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SandboxAQPosted 1 month ago

Technical Program Manager, R&D

$131,200–$246,000 year

RemoteUnited States

Full TimeSmall

Job Summary

Anticipate bottlenecks before they occur by working with R&D and Product to define requirements, surface technical dependencies, and build delivery schedules that account for trade-offs. Translate between R&D, Product, and Finance to build shared vocabulary and cadence that allows scientists to explore while stakeholders demand predictability. Design execution rituals like sprints and checkpoints that create accountability without forcing lab-paced work into a factory cadence. Own the roadmap end-to-end, building, defending, and updating it as the science evolves to ensure it remains a living tool. Drive resourcing conversations with leadership and finance to make cases for R&D needs backed by a track record. Coordinate the final handoffs for milestones, papers, or product launches to ensure clean delivery without scrambling.

Required Qualifications

  • 8+ years in technical program management or a similar role
  • real experience sitting inside, rather than just tracking the status of, R&D or deep-science teams that shipped world-class products
  • A track record, proven by specific moments you can point to, of stepping into a program mid-crisis (a stalled milestone, a resourcing gap, a scope blowup) and getting it back on track
  • Demonstrated ability to build and defend ROI-generating roadmaps for teams doing genuinely novel, high-uncertainty scientific work
  • Proven ability to get fluent in a new scientific domain fast enough to make good calls in it independently
  • An advanced degree in a technical field
  • Deep experience working within heavily scientific teams
  • Experience partnering directly with finance and product leadership to tie technical delivery to investment decisions
  • A bias toward asking 'how might this plan break in six months?' before it does

Desired Qualifications

  • Experience at a startup, or in another environment where the roadmap changed faster than the org chart could keep up
  • Direct biotech or biopharma experience
  • Degree in machine learning and/or a drug-discovery-related field
  • Experience standing up program management tooling, dashboards, or automation pipelines that a scientific team actually kept using

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