Senior AI Product Manager at Scale AI in New York, NY; San Francisco, CA

Job description

• Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including frontier model training, enterprise adoption, defense applications, and autonomous vehicles. Our mission is to develop reliable AI systems for the world's most important decisions.
• Scale's evaluation and data products shape how the industry trains and measures frontier models. Our benchmarks and leaderboards influence model development and purchasing decisions across the AI ecosystem, and our data and environments help leading labs build what comes next.
• These roles are deeply cross-functional. You will work across AI Product Management, ML Research, Engineering, Operations, and Go-To-Market teams, and directly with frontier AI labs and enterprise customers, representing Scale as a thought leader in how models are trained and measured. Whichever portfolio you own, you will own it end-to-end: strategy, roadmap, infrastructure, governance, customer adoption, and business impact.
• PMs here operate with significant autonomy, ship frequently, and are expected to be deeply analytical and hands-on. The ideal candidate combines strong product judgment, technical fluency, operational rigor, and customer-facing experience, with a passion for turning emerging model capabilities into scalable products.

Responsibilities

• Own the roadmap and strategy for your portfolio, setting priorities across product development, launches, infrastructure investments, and expansion.
• Drive alignment across AI-PM, ML, Engineering, Operations, and GTM stakeholders.
• Evaluate, prioritize, and operationalize new product proposals, making sure they align with customer demand, model capability frontiers, and company strategy.
• Define and manage the end-to-end product lifecycle, from ideation and design to launch, scaling, maintenance, and sunset decisions.
• Partner with ML researchers and domain experts to develop trustworthy evaluation methodologies, task specifications, scoring and grader design, and quality bars.
• Drive the roadmap for infrastructure, automation, and operational tooling to improve scalability, reduce manual effort, and accelerate delivery.
• Establish governance processes for quality, evaluation integrity, contamination prevention, reproducibility, auditability, and release management.
• Work directly with frontier AI labs and enterprise customers to understand where their models fail, gather feedback, and shape future investments.
• Track adoption, usage, model impact, and business outcomes, using data to guide roadmap decisions and resource allocation.
• Identify new capability areas and product opportunities that strengthen Scale's leadership and create new revenue.
• Collaborate closely with GTM on customer engagements, thought leadership, product launches, and strategic partnerships.

Requirements

• 5+ years of experience in product management, technical program management, consulting, or customer-facing technical roles.
• Strong technical fluency with machine learning systems, AI model evaluation, benchmarking, or data products.
• Experience building and scaling products that require coordination across engineering, operations, and business teams.
• Excellent stakeholder management and executive communication skills, with a proven ability to drive alignment across cross-functional organizations.
• Strong analytical skills and the ability to translate ambiguous market and customer signals into clear product strategy.
• Experience working with AI researchers, ML teams, evaluation frameworks, developer tools, or human-in-the-loop data pipelines is strongly preferred.
• Entrepreneurial mindset with a track record of creating new products, programs, or business initiatives from the ground up.
• Bias for action and comfort operating in fast-moving, ambiguous environments.
• Passion for advancing trustworthy AI and helping define how the industry builds and measures frontier model capabilities.
• For the Coding role: strong software engineering depth, plus familiarity with how coding models are trained and evaluated (post-training methods, agentic scaffolds and harnesses, benchmarks like SWE-Bench and Terminal-Bench).

Skills

Required

• Product management
• Technical program management
• Consulting
• Customer-facing technical roles
• Machine learning systems
• AI model evaluation
• Benchmarking
• Data products
• Stakeholder management
• Executive communication
• Analytical skills
• Entrepreneurial mindset

Preferred

• Experience with AI researchers
• ML teams
• Evaluation frameworks
• Developer tools
• Human-in-the-loop data pipelines

Benefits

• Compensation packages at Scale for eligible roles include base salary, equity, and benefits.
• The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training.
• Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant.
• You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
• Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:
• PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.