Technical Product Manager (Applied AI)

Join Clariti as a Technical Product Manager (Applied AI) and play a crucial role in scaling our AI capabilities across the company. You will own the Agentic SDLC framework roadmap, extend it into our Professional Services practice, productize the Clariti AI harness for non-technical teams, run the enablement flywheel, manage AI vendor and model strategy for internal use, and own governance for agent output. This is a unique opportunity to treat AI capability as a platform product and drive its adoption across the organization.

• Own the Agentic SDLC framework roadmap, prioritize and ship improvements to the agentic SDLC used by product development pods.
• Extend the Agentic SDLC framework into Professional Services delivery, partnering with the PS leadership team to embed agentic workflows into active implementation projects.
• Productize the Clariti AI harness for non-technical teams, shipping and maintaining the connector layer, a curated skill and template library per function, and the onboarding paths.
• Proven ability to make powerful technology usable by non-technical people, including the judgment for when to build, buy, or simply document
• Comfort with ambiguity and a small blast radius: this is a pod of few, not a department of many
• Strong written communication. Most of your influence will be through specs, playbooks, and enablement content
• 5+ years in technical product management, platform engineering, solutions engineering, or applied AI roles, with at least 1 to 2 years shipping LLM or agentic systems into production or into daily internal use
• A platform mindset: you measure yourself on other teams' throughput, and you know the difference between building a tool and driving its adoption
• Hands-on fluency with the current agentic stack: you have personally built with agent frameworks (Claude Code, LangGraph, or equivalents), MCP or comparable tool protocols, and eval-driven iteration. You can read and write an agent spec, not just commission one
• Experience in regulated or public-sector software, where auditability and defensibility of outputs matter
• Experience in professional services or delivery organizations; you understand utilization, margin, and why consultants distrust tooling that slows them down
• Prior ownership of an internal developer platform, DevEx, or DevOps function