Scale AI-posted 2 months ago
$1 - $1/Yr
Full-time • Senior
San Francisco, CA
1,001-5,000 employees
Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

We're hiring a Strategic Product Manager to sit at the intersection of frontier AI research, product, and go-to-market. You'll partner closely with account executives in high-stakes meetings, scope and pitch solutions to top AI labs, and translate research needs (post-training, evals, alignment) into clear product roadmaps and measurable outcomes. You'll own end-to-end delivery-from discovery and PRD to pilot, launch, and iteration-with deep cross-functional leadership across research, engineering, ops, and finance.

  • Ride shotgun with AEs: join customer pitches, shape solutions live, and convert needs into scoped SOWs and product plans.
  • Translate research → product: work with client side researchers on post-training (SFT/RLHF/RM/DPO/GRPO), evals, safety/alignment and build the primitives, data, and tooling they need.
  • Own full lifecycle: drive discovery, write crisp PRDs, prioritize trade-offs, run experiments, ship v1s, and scale successful pilots into repeatable offerings.
  • Lead complex customer programs: independently run high-stakes sessions with senior stakeholders; set success metrics; communicate risk and path to green.
  • Partner across Scale: collaborate with research (agents, browser/SWE agents), platform, ops, security, and finance to deliver dependable results for customers.
  • Build evaluation rigor: stand up eval suites (RLVR/benchmarks), close the loop with data quality, and publish internal learnings that raise the bar across accounts.
  • PhD in Computer Science, Machine Learning, or AI (or equivalent research experience) from a top university
  • 5-10+ years in product/research/ENG roles working with LLMs or multimodal systems; hands-on with post-training and evaluations.
  • Strong technical fluency: you can read papers, interrogate metrics, write or review complex Python/SQL for analysis, and reason about model-data trade-offs.
  • Executive presence with world-class researchers and enterprise leaders; excellent writing and storytelling.
  • Comfort in the field: you like joining sales calls, whiteboarding solutions, and turning ambiguous asks into scoped plans.
  • Bias to action: you ship, learn, and iterate.
  • Publications in top venues (NeurIPS/ICLR/ICML), or shipped features grounded in research.
  • Experience building agentic or evaluation systems.
  • Prior customer-facing work with frontier labs or large AI platform teams.
  • Comprehensive health, dental and vision coverage
  • Retirement benefits
  • Learning and development stipend
  • Generous PTO
  • Commuter stipend
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