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TECH LEAD DATA

1-2 JOUR DE TÉLÉTRAVAIL

A PARTIR DE 60K€ FIXES

Talend – Snowflake – AWS

L’ENTREPRISE

C’est une entreprise reconnue dans le secteur automobile depuis plusieurs années. Implantée sur plusieurs marchés, elle mise sur son expertise et son dynamisme pour accompagner ses clients.

LES MISSIONS

En collaboration avec le Directeur Data, vous rejoindrez une équipe de 10 personnes, vous serez en charge de la modernisation de la stack technique actuelle (reprendre l’existant et l’améliorer). Vos missions seront les suivantes :

• S’approprier l’ensemble des pipelines existantes et les rendre plus robustes en proposant une nouvelle architecture data
• Mettre en place des systèmes de monitoring
• Prendre en charge l’équipe data et s’assurer qu’ils sont orientés data et delivery
• Participer et piloter les projets de migration
• Industrialiser des modèles d’IA et être force de proposition
• S’assurer de la mise en oeuvre des bonnes pratiques de traitement et sécurisation de de donnée
• Accompagner un profil plus junior (management direct) et l’aider à monter en compétences

VOTRE PROFIL

• Bac+5 au sein d’une école d’ingénieur ou université en data engineering ou gestion d’infrastructure
• Minimum 5 ans d’expérience sur un rôle similaire, sur des projets d’architectures data et management d’équipe transverse
• Solide expertise sur un outil d’ETL (Talend) et de Data Warehouse (Snowflake)
• La connaissance d’un cloud public est requise
• Compétences en MLops fortement appréciées
• Niveau d’anglais B1

POUR POSTULER

Merci de me faire part de votre CV et je vous recontacterai au plus vite.

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Director of Data Engineering

Location: San Francisco or New York (Hybrid)

Compensation: $300-350K base + Equity

A $3B+ Series E SaaS company at the forefront of AI-powered enterprise transformation is looking for a Director of Data Engineering to scale its Data Platform and Analytics Engineering functions. This is a rare opportunity to lead the next phase of data infrastructure, powering everything from LLM-based product experiences to executive analytics and real-time experimentation.

What You’ll Lead:

• Data Platform Strategy: Define the roadmap for scalable, cloud-native infrastructure-streaming, compute, and storage-including technologies like Apache Iceberg, Kafka, and Snowflake.
• Team & Technical Leadership: Grow and mentor a high-performing data engineering team (2 → 10+), setting engineering standards and fostering technical excellence.
• Cross-Functional Collaboration: Partner with ML, Security, Legal, and Product teams to enable AI/ML platforms, telemetry pipelines, and governance at scale.
• Systems at Scale: Architect robust, real-time pipelines and petabyte-scale infrastructure with streaming pre-aggregations, observability, and cost efficiency.
• Operational Maturity: Drive platform reliability and compliance-readiness as the company prepares for IPO-implementing best practices in governance, testing, and infrastructure as code.

What We’re Looking For

• 10+ years in data engineering, with 5+ years of engineering leadership
• Deep experience scaling data platforms in high-growth SaaS, infrastructure or AI-first environments
• Expert in Kafka, Apache Iceberg, Snowflake, dbt, and cloud infrastructure (AWS or GCP)
• Proven success supporting ML/AI platforms and structured/unstructured data needs
• Strong track record of partnering with legal and compliance to build IPO-ready systems
• A collaborative, technical leader who thrives in fast-paced, high-impact settings

Why This Role

• Lead the data engineering charter at one of the most innovative companies in enterprise AI
• Own systems that power product analytics, experimentation, personalization, and LLM workloads
• Work side-by-side with the C-suite and play a pivotal role in company-scale transformation

To Apply for this Job Click Here

To Apply for this Job Click Here

Director of Data Engineering

Location: San Francisco or New York (Hybrid)

Compensation: $300-350K base + Equity

A $3B+ Series E SaaS company at the forefront of AI-powered enterprise transformation is looking for a Director of Data Engineering to scale its Data Platform and Analytics Engineering functions. This is a rare opportunity to lead the next phase of data infrastructure, powering everything from LLM-based product experiences to executive analytics and real-time experimentation.

What You’ll Lead:

• Data Platform Strategy: Define the roadmap for scalable, cloud-native infrastructure-streaming, compute, and storage-including technologies like Apache Iceberg, Kafka, and Snowflake.
• Team & Technical Leadership: Grow and mentor a high-performing data engineering team (2 → 10+), setting engineering standards and fostering technical excellence.
• Cross-Functional Collaboration: Partner with ML, Security, Legal, and Product teams to enable AI/ML platforms, telemetry pipelines, and governance at scale.
• Systems at Scale: Architect robust, real-time pipelines and petabyte-scale infrastructure with streaming pre-aggregations, observability, and cost efficiency.
• Operational Maturity: Drive platform reliability and compliance-readiness as the company prepares for IPO-implementing best practices in governance, testing, and infrastructure as code.

What We’re Looking For

• 10+ years in data engineering, with 5+ years of engineering leadership
• Deep experience scaling data platforms in high-growth SaaS, infrastructure or AI-first environments
• Expert in Kafka, Apache Iceberg, Snowflake, dbt, and cloud infrastructure (AWS or GCP)
• Proven success supporting ML/AI platforms and structured/unstructured data needs
• Strong track record of partnering with legal and compliance to build IPO-ready systems
• A collaborative, technical leader who thrives in fast-paced, high-impact settings

Why This Role

• Lead the data engineering charter at one of the most innovative companies in enterprise AI
• Own systems that power product analytics, experimentation, personalization, and LLM workloads
• Work side-by-side with the C-suite and play a pivotal role in company-scale transformation

To Apply for this Job Click Here

To Apply for this Job Click Here

Lead Data Scientist – Personalization & Recommendation Engines

Location: SF Bay Area – Hybrid (3 days/week onsite)

Salary: $200-260k base + Equity

A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Staff Machine Learning Scientist to drive innovation across personalization, feed ranking, computer vision, and GenAI. You’ll work on high-impact ML solutions that directly shape user experience and business outcomes at massive scale.

What You’ll Do

• Lead full-lifecycle ML projects from idea to production across core areas like personalization, trust & safety, marketing optimization, and user engagement.
• Own the ML development process-from data exploration and feature engineering to model training, deployment, and post-launch optimization.
• Collaborate cross-functionally with ML engineers, PMs, and business stakeholders to identify and prioritize high-leverage initiatives.
• Experiment with emerging AI techniques, including GenAI, Computer Vision, and LLMs, to push the boundaries of what’s possible on the platform.
• Build scalable, production-ready ML systems that enhance key metrics like retention, engagement, and conversion.

What You Bring

• 7-10 years of experience building, deploying, and maintaining ML models at scale.
• Deep expertise in Python, SQL, Spark (PySpark or Scala) and frameworks like PyTorch or TensorFlow.
• Proven track record in consumer tech or large-scale marketplaces companies.
• Hands-on experience with CNNs, Transformers, Vision Transformers, and personalization algorithms.
• Background in user behavior modeling, search relevance, or real-time data systems.
• Strong foundation in experimentation (A/B testing), statistics, and applied ML.
• Exceptional communication skills and the ability to translate technical insights into business value.
• Experience with LLMs, RAG (Retrieval-Augmented Generation), or PEFT (Parameter-Efficient Fine-Tuning) techniques.

To Apply for this Job Click Here

To Apply for this Job Click Here

Staff Machine Learning Scientist

Location: SF Bay Area – Hybrid (3 days/week onsite)

Salary: $200-260k base + Equity

A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Staff Machine Learning Scientist to drive innovation across personalization, feed ranking, computer vision, and GenAI. You’ll work on high-impact ML solutions that directly shape user experience and business outcomes at massive scale.

What You’ll Do

• Lead full-lifecycle ML projects from idea to production across core areas like personalization, trust & safety, marketing optimization, and user engagement.
• Own the ML development process-from data exploration and feature engineering to model training, deployment, and post-launch optimization.
• Collaborate cross-functionally with ML engineers, PMs, and business stakeholders to identify and prioritize high-leverage initiatives.
• Experiment with emerging AI techniques, including GenAI, computer vision, and LLMs, to push the boundaries of what’s possible on the platform.
• Build scalable, production-ready ML systems that enhance key metrics like retention, engagement, and conversion.

What You Bring

• 7-10 years of experience building, deploying, and maintaining ML models at scale.
• Deep expertise in Python, SQL, Spark (PySpark or Scala) and frameworks like PyTorch or TensorFlow.
• Proven track record in consumer tech or large-scale marketplaces companies.
• Hands-on experience with CNNs, Transformers, Vision Transformers, and personalization algorithms.
• Background in user behavior modeling, search relevance, or real-time data systems.
• Strong foundation in experimentation (A/B testing), statistics, and applied ML.
• Exceptional communication skills and the ability to translate technical insights into business value.

• Experience with LLMs, RAG (Retrieval-Augmented Generation), or PEFT (Parameter-Efficient Fine-Tuning) techniques.

To Apply for this Job Click Here

To Apply for this Job Click Here

Staff Growth Product Analyst

US Remote

$200-240k base + equity

About the Role:

We’re looking for a Staff Growth Product Analyst to drive impactful growth analytics for an innovative AI-driven development platform that’s transforming how developers create and deploy user interfaces. Leveraging cutting-edge AI technologies, this platform enables rapid prototyping and significantly accelerates product development, enhancing user growth, engagement, and overall developer experience.

Role Highlights:

• Deep dive into user behaviors, journeys, and growth funnels to uncover opportunities for enhanced engagement and acquisition.
• Generate actionable insights aimed at boosting critical growth metrics like DAU, MAU, and user retention.
• Design, execute, and analyze A/B tests to drive informed decision-making and product improvements.
• Influence strategic decision-making through rigorous data analysis and compelling recommendations.
• Collaborate cross-functionally with product managers, engineers, data scientists, and growth marketers to drive continuous product improvement and iteration.

Who You Are:

• You have 7+ years of proven expertise in growth and product analytics, ideally within early-stage or innovation-driven product environments.
• You’re adept at conducting thorough funnel analyses, spotting rapid experimentation opportunities, and recommending actionable product enhancements.
• You thrive on solving complex analytical problems with high energy and intellectual rigor.
• Experienced with modern data stack (e.g., Snowflake, dbt, Preset, Hashboard, Kafka, Fivetran, Omni, Hex, Sigma, SQL, Python).
• You have previous experience (or a strong interest) in working with AI or machine learning-driven products.

Ideal Fit: You’re a driven, collaborative analytics expert passionate about influencing groundbreaking products. Excited by high-paced, innovative environments, you’re motivated by measurable impact and shaping the future of developer-focused, AI-powered technologies.

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Senior Manager of Marketing & Product Analytics

Location: San Francisco (Hybrid)

Salary: $260-300k base + Equity

Join one of the fastest-growing AI companies in the world-a $3B+ Series E SaaS leader transforming enterprise operations through intelligent automation. We’re looking for a Senior Manager of Analytics to own and scale a high-impact, cross-functional analytics team spanning Product, Marketing, and Finance.

This is a rare opportunity to lead at the intersection of business strategy and data, partnering with executive leadership to drive growth, optimize performance, and turn insights into action across the organization.

What You’ll Do

• Lead Analytics Across Marketing and Product: Own the roadmap, reporting, and insights across Marketing and Product teams-guiding campaign strategy, customer segmentation, feature development, and monetization.
• Optimize the Customer Journey: Deliver full-funnel analytics across paid media, organic channels, website behavior, and in-product engagement. Identify friction points and accelerate activation, conversion, and retention.
• Enable Experimentation and A/B Testing: Partner with Growth and Product leaders to design and analyze high-velocity experiments across the marketing funnel and product experience.
• Build Scalable Data Systems: Lead the design of metrics frameworks, dashboards, and experimentation infrastructure to deliver self-serve analytics and real-time visibility.
• Drive Stakeholder Alignment: Translate complex data into clear, actionable insights for executive stakeholders. Influence marketing strategy, product roadmap, and resource allocation with data-backed recommendations.

What We’re Looking For

• 10+ years of experience in analytics roles with a strong focus on Marketing, Growth, and Product Analytics-ideally within high-growth SaaS or AI-first companies.
• 4+ years of people leadership experience, with a track record of building, mentoring, and scaling high-performing analytics teams.
• Deep technical fluency in SQL, with hands-on experience using modern analytics stacks (e.g., Snowflake, dbt, Fivetran, Hex, Sigma, Looker, Hashboard).
• Strong proficiency in Python or R, with expertise in statistical analysis, experimentation, and causal inference.
• Extensive experience in channel performance analysis, LTV/CAC modeling, attribution, and funnel optimization.
• Strong communicator with a strategic mindset-comfortable working cross-functionally and presenting to C-level audiences.
• Passion for working in fast-paced environments and building clarity in ambiguity through data.

Why Join

• Shape the future of marketing and product strategy at one of the world’s fastest-growing AI companies.
• Join a company where data is core to every decision-with direct access to executives and meaningful ownership of high-impact initiatives.
• Competitive base, strong equity package, and a mission-driven culture focused on outcomes and innovation.

To Apply for this Job Click Here

To Apply for this Job Click Here

Staff Marketing Analyst

Location: San Francisco (Hybrid)

Salary: $200,000-$250,000 Base + Bonus + Equity

Join a high-growth SaaS innovator backed by top-tier investors as they scale their Marketing Analytics capabilities to power the next phase of growth. This Staff Marketing Analyst position sits at the intersection of data, marketing, and business strategy-delivering the insights that drive pipeline, accelerate conversion, and optimize customer acquisition across all go-to-market motions.

THE ROLE

As a Staff Marketing Analyst, you’ll own the strategy, architecture, and execution of marketing analytics. You’ll partner closely with Growth, Demand Gen, Digital, and Product Marketing teams to define KPIs, analyze performance, and bring visibility to what’s working and what’s not. Your work will influence campaign spend, GTM roadmap, and executive decision-making.

Key Responsibilities:

• Define and evolve core marketing metrics across the funnel: acquisition, pipeline velocity, ROI, CAC, and attribution.
• Deliver clear, actionable insights through in-depth analysis of cross-channel campaigns (digital, paid, content, lifecycle).
• Build scalable dashboards and automated reporting to support real-time visibility for GTM leaders.
• Partner with RevOps and Sales Analytics to align marketing efforts with revenue impact and customer segmentation.
• Identify optimization opportunities through experimentation frameworks, A/B testing, and customer behavior modeling.
• Develop and maintain clean, well-modeled marketing data sets for long-term scalability and growth analysis.

ABOUT YOU

Required:

• 7+ years of experience in analytics, with a strong track record in Marketing or GTM Analytics at a SaaS or high-growth tech company.
• Advanced SQL skills and deep experience with BI tools like Looker, Mode, or Hashboard. Experience with Python or R a plus.
• Strong understanding of modern SaaS marketing channels and KPIs (e.g. MQL, SQL, pipeline contribution, CAC, LTV).
• Strategic thinker with the ability to translate complex data into simple insights and present them to cross-functional stakeholders.
• Comfortable operating independently in a fast-paced, collaborative environment where priorities evolve quickly.

WHAT’S ON OFFER

• High-impact, high-visibility role with ownership across the full marketing analytics stack.
• Competitive compensation and equity at a top-performing AI-driven SaaS brand.
• Opportunity to shape analytics foundations and influence GTM strategy at scale.
• Collaborative culture, modern tech stack, and hybrid flexibility in SF.

To Apply for this Job Click Here

To Apply for this Job Click Here

Staff Marketing Analyst

Location: New York (Hybrid)

Salary: $200,000-$250,000 Base + Bonus + Equity

Join a high-growth SaaS innovator backed by top-tier investors as they scale their Marketing Analytics capabilities to power the next phase of growth. This Staff Marketing Analyst position sits at the intersection of data, marketing, and business strategy-delivering the insights that drive pipeline, accelerate conversion, and optimize customer acquisition across all go-to-market motions.

THE ROLE

As a Staff Marketing Analyst, you’ll own the strategy, architecture, and execution of marketing analytics. You’ll partner closely with Growth, Demand Gen, Digital, and Product Marketing teams to define KPIs, analyze performance, and bring visibility to what’s working and what’s not. Your work will influence campaign spend, GTM roadmap, and executive decision-making.

Key Responsibilities:

• Define and evolve core marketing metrics across the funnel: acquisition, pipeline velocity, ROI, CAC, and attribution.
• Deliver clear, actionable insights through in-depth analysis of cross-channel campaigns (digital, paid, content, lifecycle).
• Build scalable dashboards and automated reporting to support real-time visibility for GTM leaders.
• Partner with RevOps and Sales Analytics to align marketing efforts with revenue impact and customer segmentation.
• Identify optimization opportunities through experimentation frameworks, A/B testing, and customer behavior modeling.
• Develop and maintain clean, well-modeled marketing data sets for long-term scalability and growth analysis.

ABOUT YOU

Required:

• 7+ years of experience in analytics, with a strong track record in Marketing or GTM Analytics at a SaaS or high-growth tech company.
• Advanced SQL skills and deep experience with BI tools like Looker, Mode, or Hashboard. Experience with Python or R a plus.
• Strong understanding of modern SaaS marketing channels and KPIs (e.g. MQL, SQL, pipeline contribution, CAC, LTV).
• Strategic thinker with the ability to translate complex data into simple insights and present them to cross-functional stakeholders.
• Comfortable operating independently in a fast-paced, collaborative environment where priorities evolve quickly.

WHAT’S ON OFFER

• High-impact, high-visibility role with ownership across the full marketing analytics stack.
• Competitive compensation and equity at a top-performing AI-driven SaaS brand.
• Opportunity to shape analytics foundations and influence GTM strategy at scale.
• Collaborative culture, modern tech stack, and hybrid flexibility in NYC.

To Apply for this Job Click Here

To Apply for this Job Click Here

Job Title: Director of Data Science – Biopharma Commercial Analytics
Location: Hybrid – San Francisco Bay Area
Salary: $250-300k base + bonus + equity

Drive the Commercial Data Science Strategy for a High-Growth Digital Health Innovator

Join a mission-driven health tech company redefining how the biopharma industry uses data to drive access, adherence, and market success. This is a unique opportunity to lead the data science function at a fast-scaling, venture-backed startup and shape the next generation of commercial analytics tools and ML-powered insights.

The Role

As Director of Data Science, you’ll lead a team of Data Scientists and Analytical Data Engineers responsible for delivering impactful analytics and machine learning solutions across the commercial lifecycle. You’ll operate as a strategic partner across Product, Customer Experience, and Go-to-Market teams, influencing everything from AI product features to patient access strategies.

Key Responsibilities:

• Build, mentor, and scale a high-performing data science team with a focus on commercialization in the biopharma space
• Lead the development of predictive models and ML algorithms to solve problems in Market Access, Patient Services, and Field Force Optimization
• Own the architecture, data models, and pipelines supporting scalable advanced analytics in a multi-tenant SaaS environment
• Partner with Product and Commercial leaders to translate client needs into intelligent analytics tools and embedded insights
• Present findings and influence decisions at the VP and executive level, internally and with client stakeholders
• Ensure code quality, security, and compliance across deployed models and analytics products
• Monitor trends in commercial analytics, generative AI, and regulatory standards to drive innovation

Your Background

Required Experience:

• 7+ years in biopharma or life sciences commercial analytics, including direct experience in Market Access, Commercial Ops, or Patient Services
• Advanced expertise in machine learning techniques (e.g., regression, classification, forecasting, NLP, A/B testing) applied to real-world commercial use cases
• Proficient in Python and SQL; experience with Snowflake, dbt, and Snowpark highly valued
• Strong understanding of data sets common to biopharma (specialty pharmacy, claims, HCP targeting, CRM, etc.)
• 3+ years managing and scaling high-impact Data Science teams in high-growth or enterprise health tech environments
• Proven record of driving measurable business outcomes through ML/AI-powered solutions
• Excellent cross-functional communication skills; ability to bridge technical depth with commercial strategy
• M.S. or Ph.D. in a quantitative discipline (e.g., Data Science, Engineering, Statistics, Computer Science)

Preferred Qualifications:

• Familiarity with HIPAA, SOC2, HITRUST, or other healthcare regulatory frameworks
• Experience working in AWS-based cloud environments
• Exposure to LLMs, agentic AI frameworks, or AI-enhanced product features
• Background in specialty data integration (e.g., hub services, reimbursement workflows)

What’s On Offer

• Executive-level role shaping the analytics vision for a fast-scaling digital health company
• Competitive compensation, performance bonus, and equity in a high-growth startup
• High-impact work that directly improves patient outcomes and access
• Collaborative and mission-driven culture at the intersection of healthcare and AI
• Opportunity to influence product strategy and drive adoption of next-generation commercial analytics tools

To Apply for this Job Click Here

To Apply for this Job Click Here

Staff Product Analyst

Location: San Francisco (Remote Eligible)

Salary: $200K-$240K base + Equity

We’re hiring a Staff Product Analyst for a hyper-growth, Series E AI company valued at $3B+. This is an opportunity to play a key role in shaping product strategy and growth by leveraging data to drive decisions, optimize user experiences, and unlock new opportunities.

What You’ll Do:

• Shape product strategy with data-driven insights – Define key metrics, track user behavior, and identify trends that impact engagement and retention.
• Deep-dive into user journeys – Uncover friction points and growth levers to enhance adoption, conversion, and retention.
• Optimize experimentation and A/B testing – Design and analyze tests to improve product features, pricing, and personalization strategies.
• Develop self-service analytics tools – Build dashboards and automated reporting to empower teams with real-time data.
• Partner with Product, Engineering & Leadership – Translate complex data into clear, actionable recommendations to improve product performance and business outcomes.

What We’re Looking For:

• 7+ years of experience in Product Analytics, preferably within high-growth tech companies.
• Expert SQL skills and experience working with large-scale product datasets.
• Proficiency in Python or R, with a strong foundation in statistical analysis and experimentation.
• Hands-on experience with A/B testing methodologies and user segmentation.
• Experience with ELT data modeling and BI tools like Looker, Omni, or Hashboard.
• Strong executive communication skills, with the ability to influence product decisions through data.
• Thrives in a fast-paced, high-impact environment, with a passion for uncovering insights that drive product growth.

To Apply for this Job Click Here

To Apply for this Job Click Here

Staff Data Analyst – GTM

Location: Remote
Salary: $200-250k

This fast-growing, Series C cloud platform company is at the forefront of technological innovation, delivering cutting-edge solutions that drive industry transformation. The organization is seeking a highly skilled Staff Data Analyst to lead Go-to-Market (GTM) analytics efforts, enabling strategic growth and turning complex datasets into actionable insights to optimize GTM performance and operational efficiency.

About the Role

This position is central to defining and implementing data strategies that empower GTM teams. By developing metrics, automating reporting, and delivering insightful analyses, the Staff Data Analyst will play a critical role in optimizing growth strategies and ensuring data-driven decision-making.

Key Responsibilities

• Define and implement key GTM metrics to evaluate performance and uncover growth opportunities.
• Conduct in-depth analysis of complex datasets to deliver actionable GTM insights.
• Collaborate with cross-functional teams to identify root causes, refine processes, and inform strategic initiatives.
• Automate reporting workflows and create interactive dashboards to support leadership decision-making.
• Build and enhance datasets for growth optimization and cost reduction initiatives.
• Develop data accessibility solutions, ensuring timely and structured access to insights for all stakeholders.
• Shape the GTM analytics roadmap, aligning data projects with broader organizational goals.

About You

• 6+ years in analytics roles, with expertise in SaaS and product-led growth (PLG) business models.
• Advanced proficiency in SQL and experience with tools such as Looker, Hashboard, or Omni. Familiarity with Python or R and statistical modeling.
• Demonstrated ability to interpret trends, conduct root cause analysis, and deliver data-driven recommendations that influence strategy.
• Strong ability to present complex findings clearly to both technical and non-technical audiences.
• Proven success working in fast-paced, cross-functional environments to drive high-impact outcomes.

This is a unique opportunity to join a dynamic, data-driven organization and make a significant impact on the success of its GTM strategy. If you’re passionate about using data to drive innovation and thrive in a high-growth environment, this role is for you!

To Apply for this Job Click Here