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TECH LEAD DATA

HYBRIDE – UP TO 80K€ FIXES

Talend – Snowflake – AWS

L’ENTREPRISE

C’est une entreprise reconnue dans le secteur automobile depuis plusieurs années. Elle intervient principalement dans la distribution et les services liés aux véhicules. 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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SOFTWARE MANAGER
AIX-EN-PROVENCE (13)
60-90K€ EN PACKAGE

En tant qu’Engineering Manager au sein d’un client final, vous aurez la responsabilité de piloter une équipe technique en charge de la conception, du développement et du maintien d’applications critiques dans le secteur du transport.

VOTRE ROLE

• Vous jouerez un rôle clé dans la mise en place et l’amélioration des bonnes pratiques d’ingénierie logicielle, notamment sur les processus CI/CD, la sécurité applicative, la robustesse et la scalabilité des systèmes.
• Vous contribuerez activement à la migration des infrastructures vers le cloud (principalement Google Cloud), en garantissant la qualité et la fiabilité des déploiements via des outils modernes comme Jenkins, Terraform, Docker, et bientôt GitLab ou GitHub Actions.
• Votre management sera équilibré entre un rôle hands-on et une fonction d’encadrement d’équipe, avec une équipe actuellement composée de 4 personnes et appelée à s’agrandir.
• Vous participerez aussi aux choix techniques et à la définition de l’architecture logicielle, tout en accompagnant vos collaborateurs dans leur montée en compétences.
• Enfin, vous travaillerez en étroite collaboration avec les équipes produit et data pour assurer la bonne intégration et orchestration des flux de données critiques issus de fournisseurs transport via des APIs.

VOTRE PROFIL

• Minimum 5 ans d’expérience en management d’équipe technique.
• 5 à 7 ans d’expérience en développement logiciel.
• Maîtrise des bonnes pratiques CI/CD (Jenkins, Docker, Terraform). Une expérience avec GitLab ou GitHub Actions est un plus.
• Expertise dans la sécurité applicative, la robustesse et la scalabilité des applications.
• Expérience en migration cloud, idéalement Google Cloud Platform (GCP), AWS ou autres providers.
• Très bonne connaissance des langages Java (versions 11 à 17), Go, Node.js, PHP.
• Expérience en intégration et orchestration d’APIs, avec des notions d’architecture stateless et circuit breaker.
• Capacité à manager une équipe de 4-5 personnes en mode mixte hands-on/management.
• Savoir accompagner et motiver les équipes avec une communication claire et directe.
• Posture professionnelle, aisance relationnelle, et esprit collaboratif.
• Capacité à s’intégrer rapidement dans une équipe et à travailler efficacement avec des interlocuteurs techniques et métiers.

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Senior Manager, Data & Analytics – DTC

Location: US Remote Eligible (travel required)

Salary:$180-220K base + bonus + equity

The Opportunity

A high-growth, vertically integrated DTC brand is hiring its first Senior Manager of Data & Analytics to architect and lead the company’s data strategy from the ground up. Following a period of explosive, triple-digit revenue growth and with full control over manufacturing, fulfillment, and customer experience, the company is now ready to make data a foundational pillar of scale.

Reporting directly to the CEO, you’ll step into a pivotal, hands-on leadership role-owning everything from data architecture and infrastructure to analytics strategy, roadmap execution, and team development. You’ll build the systems and insights that power smarter decisions across marketing, supply chain, logistics, and digital experience.

This is a rare opportunity to take a blank slate and build a high-impact data function with executive backing, tangible influence, and end-to-end ownership.

What You’ll Do

• Own and execute the data vision: Evaluate the current state, define the roadmap, and implement scalable data infrastructure (Postgres, dbt, Fivetran, Omni).
• Lead from the front: Operate as a player-coach-balancing individual technical contribution with people leadership and cross-functional influence.
• Build and scale a high-impact team: Recruit and mentor data engineers, analysts, and data scientists as the function grows from 1-2 to 6-8 over time.
• Drive actionable insights: Deliver dashboards, models, and analytics that unlock better outcomes across the customer lifecycle, supply chain, and financial ops.
• Set the bar for excellence: Establish best practices in KPI design, instrumentation, experimentation, data governance, and measurement strategy.
• Collaborate cross-functionally: Partner with senior leaders across Product, Marketing, Ops, and Engineering to ensure data becomes a competitive edge.

Use Cases You’ll Own

• Multi-touch attribution, CAC optimization, and customer segmentation
• LTV and churn modeling for better retention and personalization
• Demand forecasting to optimize production and reduce inventory risk
• Factory analytics to track throughput, cycle times, and downtime
• Logistics and fulfillment insights to improve delivery efficiency
• Customer journey analysis to enhance conversion and engagement
• Product feedback loops using return rates, support tickets, and reviews

What We’re Looking For

• 7-10+ years of experience in data, analytics, or BI roles, with a track record of leadership-preferably in high-growth DTC, ecommerce, or consumer product environments.
• Proven success building a data function from the ground up-including architecture, tooling, team structure, and process implementation.
• Strong technical proficiency in SQL and Python, with a hands-on ability to build pipelines, deliver insights, and support scalable analytics solutions.
• Fluency with the modern data stack, including platforms such as dbt, Fivetran, Omni, or comparable tools.
• Thrives in fast-moving, ambiguous settings, with a bias for action and comfort making decisions without perfect information.
• Demonstrated leadership and mentorship experience, including hiring, coaching, and managing performance for technical talent.
• Willingness to travel regularly to the company’s HQ during onboarding (first 4-6 months) and periodically thereafter as needed.

Why This Role

• Greenfield Ownership: Build the function the right way-from tools and models to team and roadmap.
• Executive Visibility: Direct line to the CEO and meaningful influence on company direction.
• High-Growth Environment: Be part of a company scaling fast with clear demand for data maturity.
• Purpose-Driven Culture: Join a team passionate about product, performance, and customer happiness.

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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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CHEF DE PROJET DATA
POITOU-CHARENTES (86)
45-55K€

En tant que Chef de Projet Data, vous serez le point de contact principal entre les métiers et l’équipe data.

VOTRE RÔLE

• Vous piloterez des projets d’intégration de données de bout en bout : de la définition du besoin métier jusqu’au suivi du delivery.
• Vous participerez également à la structuration de la gouvernance data, à l’amélioration de la qualité des données, et à l’identification de nouveaux cas d’usage (BI, Data Science…).

VOTRE PROFIL

• Minimum 5 ans d’expérience en gestion de projets, idéalement dans un contexte data ou IT.
• Bonne compréhension des concepts ETL/ELT, des bases de données et de la visualisation de données (SQL, Power BI, Qlik…).
• Capacité à dialoguer à la fois avec des profils techniques et des utilisateurs métiers.
• Sens de l’organisation, de la pédagogie, et appétence pour les environnements en construction.
• Formation Bac+5 en informatique, data, systèmes d’information ou équivalent.

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LEAD DATA SCIENCE & IA
POITOU-CHARENTES (86)
65-85K€

En tant que Lead Data Science & IA, vous serez responsable de la conception, du déploiement et de l’industrialisation des projets IA au sein du groupe. Ce poste stratégique allie expertise technique, chefferie de projet, et acculturation des métiers à la data science.
Vous évoluerez dans un environnement agile, en pleine construction, avec une grande liberté d’action et un fort impact business.

VOTRE RÔLE

• Développer et déployer des modèles ML/IA sur des cas d’usage métier (prévision, scoring, optimisation…)
• Assurer la maintenance évolutive et l’amélioration continue des modèles
• Piloter l’industrialisation progressive (MLOps, containerisation, monitoring…)
• Cadrer et gérer les projets de A à Z : recueil de besoins, échanges métier, restitution
• Vulgariser les résultats et accompagner l’acculturation IA en interne
• Participer au recrutement et à la structuration de l’équipe Data Science

VOTRE PROFIL

• Minimum 5 ans d’expérience (possibilité d’ouvrir à 2-3 ans pour des profils très solides issus de grandes écoles type ENSAE, Télécom, Polytechnique, ENSAI)
• Solide formation en mathématiques appliquées / statistiques / machine learning
• Maîtrise avancée de Python, Docker, et des environnements Cloud (AWS ou autre)
• Expérience concrète en mise en production de modèles IA et pratique de MLOps
• Capacité à gérer un projet de bout en bout et à vulgariser les résultats auprès de publics non techniques
• Esprit structurant, terrain, et posture de leader technique
• Bon niveau de français et anglais

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RESPONSABLE DE L’ARCHITECTURE DATA
POITOU-CHARENTES (86)
65-85K€

En tant que Responsable de l’achitecture data, vous incarnerez le socle technique de l’équipe Data Engineering au sein de ce client final. Vous serez responsable de piloter, challenger et faire évoluer une architecture déjà robuste, tout en accompagnant la mise en production de projets à forte valeur ajoutée.

VOTRE RÔLE

• Auditer et renforcer la stack existante (Snowflake, Talend, DBT, Power BI, Qlik, AWS) avec une vision orientée ROI.
• Cartographier et fiabiliser les pipelines existants, tout en préparant une migration vers des outils ELT modernes (ex. DBT).
• Mettre en place et configurer une solution de monitoring des flux via SIFLET.
• Piloter l’industrialisation des projets IA / MLOps, en lien avec les équipes Data Science et les prestataires externes.
• Accompagner et coordonner l’équipe Data Engineering (1 junior + 4 prestataires) avec un vrai leadership technique, sans dimension managériale directe.

VOTRE PROFIL

• 7 à 10 ans d’expérience en Data Engineering / Architecture Data (flexible à partir de 5 ans pour un profil exceptionnel).
• Maîtrise de Snowflake, AWS (ou autre cloud), CI/CD, et connaissance d’outils ELT (DBT, Talend…).
• Expérience dans l’industrialisation de modèles IA ou une bonne maîtrise des pratiques MLOps.
• Capacité à challenger des choix technologiques, construire une vision et embarquer une équipe transverse.
• Leadership technique, capacité à travailler avec des prestataires, sans responsabilité managériale formelle.
• Langues : français courant et anglais professionnel requis.

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Senior Technical Project Manager – Analytics
New York, NY – Hybrid – 3 days in office
$130,000 – $150,000

A mission-driven organization is seeking a Technical Project Manager to lead the delivery of enterprise-scale data initiatives. This is an opportunity to join a forward-thinking technology team that plays a key role in advancing operational and strategic outcomes across the business.

The Role
You will oversee end-to-end delivery of technical projects, acting as the link between data engineering, analytics, and business stakeholders. From project intake and sprint planning to risk management and stakeholder communication, you’ll be responsible for ensuring clarity, momentum, and successful execution.

Key Responsibilities

• Manage the intake and prioritization of data and analytics initiatives

• Define project scope, budgets, timelines, and deliverables

• Lead agile processes including sprint planning and backlog management

• Use tools like Jira, Asana, and Confluence to track progress and coordinate teams

• Communicate project status, risks, and outcomes to senior stakeholders

• Ensure alignment with data architecture and governance standards

Skills and Experience

• 5+ years in project management, ideally within data or analytics teams

• Bachelor’s degree in Computer Science, Information Systems, or related field

• Proven experience delivering projects in Agile or Scrum environments

• Working knowledge of SQL, cloud platforms (AWS, Azure), and BI tools

• Proficiency with project management platforms (Jira, Trello, Confluence)

• PMP or Scrum Master certification preferred

• Strong interpersonal and stakeholder management skills

This role is ideal for a delivery-focused project manager with a strong technical foundation and the ability to drive cross-functional alignment in a complex, fast-moving environment.

To discuss this opportunity further reach out to Sam Willman, or apply directly via the link

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Job Title: Generative AI Specialist (Finance Sector – Prompt Engineering)

Location: Amsterdam

Employment Type: Full-time

Department: AI & Innovation – Financial Services

About Us

They are a leading financial institution at the forefront of AI-driven innovation, reshaping how data and technology power decision-making in capital markets, banking, and financial services. The AI team is driving the integration of generative AI and large language models into core business functions-from risk analysis to client interaction. We’re now seeking a Generative AI Specialist with a strong background in prompt engineering to join our growing team.

Role Overview

As a Generative AI Specialist, you will design, develop, and optimize prompt engineering strategies for large language models (LLMs) and other generative tools to automate and enhance financial services workflows. Your work will directly influence trading strategies, reporting automation, regulatory compliance, and client engagement through cutting-edge AI solutions.

Key Responsibilities

• Design and refine prompts for LLMs (e.g., GPT-4, Claude, Mistral) to deliver high-accuracy outputs for financial tasks (e.g., risk summaries, investment analysis, regulatory reports).
• Collaborate with quant teams, data scientists, and engineers to deploy generative AI across front-office, middle-office, and back-office functions.
• Build prompt libraries and reusable AI components that ensure consistency, security, and performance.
• Perform prompt evaluations, A/B testing, and iterative tuning to improve reliability and reduce hallucination risks.
• Stay current with the latest generative AI research and its applications to financial modeling, compliance, and customer engagement.
• Contribute to the development of AI policy, governance, and ethical frameworks in line with regulatory standards (e.g., FINRA, FCA, SEC).

What They’re Looking For

• Proven experience with prompt engineering and working with foundation models (GPT-3.5/4, Claude, LLaMA, etc.).
• Solid understanding of financial markets, instruments, and regulatory frameworks.
• Strong Python skills, including experience with AI/ML libraries (LangChain, OpenAI API, Hugging Face, etc.).
• Ability to translate business needs into technical AI applications and prompt strategies.
• Excellent analytical, problem-solving, and communication skills.
• Familiarity with data privacy, model interpretability, and AI governance is a plus.
• Dutch speaking.

Preferred Qualifications

• Degree in Computer Science, Finance, Data Science, or a related field.
• 1+ years of experience working in finance, fintech, or enterprise AI environments.
• Experience integrating LLMs into enterprise platforms or workflows (e.g., through APIs, plugins, internal tools).

Why Join?

• Be part of a pioneering AI team inside one of the world’s most respected financial institutions.
• Work on high-impact, real-world applications of generative AI in a heavily data-driven domain.
• Competitive compensation and benefits, with opportunities for career growth and leadership.
• Access to state-of-the-art tools, infrastructure, and professional development in a supportive, innovative culture.

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The Company
A well-established digital platform with over a million active users across the UK, offering technology-led subscription services in a fast-scaling consumer market. Known for its innovation in healthcare and eCommerce, the business has seen rapid growth in recent years and is continuing to expand its analytics capabilities. The Customer Insight Analyst will play a key role in shaping customer and marketing strategies by translating behavioural data into commercial insight.

The Role
This is a hands-on role focusing on customer analytics, segmentation, and marketing performance. You’ll be responsible for building dashboards, analysing behavioural trends, and guiding strategic decisions across acquisition, retention, and customer lifetime value. The role suits an analyst who’s confident with SQL, data visualisation tools like Tableau, and who can bridge the gap between data and non-technical stakeholders.

Key Responsibilities

• Deliver insight to support acquisition, retention, and growth strategies

• Build and maintain a scalable Single Customer View (SCV) combining CRM, transaction, and engagement data

• Develop segmentation models based on lifecycle stage, engagement, and behaviour

• Analyse campaign performance and customer trends to optimise marketing strategy

• Create dashboards and reports in Tableau to communicate insights clearly to stakeholders

• Work closely with marketing, commercial, and data teams to drive cross-functional action

• Ensure high standards of data quality, governance, and compliance

• Stay updated on trends in customer analytics, eCommerce, and digital health

Skills & Experience

Essential:

• Strong SQL skills for data extraction and manipulation

• Experience using Tableau or a similar data visualisation tool

• Proven track record in customer analytics or marketing insight roles

• Ability to communicate insights clearly to non-technical stakeholders

• Experience with campaign analysis, customer segmentation, and lifetime value modelling

• Commercial mindset with a focus on growth and retention

Desirable:

• Experience with GA4, BigQuery, or other advanced analytics tools

• Familiarity with churn, retention, or cross-sell modelling

• Background in healthcare, eCommerce, or subscription-based businesses

• Exposure to scripting languages such as Python

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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

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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.

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