AI Technical Program Manager

We are looking for an AI-DLC Technical Program Manager who can drive delivery in an AI-native development environment where solutions are discovered, built, evaluated, and refined rapidly. This is not a traditional TPM, Scrum Master, or Project Manager role. The ideal candidate understands how AI fundamentally changes software delivery and can orchestrate cross-functional teams through: Define Intent → Build → Evaluate → Refine → Validate → Deliver. The TPM must combine technical depth, product thinking, rapid execution, and stakeholder management to help teams move from ambiguous problems to validated outcomes in days rather than traditional multi-week cycles, where appropriate.

Skills Required:

· Strong experience managing complex software/application development programs Demonstrated experience working in an AI-assisted or AI-native delivery model.

· Good technical understanding of application architecture, APIs, integrations, cloud, data, CI/CD, testing, security, and observability. Practical understanding of LLMs, Agentic AI, RAG, context engineering, AI evaluation, and AI-assisted software development.

· Experience with AI development environments/tools such as Claude/Claude Code, GitHub Copilot, Cursor, OpenAI/Codex, Gemini, Azure OpenAI, or equivalent. Ability to facilitate rapid build-test-evaluate-refine cycles with engineering and business teams.

· Strong ability to operate in ambiguity and make problems executable without waiting for exhaustive requirements. Strong stakeholder communication and ability to challenge unrealistic timelines or assumptions with engineering evidence.

· Ability to balance speed, quality, security, risk, and production readiness. What We Are Looking for Someone who: • Thinks beyond backlogs, sprints, ceremonies, and project plans. • Is technically strong enough to actively shape delivery with engineers.

· Brings business, engineering, and domain experts together to build and make decisions in real time. • Drives rapid experimentation without losing engineering discipline.

· Uses AI to compress requirements, design, development, testing, and feedback loops, not just coding. Knows when to move fast and when deeper engineering or validation is required.

· Measures success through validated solutions and delivered business value. What This Role Is NOT We are not looking for candidates whose experience is primarily:

· Traditional Agile/Scrum program management. Sprint planning, backlog tracking, RAID management, and status reporting.

· Coordinating AI/ML teams without understanding the underlying technology. Managing conventional SDLC projects that happen to include an AI component.

· Using GenAI primarily for project/productivity tasks. Driving PoCs without understanding the path to production