Technical Product Manager – AI & Agents

Paris - France

Monthly Salary: Not Disclosed

Posted on: 3 days ago

Vacancies: 1 Vacancy

Job Summary

The Problem Worth Solving

Generative AI is a powerful reasoning engine but itoperatesblindinside enterprise software. Itcantmap a million-linemulti-technologiescodebase trace cross-technology dependencies or quantify technical debt. When asked to help modernize a legacy application it guesses.

The industrys answer has been RAG and vector databases. Useful but approximate. Semantic similarity isnot the same asarchitectural truth.

CASTs answer: give AI the exact structural blueprint of the application derived deterministically from source code analysis across 150 technologies. Not call graphs dependency maps transaction flows the ground truth of how software actually call this Software building the bridge that puts it directly in the hands of AI agents.

What Youll Be Building

As Technical Product Manager AI & Agentsyoullown the product definition and roadmap for integrating CASTs platforms CAST Imaging and CAST Highlight into the agentic AI ecosystem. Concretely:

MCP Server & Agentic integrations.CAST Imaging already exposes its structural insights via an MCP server making any MCP-aware agent GitHub Copilot Claude Code Gemini structurally aware of the applicationitsworking what data gets exposed how agents consume it and what new capabilities this unlocks for developers architects and transformation teams.

Hyperscalerpartnerships.Youllmanage and grow technical integrations with AWS and Google Cloud. Our published research with Google has alreadydemonstratedthat augmenting Gemini with CASTs structural analysis produces measurably deeper results on enterprise the product owner turning that into a repeatable offering.

GSI co-innovation.Tier-1 global system integrators are at the forefront of industrializing AI in the software development lifecycle at enterprise scale across directly with them to understand where AI-driven modernization breaks down in practice whats missing and where CAST intelligence fills the of your best proxies for real market needs and a source of product ideas youwontfind in analyst reports.

Next-generation retrieval.Our research team is actively exploring approaches that go beyond standard RAG combining deterministic structural graphs with semantic retrieval to give agentsricher more grounded emerging research into product bets defining what gets productized and when.

What Were Looking For

Hands-on background in software engineering or architecture. You can read a call graph understand whata dependencymeans in practice and have opinions about technical debt.

Experience with agentic AI LLM integrations or developer tooling building products or shipping integrations.

Ability to work across research engineering and commercial teams and translate between all three.

Fluent English. Our teams and partners are global.

Why This Role

The intersection of software intelligence and AI agents is where the next generation of enterprise software transformation will be with a research team that publishes with Google Cloud ships MCP integrations used by real enterprise customers and is actively pushing the frontier on how AI understands software at scale.

The scope is real. The partners are serious. The problem is unsolved.

Reporting to:Head of R&D

Required Experience:

The Problem Worth SolvingGenerative AI is a powerful reasoning engine but itoperatesblindinside enterprise software. Itcantmap a million-linemulti-technologiescodebase trace cross-technology dependencies or quantify technical debt. When asked to help modernize a legacy application it guesses.The in...

The Problem Worth Solving

The industrys answer has been RAG and vector databases. Useful but approximate. Semantic similarity isnot the same asarchitectural truth.

What Youll Be Building

As Technical Product Manager AI & Agentsyoullown the product definition and roadmap for integrating CASTs platforms CAST Imaging and CAST Highlight into the agentic AI ecosystem. Concretely:

MCP Server & Agentic integrations.CAST Imaging already exposes its structural insights via an MCP server making any MCP-aware agent GitHub Copilot Claude Code Gemini structurally aware of the applicationitsworking what data gets exposed how agents consume it and what new capabilities this unlocks for developers architects and transformation teams.

Hyperscalerpartnerships.Youllmanage and grow technical integrations with AWS and Google Cloud. Our published research with Google has alreadydemonstratedthat augmenting Gemini with CASTs structural analysis produces measurably deeper results on enterprise the product owner turning that into a repeatable offering.

GSI co-innovation.Tier-1 global system integrators are at the forefront of industrializing AI in the software development lifecycle at enterprise scale across directly with them to understand where AI-driven modernization breaks down in practice whats missing and where CAST intelligence fills the of your best proxies for real market needs and a source of product ideas youwontfind in analyst reports.

Next-generation retrieval.Our research team is actively exploring approaches that go beyond standard RAG combining deterministic structural graphs with semantic retrieval to give agentsricher more grounded emerging research into product bets defining what gets productized and when.

What Were Looking For

Hands-on background in software engineering or architecture. You can read a call graph understand whata dependencymeans in practice and have opinions about technical debt.