise-wide adoption
• Own time to first active user and time to routine across R&D deployments
• Upskill and evangelize R&D users through workshops, executive sessions, and engagement campaigns
• Ensure AI becomes embedded into daily R&D governance, portfolio, and clinical decision-making cadences

About You

Must have

• Bachelor, Master, PhD, or MBA degree in Life Sciences, Engineering, Business, or a related field
• Strong understanding of R&D decision-making in large enterprises, including portfolio governance and clinical development processes
• 5+/7+ years of experience in R&D strategy, pharmaceutical consulting, clinical operations, portfolio management, or innovation leadership roles
• Exposure to R&D analytics, performance management, or digital transformation initiatives
• Tech-savvy profile with fluency in data and AI concepts, including data requirements and model behavior, gained through close collaboration with product and data science teams
• Proven experience working with Fortune 500 or large enterprise clients
• Extreme ownership mindset, with accountability for outcomes, adoption, and time to value
• Strong communication skills with senior R&D and executive stakeholders
• Ability to operate autonomously in complex, multi-stakeholder environments

Strongly preferred

• Background in tech consulting, solution architecture, or product-facing roles
• Experience with AI-powered, analytics, or data-intensive R&D products
• Exposure to enterprise SaaS environments
• Experience mentoring, leading, or scaling small teams or domain practices
• Experience working across global R&D organizations or multi-therapeutic portfolios teams

• Work at the intersection of AI, procurement, and enterprise decision-making, shaping how Fortune 500 companies operate
• Take real ownership of outcomes, from product design to measurable business impact
• Partner directly with senior procurement leaders and executive teams across global organizations
• Be part of a high-performing, international team with strong product and AI DNA
• Hybrid setup with 2–3 days per week in our Barcelona, Madrid, Munich or NYC office
• Competitive compensation with performance-based rewards
• Open feedback culture, continuous learning, and freedom to experiment
• Regular team off-sites, global events, and a culture that values ambition, autonomy, and impact

Founded in 2020, Aily is a fast-growing AI company with teams across Munich, Barcelona, Madrid, and Cluj. We’re now 250+ engineers, data scientists, and builders working on a single mission: democratize AI and turn complex data into clear, actionable decisions instantly.

Our AI-powered mobile app delivers real business insights at the speed of a swipe. No dashboards. No friction. Just answers.

If you’re excited by product-led companies, real impact, and building something category-defining with people who care deeply about what they do, you’ll feel at home here.

Why this role matters

Recruiting at Aily is not a support function.
It’s a strategic lever for growth.

As a  Senior Talent Acquisition, you’ll help shape the teams that build our product, scale our platform, and define our culture. You won’t just “fill roles”, you’ll influence how we grow, who we hire, and how Aily evolves.

This role is for someone who enjoys ownership, autonomy, and partnering closely with leaders in a fast-moving environment

What you’ll do

• Partner deeply with hiring managers to build world-class engineering, data, and business teams

• Own the full recruitment lifecycle across multiple technical and business domains

• Design creative sourcing strategies that go beyond the obvious and reach exceptional talent

• Act as a trusted advisor on hiring strategy, market trends, and candidate experience

• Run sourcing, screening, interviews, and assessments end-to-end with high autonomy

• Help evolve our recruiting processes and scale them as the company grows

• Contribute to employer branding and talent initiatives that reflect who we really are

• Collaborate closely with People, Product, Business and Leadership to continuously improve how we hire and grow teams

• Thrive in hands-on, high-ownership environments
• Enjoy building things from scratch and improving what already exists
• Believe recruiting is about impact, not volume
• Are comfortable in fast-growing, sometimes messy startup contexts
• Communicate openly, thoughtfully, and with curiosity
• Like working closely with people and influencing decisions
• Want to grow alongside the company and take on more responsibility over time

About Us

Aily Labs is a B2B SaaS company building an AI-powered decision intelligence app for enterprises. Our mobile-first platform combines company data with advanced machine learning, large language models and agentic AI to give business leaders clear, actionable insights in real time.

Instead of traditional dashboards and reports, Aily delivers simple, personalized recommendations powered by GenAI that help teams decide and act faster across finance, supply chain, R&D, commercial, and more. The app is designed to be intuitive for end users and easy to integrate for IT, so companies can move from analysis and indecision to confident, data-driven decisions every day.

Founded in 2020 in Munich, Aily Labs has grown into a global team of 300+ people across Munich, Barcelona, Madrid, Cluj, and New York. Our mission is to democratize AI in business and enable leaders to Lead Boldly, turning complex data into decisions that drive real, measurable impact.

About the Team & The Role: 
We are looking for exceptionally smart and driven AI Research Engineers to join a small, highly technical, and specialized research team at Aily. 

This team operates at the bleeding edge of AI, focusing on high-impact, moderately higher-risk projects that directly influence our end product. While your day-to-day work will heavily involve Language Models and Agentic AI, we expect you to be deeply versed in all of Machine Learning. You will have the runway to dive deep into model architectures, debug complex algorithmic behaviors, fine-tune state-of-the-art models, and translate your findings into deployable product enhancements. 
While our ultimate goal is delivering business value, we maintain a strong culture of scientific rigor. If an experiment yields novel, high-quality results, you will have the opportunity and support to publish your findings in top-tier AI conferences (e.g., NeurIPS, ICLR, ACL).

Core responsibilities (by seniority)

• Experiment & Build: Design, set up, and execute experiments focusing on LLMs, Agentic AI, model fine-tuning, and broader ML systems. Manage reproducible research pipelines, version code, and data, and select the right frameworks for prototyping.
  Algorithmic Debugging: Actively investigate why a model isn’t converging, why outputs are inconsistent, or why results are unreliable across different ML architectures.
• Code Quality: Write clean, modular code (effective use of classes, functions, and documentation) following strict software engineering best practices.
• Autonomous Delivery: Deliver projects with a high degree of autonomy. Present results clearly, explain the AI behind your findings, and align experiments with team priorities.

• End-to-End Ownership & Strategy: Deliver clean, extendable research pipelines end-to-end. Set and drive the overall research strategy based on expected business leverage, identifying domain-wide opportunities.
• Bridge Research & Product: Translate experimental findings and research breakthroughs into clear, actionable, and deployable directions for the Data Science, MLE, and Product teams.
• Mentorship & Leadership: Supervise and mentor team members, delegate tasks effectively, and drive the adoption of impactful research innovations across broader engineering teams.
• Advanced Systems & MLOps: Utilize advanced knowledge of MLOps to define and develop robust E2E code pipelines for cutting-edge models.
• External Presence: Act as a representative of Aily's research efforts, build university relationships, and spearhead efforts to publish papers at top conferences.

Who We’re Looking For

• The Academic Background: A Master's degree (required) in a highly technical and quantitative field such as Mathematics, Physics, Engineering, Computer Science, or a rigorous double degree.
• The Foundations (All of ML): You have zero gaps in your machine learning fundamentals. While you will work extensively with LLMs, you have a deep, mathematical intuition for classical ML, deep learning, and how models learn (and fail) across the board.
• The Tech Stack & Tools: You have extensive, highly proficient experience with Python and SQL. You possess a strong track record working with Language Models, Agentic AI workflows, and deep expertise in model fine-tuning (experience with Knowledge Graphs is a plus).
• MLOps: You are not just a researcher; you are highly capable of deploying solutions into production environments using tools like Docker and other containerization technologies.
• The Mindset (Autonomous & Sharp): You are exceptionally smart, highly autonomous, and thrive in ambiguity. You don't just wait for instructions; you proactively identify problems and rigorously test solutions. You keep up to date with the latest SOTA technology and research breakthroughs.
• The Communicator: You can present complex research results clearly to both highly technical peers and non-technical business stakeholders.
• Applicants must already have the legal right to work in Spain

Bonus Points:

• A Ph.D. in a relevant technical field is a strong plus.
• Previous experience in academic or industrial AI research labs.
• Publication record at top-tier AI/ML conferences/journals
  
  

• Locations: Madrid (MAD), Barcelona (BCN).
• Contract type: Permanent.
• Work policy: hybrid (2 days per week in the office)

Aily Labs is a fast-growing applied AI scale-up founded in 2020, with hubs in Munich, Barcelona, Madrid, New York City, and Cluj-Napoca. We build AI-powered products that help large enterprises make better decisions, faster.

Our flagship AI mobile app delivers real-time, actionable business insights across core functions, breaking silos and embedding AI directly into daily business routines. Our ambition is to become the reference platform for AI-driven decision-making in large organizations.

As a Beauty Industry Business Impact Lead (BIL), you are the senior industry authority responsible for long-term value realization and strategic account development across Fortune 500 clients within Beauty & Luxury CPG vertical. 

This role goes beyond a traditional Customer Success Manager profile, combining strategic account leadership, executive advisory, and industry authority.

While Domain BILs drive deployment and operational leadership, the Industry BIL drives executive alignment, value delivery, strategic account planning, and readying accounts for expansion and renewal. 

The mission is to convert usage into measurable business impact, act as a trusted advisor to senior stakeholders, and position Aily as a strategic partner embedded in the client’s decision ecosystem. Internally, you represent the voice of the industry to ensure our product and value narrative remain aligned with sector priorities. 

Serve as trusted partner and AI advisor to executive leaders at Fortune 500 companies to champion value delivery from the Aily App.

Leverage beauty and luxury CPG industry expertise to understand business challenges translate them into AI solutions to achieve measurable business value 

Coordinate Aily efforts across the account, ensuring alignment across all domains, and partner closely with the Account Executive to drive account renewal and expansion.

• Build and sustain trusted relationships with C-level and senior stakeholders  
• Develop executive champions  
• Embed AI into governance forums and performance discussions  
• Advise clients on how AI accelerates value within their industry context  

• Bring deep understanding of industry value chains, economics, and performance drivers  
• Map executive routines and governance structures to identify high-impact decision moments  
• Align Aily insights to industry-specific strategic priorities and P&L levers  
• Provide dotted-line leadership to Domain BILs across the account, ensuring a coherent value narrative  
• Coordinate cross-domain impact tracking and executive positioning  
• Translate beauty and luxury CPG industry knowledge and market dynamics into product refinement and industry-specific positioning  

• Orchestrate Aily’s engagement with customers to ensure value delivery
• Partner closely with Aily App users to identify and document impact and quantifiable value
• Serve as the voice of the customer within Aily to help drive product evolution
• Lead large-scale adoption and advocacy initiatives  

• 7+ years of experience in the Beauty or Luxury CPG industries with deep understanding of industry economics and executive governance
• Proven track record with Fortune 500 clients in beauty or luxury CPG industries
• Strong executive presence with the ability to build lasting C-level relationships
• Clear accountability for value realization and measurable outcomes
• Comfortable operating autonomously in complex enterprise environment
• Extreme ownership mindset with accountability for outcomes, value delivery, and account growth

• Background in strategy consulting or customer success
• MBA or other related academic experience
• AI savvy mindset with experience using AI to solve real-world business challenges
• Exposure to enterprise SaaS environments
• Experience mentoring, leading, or scaling small teams or domain practices

• Work at the intersection of AI, finance, and enterprise decision-making
• Take real ownership of outcomes and impact
• Partner directly with senior finance leaders across global organizations
• Hybrid setup with 2–3 days per week in our NYC office
• Competitive compensation and performance-based rewards
• Open feedback culture, learning mindset, and memorable team off-sites

• Internally: Convert corporate finance routines and client context into product requirements and AI decision logic, improve AI outcomes through structured business feedback and validation, and shape the product roadmap and future high impact use cases.
• Externally: Drive client value realization by leading product deployments, guiding data readiness, validating AI through business feedback, upskilling finance managers and C-level stakeholders, and accelerating time to value.

• Translate finance routines into product requirements and AI decision logic
• Define AI outcomes and decision quality standards
• Co-shape scalable product capabilities and future use cases
• Partner with Product, ML, and Engineering on feasibility and readiness
• Define and own data requirements, data collection, and AI fine-tuning needs to accelerate deployment and time to value
• Influence the product roadmap through client and adoption insights

• Act as the trusted finance domain expert for clients and internal Product and AI teams
• Be the trusted advisor to C-level finance stakeholders and turn them into champions
• Represent finance user needs in product and roadmap discussions
• Communicate AI and data topics, assumptions, and trade-offs in clear business language
• Share your expertise with the domain team and mentor, coach and upskill the junior members

• Drive rollouts from entry-point finance use cases to enterprise-wide adoption
• Own time to first active user and time to routine across finance deployments
• Upskill and evangelize finance users through workshops, executive sessions, and engagement campaigns

• Strong understanding of corporate finance routines and enterprise decision-making
• 5+ / 7+ years of experience in finance consulting or corporate finance roles, with exposure to finance analytics or solution-oriented environments (IMPORTANT: seniority fir for Senior or Principal role will be assessed during the interview.).
• Tech-savvy profile with fluency in data and AI concepts, including data requirements and model behavior
• Proven experience working with Fortune 500 or large enterprise clients
• Extreme ownership mindset with accountability for outcomes, adoption, and time to value
• Strong communication skills with senior finance and executive stakeholders

• Background in tech consulting, solution architecture, or product-facing roles
• Experience with AI-powered, analytics, or data-intensive products
• Exposure to enterprise SaaS environments
• Experience mentoring, leading, or scaling small teams or domain practices

• Work at the intersection of AI, finance, and enterprise decision-making
• Take real ownership of outcomes and impact
• Partner directly with senior finance leaders across global organizations
• Hybrid setup with 2–3 days per week in our NYC office
• Competitive compensation and performance-based rewards
• Open feedback culture, learning mindset, and memorable team off-sites

Internally

Externally

Your Responsibilities

R&D Solution Architecture

• Translate research, portfolio governance, and clinical development routines into product requirements and AI decision logic
• Define AI outcomes and R&D decision quality standards
• Co-shape scalable product capabilities across research, portfolio, and clinical use cases
• Partner with Product, ML, and Engineering on feasibility and R&D operational readiness
• Define and own data requirements, data collection, and AI fine-tuning needs to accelerate deployment and time to value
• Influence the product roadmap through client impact and adoption insights

R&D Authority in the Room

• Act as the trusted R&D domain expert for clients and internal Product and AI teams
• Be the trusted advisor to Chief R&D Officers, Heads of R&D, portfolio leaders, clinical operations heads, and innovation executives
• Represent R&D user needs in product and roadmap discussions
• Communicate AI and data topics, assumptions, and trade-offs in clear business language

Deployment, Adoption & Time-to-Value

• Drive rollouts from entry-point use cases to enterprise-wide adoption
• Own time to first active user and time to routine across R&D deployments
• Upskill and evangelize R&D users through workshops, executive sessions, and engagement campaigns
• Ensure AI becomes embedded into daily R&D governance, portfolio, and clinical decision-making cadences

• Bachelor, Master, PhD, or MBA degree in Life Sciences, Engineering, Business, or a related field
• Strong understanding of R&D decision-making in large enterprises, including portfolio governance and clinical development processes
• 5+/7+ years of experience in R&D strategy, pharmaceutical consulting, clinical operations, portfolio management, or innovation leadership roles
• Exposure to R&D analytics, performance management, or digital transformation initiatives
• Tech-savvy profile with fluency in data and AI concepts, including data requirements and model behavior, gained through close collaboration with product and data science teams

Strongly recommended:

• Background in tech consulting, solution architecture, or product-facing roles
• Experience with AI-powered, analytics, or data-intensive R&D products
• Exposure to enterprise SaaS environments
• Experience mentoring, leading, or scaling small teams or domain practices
• Experience working across global R&D organizations or multi-therapeutic portfolios teams
• Proven experience working with Fortune 500 or large enterprise clients
• Extreme ownership mindset, with accountability for outcomes, adoption, and time to value
• Strong communication skills with senior procurement and executive stakeholders
• Ability to operate autonomously in complex, multi-stakeholder environments

Why Aily:

• Work at the intersection of AI, manufacturing, and supply chain transformation, shaping how Fortune 500 companies operate
• Take real ownership of outcomes, from product design to measurable operational impact
• Partner directly with manufacturing site leaders, supply heads, and executive teams across global organizations
• Be part of a high-performing, international team with strong product and AI DNA
• Hybrid setup with 2–3 days per week in our Madrid, Barcelona or Munich office
• Competitive compensation with performance-based rewards
• Open feedback culture, continuous learning, and freedom to experiment
• Memorable team off-sites, global events, and a culture that values ambition, autonomy, and impact

This role goes beyond a traditional Customer Success Manager profile, combining strategic account leadership, executive advisory, and industry authority.

While Domain BILs drive deployment and operational leadership, the Industry BIL drives executive alignment, value delivery, strategic account planning, and readying accounts for expansion and renewal. 

The mission is to convert usage into measurable business impact, act as a trusted advisor to senior stakeholders, and position Aily as a strategic partner embedded in the client’s decision ecosystem. Internally, you represent the voice of the industry to ensure our product and value narrative remain aligned with sector priorities. 

WHAT YOU WILL DO

Serve as trusted partner and AI advisor to executive leaders at Fortune 500 companies to champion value delivery from the Aily App.

Leverage biopharma industry expertise to understand business challenges translate them into AI solutions to achieve measurable business value 

Coordinate Aily efforts across the account, ensuring alignment across all domains, and partner closely with the Account Executive to drive account renewal and expansion.

YOUR RESPONSIBILITIES

• Executive Relationships & Trusted Advisory 

• Build and sustain trusted relationships with C-level and senior stakeholders 

• Develop executive champions 

• Embed AI into governance forums and performance discussions 

• Advise clients on how AI accelerates value within their industry context 

Industry Authority in the Room Internally and Externally 

• Bring deep understanding of industry value chains, economics, and performance drivers 

• Map executive routines and governance structures to identify high-impact decision moments 

• Align Aily insights to industry-specific strategic priorities and P&L levers 

• Provide dotted-line leadership to Domain BILs across the account, ensuring a coherent value narrative 

• Coordinate cross-domain impact tracking and executive positioning 

• Translate biopharma industry knowledge and market dynamics into product refinement and industry-specific positioning 

Champion ROAI for our customers

• Orchestrate Aily’s engagement with customers to ensure value delivery

• Partner closely with Aily App users to identify and document impact and quantifiable value

• Serve as the voice of the customer within Aily to help drive product evolution

• Lead large-scale adoption and advocacy initiatives 

• 7+ years of experience in the pharma industry with deep understanding of industry economics and executive governance

• Proven track record with Fortune 500 pharma clients in the target industry

• Strong executive presence with the ability to build lasting C-level relationships

• Clear accountability for value realization and measurable outcomes

• Comfortable operating autonomously in complex enterprise environment

• Extreme ownership mindset with accountability for outcomes, value delivery, and account growth

Strongly Preferred:

• Background in strategy consulting or customer success

• Strong understanding of pharmaceutical R&D, portfolio strategy, and/or business development

• MBA or other related academic experience

• AI savvy mindset with experience using AI to solve real-world business challenges

• Exposure to enterprise SaaS environments

• Experience mentoring, leading, or scaling small teams or domain practices

Aily Labs is a fast-growing applied AI scale-up founded in 2020, with hubs in Munich, Barcelona, Madrid, New York City, and Cluj-Napoca. We build AI-powered products that help large enterprises make better decisions, faster.

Our flagship AI mobile app delivers real-time, actionable business insights across core functions, breaking silos and embedding AI directly into daily business routines. Our ambition is to become the reference platform for AI-driven decision-making in large organizations.

As a Pharma Industry Business Impact Lead (BIL), you are the senior industry authority responsible for long-term value realization and strategic account development across Fortune 500 clients within Pharma and Life Sciences vertical. 

This role goes beyond a traditional Customer Success Manager profile, combining strategic account leadership, executive advisory, and industry authority.

While Domain BILs drive deployment and operational leadership, the Industry BIL drives executive alignment, value delivery, strategic account planning, and readying accounts for expansion and renewal. 

The mission is to convert usage into measurable business impact, act as a trusted advisor to senior stakeholders, and position Aily as a strategic partner embedded in the client’s decision ecosystem. Internally, you represent the voice of the industry to ensure our product and value narrative remain aligned with sector priorities. 

Serve as trusted partner and AI advisor to executive leaders at Fortune 500 companies to champion value delivery from the Aily App.

Leverage biopharma industry expertise to understand business challenges translate them into AI solutions to achieve measurable business value 

Coordinate Aily efforts across the account, ensuring alignment across all domains, and partner closely with the Account Executive to drive account renewal and expansion.

• Build and sustain trusted relationships with C-level and senior stakeholders  
• Develop executive champions  
• Embed AI into governance forums and performance discussions  
• Advise clients on how AI accelerates value within their industry context  

• Bring deep understanding of industry value chains, economics, and performance drivers  
• Map executive routines and governance structures to identify high-impact decision moments  
• Align Aily insights to industry-specific strategic priorities and P&L levers  
• Provide dotted-line leadership to Domain BILs across the account, ensuring a coherent value narrative  
• Coordinate cross-domain impact tracking and executive positioning  
• Translate biopharma industry knowledge and market dynamics into product refinement and industry-specific positioning  

• Orchestrate Aily’s engagement with customers to ensure value delivery
• Partner closely with Aily App users to identify and document impact and quantifiable value
• Serve as the voice of the customer within Aily to help drive product evolution
• Lead large-scale adoption and advocacy initiatives  

• 7+ years of experience in the Pharma industry with deep understanding of industry economics and executive governance
• Proven track record with Fortune 500 Pharma clients in the target industry
• Strong executive presence with the ability to build lasting C-level relationships
• Clear accountability for value realization and measurable outcomes
• Comfortable operating autonomously in complex enterprise environment
• Extreme ownership mindset with accountability for outcomes, value delivery, and account growth

• Background in strategy consulting or customer success
• Strong understanding of pharmaceutical R&D, portfolio strategy, and/or business development
• MBA or other related academic experience
• AI savvy mindset with experience using AI to solve real-world business challenges
• Exposure to enterprise SaaS environments
• Experience mentoring, leading, or scaling small teams or domain practices

• Work at the intersection of AI, finance, and enterprise decision-making
• Take real ownership of outcomes and impact
• Partner directly with senior finance leaders across global organizations
• Hybrid setup with 2–3 days per week in our NYC office
• Competitive compensation and performance-based rewards
• Open feedback culture, learning mindset, and memorable team off-sites

• Build and maintain the company’s integrated operating model across revenue, margins, and cash
• Develop driver-based models connecting product usage, GTM activity, and growth economics
• Design scenario frameworks supporting key decisions around growth, pricing, and investment
• Evolve financial models from static spreadsheets into automated financial intelligence

• Translate complex financial and market dynamics into clear strategic narratives
• Produce investor-grade and board-level materials with exceptional analytical clarity
• Help shape the company’s equity story and strategic positioning within the AI and software landscape

• Partner with leadership on high-impact strategic questions across product, growth, and capital allocation
• Analyse unit economics, pricing models, and scaling dynamics
• Support major initiatives including fundraising, partnerships, M&A and IPO

• Translate financial models into structured logic that can be automated
• Work with finance data and automation engineers to embed models into real-time finance systems

• 4-5+ years in top-tier investment banking (preferably technology), strategic finance, or high-growth tech
• Exceptional financial modelling skills (three-statement models, SaaS metrics, scenario analysis)
• Exposure to capital markets experience
• Outstanding PowerPoint and storytelling ability — able to turn complex analysis into clear strategic narratives
• Strong strategic perspective on the technology and software landscape
• Structured thinker comfortable working on ambiguous, high-impact strategic questions
• Interest in AI tools, automation, and modern finance systems