Senior AI Product Manager (Code)

Scale AI; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health & wellbeing

Career development

Community & events

Parental support

Job summary

Scale AI is seeking a Senior AI Product Manager to own and scale the Coding portfolio, defining strategy and roadmap across data products, RL environments, and evaluation suites. You will coordinate with AI PMs, ML researchers, engineering, operations, and GTM to convert benchmark credibility into a durable, revenue-generating product line for leading labs.

You will own end-to-end product lifecycle, drive governance, and grow the expert contributor network while aligning with customer demand and

Qualifications

• 5+ years of experience in product management, technical program management, consulting, or customer-facing technical roles.
• Strong stakeholder management and executive communication skills.
• Experience working with AI researchers, ML teams, developer tools, or human-in-the-loop data pipelines.

Responsibilities

• Own the roadmap and strategy for Scale's Coding portfolio.
• Drive task design, environment infrastructure, and evaluation products.
• Collaborate across AI Product Management, ML Researchers, Engineering, and GTM.
• Partner with ML researchers and senior engineers on task specs and grader design.

Skills

Product strategy

Technical depth

Stakeholder management

Customer-facing

Cross-functional leadership

Data-driven decisions

AI/ML collaboration

Job description

• We're looking for a Senior AI Product Manager to own and scale this Coding portfolio from here. In this role, you will define the strategy, roadmap, and operational excellence of Scale's coding data products, RL environments, and agentic coding evaluations.
• You will work across AI Product Management, ML Researchers, Engineering, Operations, and Go-To-Market teams to turn our benchmark credibility into a durable, revenue-generating product line that leading labs depend on to train the next generation of software engineering agents
• You will serve as the product owner for coding initiatives, driving task design, environment infrastructure, expert contributor quality, customer adoption, and business impact. You will work directly with leading AI labs and enterprise customers, representing Scale as a thought partner in how coding models are trained and measured
• Own the roadmap and strategy for Scale's Coding portfolio, defining priorities across SFT and preference data, reinforcement learning environments, agentic task suites, and evaluation products
• Extend the SWE-Bench Pro and SWE Atlas franchises; deciding what comes next as agents saturate current tasks, and converting benchmark authority into training-data and environment revenue
• Facilitate exploration of the Coding domain and drive alignment among AI-PM, ML, Engineering, Operations, and GTM stakeholders
• Evaluate, prioritize, and operationalize new coding product proposals, ensuring alignment with customer demand, model capability frontiers, and company strategy
• Define and manage the end-to-end coding product lifecycle, from ideation and task taxonomy design to pilot, launch, scaling, and sunset decisions
• Partner with ML researchers and senior software engineers to develop trustworthy task specifications, rubric and grader design, verifiable reward signals, and quality bars for code correctness
• Drive the roadmap for coding infrastructure; Harbor-native container environments, execution sandboxes, reproducible repo images, automated verification, and contributor tooling - to improve scalability, reduce manual effort, and accelerate delivery
• Establish governance processes for data quality, contamination and leakage prevention, license and IP hygiene, reproducibility, auditability, and release management
• Grow and steward the expert contributor network of professional software engineers across languages, frameworks, and seniority levels, balancing throughput, cost, and quality
• Own and grow external partnerships across the coding ecosystem, including open-source benchmark collaborations, enterprise codebase partnerships, and joint releases
• Work directly with frontier AI labs and enterprise customers to understand where their coding models fail, gather feedback, and influence future investments
• Track adoption, usage, model-impact signals, and business outcomes, using data-driven insights to guide roadmap decisions and resource allocation
• Identify new coding capability areas; long-horizon agentic work, repo-scale refactoring, debugging, code review, migrations, low-resource languages; that strengthen Scale's leadership and create new revenue opportunities
• Collaborate closely with GTM teams to support customer engagements, thought leadership initiatives, product launches, and strategic partnerships

Benefits

• Health & Wellbeing: Our holistic approach to supporting Scaliens includes comprehensive health coverage, dental and vision insurance, mental healthcare services, and more. PTO policies and accommodating schedules ensure you'll get time off when you need it to relax and recharge. Note that our offerings may vary by region as we strive to respond to the unique needs of Scaliens around the globe.
• Personal & Career Growth: Continuously learn and grow through annual learning & development stipend, attending leadership breakfasts, manager training, speaker series, and joining an ERG.
• Building Scale Community: We welcome guests to our offices, and you can expect to see Scalien families and friends around. Join local happy hours, and accept invites to game nights, book clubs, and many other employee-led community events.
• Parental Support: Balancing work and family is essential, and Scale understands the importance of having adequate leave policies in place to promote a healthy home and work life.

The ideal candidate combines strong product judgment, hands-on technical depth in software engineering, operational rigor, and customer-facing experience, with a passion for turning emerging model capabilities into scalable data products

Excellent stakeholder management and executive communication skills, with a demonstrated ability to drive alignment across cross-functional organizations

Experience building and scaling products that require coordination across engineering, operations, and business teams

Experience working with AI researchers, ML teams, developer tools, or human-in-the-loop data pipelines is strongly preferred

5+ years of experience in product management, technical program management, consulting, or customer-facing technical roles

Bias for action and comfort operating in fast-moving, ambiguous environments

Passion for advancing AI coding capability and helping define how the industry builds and measures software engineering agents

Entrepreneurial mindset with a track record of creating new products, programs, or business initiatives from the ground up

Strong technical depth in software engineering; you can read code, reason about a codebase, and hold your own with senior engineers and ML researchers

Familiarity with how coding models are trained and evaluated, including post-training methods, agentic scaffolds and harnesses, and coding benchmarks such as SWE-Bench and Terminal-Bench

Strong analytical skills and the ability to translate ambiguous market and customer signals into clear product strategy