Top Product Manager Jobs in Paris

Design user-centered experiences for an agentic AI workflow platform. Conduct user research, create designs and prototypes, test products through interviews and A/B testing, measure impact, iterate quickly, and shape the product roadmap with product and engineering teams. The role requires simplifying complex AI-driven workflows, designing for unpredictable AI behavior, maintaining user control, contributing to design systems, and collaborating comfortably on technical topics.

Own the architecture enabling AI-first product engineering, including agent-native standards, context infrastructure, self-healing incident workflows, autonomous agent features, and AI code review optimization. Ship full-stack product features, set technical direction, and partner with product and design teams. The role requires strong backend engineering, production LLM experience, distributed systems expertise, and practical use of AI coding tools.

Lead the architecture and implementation of AI-native product engineering systems, including agent-ready code standards, context infrastructure, self-healing incident workflows, multi-step agentic features, and AI code-review optimization. Ship end-to-end product features, set technical direction, evaluate LLM reliability and trade-offs, and accelerate validated learning through close collaboration with engineering, product, and design teams.

Lead architecture and end-to-end development of AI-first product features. Establish agent-native engineering standards, context infrastructure, self-healing incident workflows, multi-step agent systems, and AI code-review optimization. Collaborate with engineers, product managers, and designers to ship validated product improvements quickly while setting technical direction. The role requires strong backend and full-stack development, distributed systems expertise, production LLM experience, and effective use of AI coding tools.

Lead architectural work for AI-native backend engineering, including agent-ready code standards, context infrastructure, self-healing incident workflows, multi-step LLM agents, and AI code-review optimization. Ship backend code and AI-first product features while setting technical direction and collaborating with product and design teams. Apply strong distributed-systems, event-driven architecture, and production LLM expertise to accelerate validated learning.

Lead the architecture and implementation of AI-native product engineering systems, including agent-ready code standards, context infrastructure, self-healing incident workflows, multi-step agentic features, and AI code-review optimization. Ship production software, establish technical direction, and partner with product and design teams to accelerate validated learning. The role requires strong backend and distributed-systems expertise, hands-on LLM product experience, and practical use of AI coding tools.

Own the architectural layer for AI-native product engineering, including agent-ready code standards, context infrastructure, self-healing incident workflows, multi-step LLM agent systems, and AI code review optimization. Ship backend code, set technical direction, and partner with product teams to deliver validated AI-first features. The role requires strong backend, distributed systems, event-driven architecture, LLM, and AI coding tool experience.

Own the corporate actions product lifecycle for a self-clearing broker-dealer, including announcement ingestion, entitlement calculations, event processing, payouts, reconciliation, exception handling, vendor relationships, automation, observability, and international-market readiness. Partner with Engineering, Operations, Compliance, Tax, Finance, and Legal to ensure accurate, compliant, scalable brokerage and post-trade infrastructure.

Lead Dune’s product strategy for institutional market data and onchain finance customers. Own the product experience from data creation through delivery, prioritize customer problems, define quality and success measures, and guide engineering and data teams in delivering reliable datasets, feeds, and integrations. Partner with commercial teams on evaluations, pricing, and adoption; improve product operations; and lead a product team focused on customer outcomes.

Contribute to AI-powered forecasting and optimization tools for revenue management. Analyze optimization algorithms, monitor decision data, develop performance KPIs, validate new features, write product tickets, and collaborate with Data Science, Machine Learning, Software, and Product teams. Share findings in product discussions and help deliver improvements used by transport and events clients.

Contribute to AI/ML-powered forecasting and optimization product development for air cargo revenue management. Responsibilities include feature specification and prioritization, model performance monitoring, stakeholder reporting, testing, documentation, AI/ML customer support, and client implementation support. The intern will collaborate with Data Science, Software, and Product teams while helping deliver and improve data-driven SaaS solutions.

Industrialize products from zero-batch production through series manufacturing. Responsibilities include reviewing technical documentation, analyzing and dimensioning designs, defining tolerances, validating complex mechanical assemblies, conducting pre-series tests and inspections, preparing manufacturing documentation and production drawings, designing specialized tools, and updating manufacturing files throughout series production.

Supports client solution design, workflow configuration, product adoption, training, demonstrations, testing, documentation, and internal enablement for a B2B SaaS fintech platform. The role translates business and technical requirements into scalable workflows, identifies automation opportunities, provides product feedback, supports presales and expansion activities, and escalates complex issues to senior Product Specialists.

Own a strategic sustainability product use case end to end, including customer discovery, vision, market analysis, AI-enabled prototyping, roadmap, engineering execution, go-to-market, and measurable business outcomes. The role requires direct customer engagement, cross-functional collaboration, rapid decision-making, and strong technical fluency with AI tools, LLM APIs, and scripting languages.

Own the roadmap for a core AI-powered cybersecurity platform area spanning investigations, threat detection, and response. Conduct customer discovery with SOC teams, define product requirements and prioritization, lead an engineering squad, and measure AI investigation quality and trust. Partner with engineering, sales, and customer success to launch features, drive adoption, and shape platform strategy in a B2B SaaS environment.

Own product design for detection engineering and exposure management in a cybersecurity AI platform. Responsibilities include user research with SOC experts, designing trustworthy AI workflows, clarifying dense security data, creating prototypes in code, and contributing to the design system. The role partners closely with product and engineering teams to deliver complex B2B SaaS experiences for security professionals.

Own the vision, strategy, roadmap, and prioritization for machine-learning prediction products supporting growth operations. Conduct stakeholder discovery, define technical specifications, coordinate releases, onboard users, analyze performance, and resolve prediction issues. Collaborate with external partners, monitor privacy developments, improve team processes, and serve as the primary contact for senior management. The role requires strong product management experience, analytical thinking, communication skills, English fluency, and conversational French.

Own the Imagino Marketing Automation platform across Europe and Switzerland. Define the product vision, roadmap, backlog, standards, and functional requirements; prioritize business needs; coordinate delivery with technology teams and partners; support campaign and journey enablement; improve quality, compliance, adoption, and operational efficiency; and train Campaign Managers across multiple markets.

Leads the Digital Workplace product vision, roadmap, and strategy across self-service, employee experience, collaboration, endpoint provisioning, and Microsoft 365 tools. Manages Product Owners and cross-functional squads, oversees strategic projects, and ensures governance, compliance, licensing optimization, adoption, and secure-by-design practices. Partners with HR, cybersecurity, infrastructure, regional IT, vendors, and hotel operations to deliver a consistent global digital workplace experience.

Leads Sanofi’s global Quality Control digital product line and transformation strategy across manufacturing sites. Oversees LIMS, LES, robotics, AI, analytics, data architecture, roadmaps, budgets, deployments, KPIs, and continuous improvement. Builds and mentors product teams, manages stakeholders and vendors, drives organizational change, and ensures adoption and ROI in regulated QC environments.

Design polished interfaces for the vCluster Platform, partnering closely with frontend, backend, product, and engineering teams. Translate complex technical problems and ambiguous requirements into intuitive B2B product experiences. Conduct UX research and competitive analysis, communicate design decisions to stakeholders, and maintain visual consistency with the company brand. The role focuses on engineer-facing infrastructure products and requires technical curiosity, strong visual design, user empathy, and autonomous execution in a distributed startup environment.

Build and grow French-language YouTube channels in the iGaming affiliate marketing space. Responsibilities include identifying keywords and competitors, launching channels, producing content at scale, optimizing SEO and video packaging, analyzing rankings, CTR, retention and signups, and running experiments to improve performance. The role requires independent ownership, analytical decision-making, content production, basic video editing, AI and automation usage, and compliance with YouTube policies.

Lead product control and financial control activities for Morgan Stanley Europe SE. Responsibilities include ensuring accurate accounting and reporting, analyzing revenue, supporting daily and month-end close, reviewing valuations and controls, partnering on budgets and forecasts, managing audit relationships, identifying risks, and improving financial processes and governance.

Own the end-to-end product lifecycle for a performance-driven iGaming brand. Analyze and optimize acquisition, conversion, retention, engagement, and monetization funnels; run A/B tests; make data-driven decisions; coordinate with CRM, Marketing, Content, and Gamification teams; launch features; and manage product priorities, roadmaps, and backlogs.

Product Management Interns will support customer discovery, product initiatives, requirements definition, product-data analysis, technical demonstrations, and product communications. They will collaborate with Engineering, Design, and Product Marketing while developing expertise in Datadog’s observability platform and cloud infrastructure products.