IA Product Manager

Tricefal; Paris; Sur place; EUR 90 000 - 130 000; Plein temps

Avantages offerts par ce poste

Equity-based compensation

Cash-based compensation

Flexible work environment

Résumé du poste

A European deep-tech startup is seeking an AI Product Manager to drive the strategy and execution of AI-powered product capabilities. The ideal candidate will be responsible for translating business objectives into clear, scalable product initiatives, owning all aspects from discovery to delivery. A strong background in AI technologies and customer-centric product development is essential for this role. This position emphasizes collaboration with engineering and AI research teams to ensure successful product execution.

Qualifications

• Experience in developing AI-driven product capabilities.
• Ability to translate business objectives into product initiatives.
• Strong understanding of AI technologies and trends.

Responsabilités

• Drive AI product strategy by identifying market signals.
• Clarify requirements and metrics for AI features.
• Engage with customers to understand AI-driven feature expectations.
• Own the roadmap for AI-related product scopes and translate strategy into Epics and user stories.
• Maintain a clear, prioritized backlog for engineering and AI teams.
• Monitor adoption, usage patterns and trust signals of AI features.

Connaissances

Product strategy

Customer engagement

Data analysis

AI capabilities

Product discovery

Description du poste

Compensation: Highlycompetitive,cashand equity-based

Xxxxxxx is an Europeandeep-techstartupbuildinga newinfrastructurelayerforAI-powered softwaresystems.

Ourcorebeliefis simple,AIdoesnotprimarilysufferfroma lackof models,itsuffersfroma lackof reliable,structuredand governedcontext.

Today’sLLMs operateon limited,staticcontextwindows,oftendisconnectedfromreal-world softwaresystems.This resultsin hallucinations,brittleautomation,technicaldebtamplification and preventstrueAIautonomy.

Xxxxxxx tacklesthis problemattheroot.

Wearebuildinga contextintelligenceplatformforcodeand softwaresystems,designedto aggregate,structureand exposestatic,historicaland dynamiccontext,comingfromsource code,architectures,businesslogic,runtimebehavior,logs,incidents,supportticketsand operationalsignals.

This contextbecomesinfrastructure,consumablebyhumansand byAIsystems. Ourtechnicalplayground

AtXxxxxxx,AIis nota productfeature,Itis thecoresystem.

Platform features

• Advancedsemanticrepresentationsof sourcecodeand large-scalesoftwaresystems
• Multi-layercontextmodeling,technical,businessand organizational
• Alignmentbetweenhumanintent,actualsourcecodeand runtimebehavior
• Hallucinationreductionand reliabilityof AI-drivenagents
• Agentorchestrationpoweredbygoverned,high-fidelitycontext
• ScalingAIsystemsin mission-criticalenterpriseenvironments
• Xxxxxxx is agnosticto anyAIModelsserviceproviderand anyvectordatabaseprovider

Weoperateattheintersectionof AIresearch,softwareengineering,systemsdesignand real-

worldproductionconstraints.

The role

Wearehiringan AIProductManagerto drivethedefinition,evolutionand executionof AI- poweredproductcapabilitieswithinXxxxxxx.

This rolecombinesproductstrategy,AI-awareproductdiscoveryand hands-on execution.You willberesponsiblefortranslatingbusinessobjectives,customerneedsand AIcapabilitiesinto clear,scalableproductinitiatives.You willownyourscopeend-to-end,fromdiscoveryto deliveryand adoption.

Key responsibilities

• Contributeto theAIproductstrategybyidentifyingopportunitiesdrivenbycustomer needs,AIcapabilitiesand marketsignals
• DefineAI-drivenproductproblemsclearlyusingdata,experimentationand customer insights
• WorkcloselywithAIresearchand engineeringteamsto shapefeasible,high-impact solutions
• OwntheroadmapforAI-relatedproductscopes
• Translatestrategyinto AIproductinitiatives,epicsand userstories
• Balanceinnovation,technicalconstraintsand time-to-market
• Maintain a clear,prioritizedbacklogforengineeringand AIteams

Customer-centric AI product development

• Engagedirectlywithcustomersto understandexpectationsaroundAI-drivenfeatures
• Setup structuredfeedbackloops,pilots and betaprogramsforAIcapabilities

Execution and delivery

• W ork c l os elyw i thengineeringandAI r es ea r ch t eams t odri v e ex e cu tionf r om concept t op r oduction
• C l ari f y r equi r emen t s , s scopeand s ucc e s smetri c s f orAI f e a tu r e s
• En s u r edeli v e r y w i tha s t r ong f o c uson r el i abil i t y ,u s abil i tyandper f ormance
• Monitoradoption,usagepatternsand trustsignalsof AIfeatures
• Identifyopportunitiesto improveexplainability,accuracyand perceivedvalue
• Staycurrenton AI,SaaS and developertoolingtrends