The Rundown AI, Inc.
Strategic Product Manager
The Rundown AI, Inc., San Francisco, California, United States, 94199
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.
#J-18808-Ljbffr
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.
#J-18808-Ljbffr