Few Details about the role :
The client is looking for a contract Staff Technical Program Manager to drive program execution across our Measurement portfolio. This portfolio spans experimentation, machine learning, LLM and generative AI, business intelligence data warehouse, cost attribution, and shopping infrastructure. Today these areas lack a dedicated TPM to prioritize and sequence work across them. You will bring structure, prioritization rigor, and cross-team coordination to in-flight, high-priority work.
What You'll Do
Own program execution across multiple interconnected measurement workstreams, building repeatable frameworks to prioritize and sequence work with incomplete information.
Drive the experimentation roadmap, including platform stability, velocity improvements, and launch and scorecard tooling.
Own the program for cost and compute efficiency across ML systems, and help scale data science workflows into production-grade tooling.
Lead cost optimization and evaluation work for LLM and GenAI systems, including evaluation frameworks and metrics transitions.
Drive data warehouse query optimization and analytics agent support.
Own measurement of GenAI-driven productivity and coding model evaluation frameworks.
Own cost attribution and usage understanding across shared infrastructure.
Partner with engineering leads who own parts of this work, without owning their organizations.
Build transparent status, risk, and impact reporting for engineering and executive audiences.
What We're Looking For
Must have
8+ years of technical program management experience driving broad, high-visibility, multi-team portfolios.
A track record of building order out of ambiguity and standing up program structure in under-scoped domains.
Strong portfolio prioritization skills: confident sequencing calls across competing initiatives with limited data.
Technical judgment across experimentation platforms, ML systems, LLM cost and evaluation, or data warehouse and query infrastructure, sufficient to drive tradeoffs without implementing solutions.
Proven cross-org stakeholder management and leadership without authority.
Excellent written and verbal communication, including synthesizing cost, adoption, and prioritization tradeoffs for executive audiences.
Able to operate with minimal supervision and ramp quickly as a contractor.
Nice to have
Hands-on exposure to experimentation platforms (A/B testing infrastructure, causal inference tooling, rollout systems).
Exposure to LLM or GenAI systems in production, or LLM cost management (FinOps).
Experience with Presto, Trino, or similar SQL-on-big-data query optimization.
Familiarity with agent evaluation frameworks or GenAI observability.
Experience coordinating contractor or vendor support on lower-leverage work while retaining ownership of problem synthesis.