Technical Program Manager, Data Acquisition

OpenAISan Francisco, CA
$257,000 - $335,000Onsite

About The Position

As a Technical Program Manager (TPM), Data Acquisition, you will partner with research, engineering, and operations to design and implement pragmatic solutions for acquiring data. You will be a key interface between our research roadmap and external data offerings. This role is based in our San Francisco HQ and will be part of a team of TPMs pushing the frontier of data acquisition.

Requirements

  • Proficient in SQL and Python for analysing datasets, querying databases, building dashboards, and generating actionable insights.
  • Comfortable using APIs, automation, and AI tools such as Codex to accelerate workflows, remove manual overhead, and upskill quickly in unfamiliar technical areas.
  • Experience sourcing, evaluating, or working with startups, founder and vendors
  • Excited to understand the technicalities of cutting-edge AI research and work alongside researchers from instantiation to launch.
  • Can move fluidly between research context, commercial execution, and data operations.
  • Want to get your hands dirty; grit and creative problem solving will be required daily
  • Learn technical concepts exceptionally quickly, seeking out knowledge to become proficient in areas that are new to you
  • Operate with high horsepower, are adept at frequent context switching and working on multiple projects at once with expansive ownership, and ruthless prioritization
  • Thrive in dynamic environments and can navigate ambiguity with ease

Responsibilities

  • Partner deeply with research: Work with researchers to scope data needs, define success criteria, and translate priorities into clear execution plans.
  • Shape the data acquisition pipeline: Identify, evaluate, and advance high impact data opportunities - balancing research value, feasibility, quality, and responsible execution.
  • Unblock yourself: Move work forward even when the path is unclear — using technical judgement, creative problem solving, and scrappy execution to make progress while longer-term solutions are still forming.
  • Build lightweight systems and visibility: Use SQL, Python, dashboards, and simple tooling to track performance, quality, and blockers.
  • Drive technical roadmaps: Collaborate with engineers to enhance data platforms, resolve blockers, and ensure security best practices such as access management.
  • Scale your impact: Equip vendors and internal teams with the context, standards, and operating rhythms needed to focus on the most important problems.
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