Scale AI, Inc.
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. Compensation and why Scale
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed reflects the minimum and maximum target for new hire salaries for the position, determined by work location and other factors. You\'ll also receive benefits including comprehensive health, dental and vision coverage, a learning and development stipend, and generous PTO. This role may be eligible for additional benefits such as a commuter stipend. Your recruiter can share the specific salary range for your location during the hiring process and confirm eligibility for equity. About us and equal opportunity
About Us: Scale develops reliable AI systems for the world\'s most important decisions, powering AI applications across industries and government. We are committed to equal employment opportunity and to providing reasonable accommodations to applicants with disabilities. Please contact accommodations@scale.com if you need assistance. We also provide the Know Your Rights poster and Pay Transparency information as part of our policy disclosures.
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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. Compensation and why Scale
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed reflects the minimum and maximum target for new hire salaries for the position, determined by work location and other factors. You\'ll also receive benefits including comprehensive health, dental and vision coverage, a learning and development stipend, and generous PTO. This role may be eligible for additional benefits such as a commuter stipend. Your recruiter can share the specific salary range for your location during the hiring process and confirm eligibility for equity. About us and equal opportunity
About Us: Scale develops reliable AI systems for the world\'s most important decisions, powering AI applications across industries and government. We are committed to equal employment opportunity and to providing reasonable accommodations to applicants with disabilities. Please contact accommodations@scale.com if you need assistance. We also provide the Know Your Rights poster and Pay Transparency information as part of our policy disclosures.
#J-18808-Ljbffr