Technical Product Manager – AI & Agents

The Problem Worth Solving

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

The industry's answer has been RAG and vector databases. Useful — but approximate. Semantic similarity isnot the same asarchitectural truth.

CAST's answer: give AI the exact structural blueprint of the application, derived deterministically from source code analysis across 150+ technologies. Not approximations.Actual call graphs, dependency maps, transaction flows — the ground truth of how software actually works.We call this Software Intelligence.We'renow building the bridge that puts it directly in the hands of AI agents.

What You'll Be Building

As Technical Product Manager – AI & Agents,you'llown the product definition and roadmap for integrating CAST's 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 applicationit'sworking on.You'lldrive what data gets exposed, how agents consume it, and what new capabilities this unlocks for developers, architects, and transformation teams.

• Hyperscalerpartnerships. You'llmanage and grow technical integrations with AWS and Google Cloud. Our published research with Google has alreadydemonstratedthat augmenting Gemini with CAST's structural analysis produces measurably deeper results on enterprise codebases.You'llbe 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 industries.You'llwork directly with them to understand where AI-driven modernization breaks down in practice, what's missing, and where CAST intelligence fills the gap.They'reone of your best proxies for real market needs, and a source of product ideas youwon'tfind 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 context.You'lltranslate emerging research into product bets, defining what gets productized and when.

What We're 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 decided.You'llwork 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