Technical Product Manager - AI & Agents

Stack

Responsibilities

• ▹MCP server and agentic integrations: decide what data gets exposed, how agents consume it and what new capabilities this unlocks for developers, architects and transformation teams
• ▹Hyperscaler partnerships: manage and grow technical integrations with AWS and Google Cloud, turning the Gemini plus CAST structural analysis combination into a repeatable offering
• ▹GSI co-innovation: work with global system integrators to understand where AI-driven modernization breaks down in practice and where CAST fills the gap
• ▹Next-generation retrieval: combine deterministic structural graphs with semantic retrieval, translate research into product bets, and define what gets productized and when

Requirements

• ▹Hands-on background in software engineering or architecture: able to read a call graph, understand what a dependency means 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 them
• ▹Fluent English

Soft skills

About the company

CAST offers Software Intelligence: the exact structural blueprint of an application (call graphs, dependency maps, transaction flows), derived deterministically across 150+ technologies. CAST Imaging already exposes these insights via an MCP server to MCP-aware agents (GitHub Copilot, Claude Code, Gemini).