Drive adoption of an internal automation platform for AI infrastructure teams by running rollout, training, and enablement programs. Build frontend fixes (React/TS), prototype with AI tools, measure usage, and translate operational friction into shipped improvements.
200k – 300k
On-site5+ YOETechnical Program Management
About the role
Role Scope
Drive adoption of the automation platform across every function: data center delivery, supply chain, manufacturing, finance, and operations.
Run the rollout, onboarding, and training programs that take a team from first demo to living in the tools, one function at a time.
Sit with delivery, procurement, and finance teams to find exactly where adoption sticks, then build the fix yourself, whether that's a frontend surface, a dashboard, or the workflow UI that closes the gap.
Measure adoption surface by surface and feed what's not being used back to the product teams as roadmap signal, so production usage decides what ships next.
Own the enablement program across dozens of teams at once, from the first pilot function to the whole company running on the platform.
What We're Looking For
You've run adoption, rollout, or change programs where real teams changed how they work, and the new workflow stuck after you moved on.
You build frontend surfaces yourself (React, TypeScript, or similar) instead of filing a ticket and waiting on an engineering queue.
You prototype with AI tools (Claude Code, Cursor, LLM APIs, MCP) daily and ship what works.
You've held credibility with non-technical operators and platform engineers in the same hour, distilling each side's problem into a fix the other side accepts.
You sit with the people doing the work, watch where they get stuck, and turn what you see into fixes that ship the same week.
You find the unowned problem, take it, and drive it all the way to adopted without anyone assigning you the work.
You measure success by usage, not launches, and you treat a shipped feature nobody uses as a miss.
Bonus
Internal platform or developer enablement programs.
Design systems or UI prototyping.
Training or documentation programs at scale.
Analytics tooling for adoption measurement.
Salary & Benefits
The base salary range for this position is $200,000 - $300,000 per year, depending on experience, skills, qualifications, and location.
Competitive total compensation package (salary + equity).
Retirement or pension plan, in line with local norms.
Technical Program Manager bridging engineering and procurement for massive AI data center supply chain. Own BOM accuracy, supplier qualification, vendor submittals, and change control to keep 10GW+ compute builds on schedule.
200k – 275k
On-site5+ YOETechnical Program Management
Technical Product Manager, Product Experience
character.aiRedwood City, CA
Technical Program Manager partnering directly with the CPO at Character.AI to drive execution of product, design, and engineering initiatives. High-agency fixer who eliminates blockers, optimizes processes, leverages AI tools, and ensures seamless cross-functional delivery in a fast-paced AI consumer company.
200k – 300k
On-site5+ YOETechnical Program Management
Technical Program Manager, Data Center Operations
FluidstackAustin, TX +2
Own end-to-end data center site handover, SOPs, and incident management programs. Drive cross-functional coordination across design, construction, and ops teams in mission-critical environments.
200k – 270k
On-site5+ YOETechnical Program Management
Technical Program Manager, Data
SesameSan Francisco, CA
Leads data collection and annotation initiatives for audio/ML projects, collaborating with research/product teams to gather requirements, manage resources/vendors, and ensure high-quality delivery. Requires 5+ years with ML teams and data labeling experience.
200k – 260k
On-site5+ YOETechnical Program Management
Technical Program Manager, Quality and Reliability
HarveySan Francisco, CA
Own product quality and reliability as Technical Program Manager, leading release management, incident response, and cross-team initiatives to improve test coverage, observability, and metrics like MTTR in a fast-scaling SaaS environment. Requires 5+ years TPM experience, QA background, and bachelor's in technical field.