About the role
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.
What you’ll do
- 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.
You have
- 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.
Nice to have
- 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.
How you’ll work
- Customer-obsessed: start from real research needs; prototype quickly; validate with data.
- Cross-functional by default: align research, engineering, ops, and GTM on a single plan; communicate clearly up and down.
- Field-forward: expect regular customer time alongside our AEs and research leads; light travel as needed.
Success looks like
- Clear wins with top labs: pilots that convert to scaled programs with strong eval signals.
- Reusable alignment & eval building blocks that shorten time-to-value across accounts.
- Crisp internal docs (PRDs, experiment readouts, exec updates) that drive decisions quickly.
