Senior AI Coding Product Manager

Neura Market; New York (NY); On-site; USD 206,000 - 257,000; Full time

Benefits offered by this job

Health, dental and vision coverage

Retirement benefits

Learning & development stipend

Generous PTO

Commuter stipend

Job summary

Scale is seeking a Senior AI Product Manager to own and scale the Coding portfolio, defining strategy, roadmaps, and operational excellence of coding data products, RL environments, and agentic evaluations.

You will partner with AI PM, ML research, engineering, operations, and GTM to turn benchmark credibility into a durable, revenue-generating product line used by leading labs to train and measure software engineering agents.

Qualifications

• 5+ years of experience in product management, technical program management, consulting, or customer-facing technical roles.
• 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.
• Experience building and scaling products that require coordination across engineering, operations, and business teams.

Responsibilities

• 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.

Skills

Product management

Software engineering

AI models

Stakeholder management

Executive communication

Analytical skills

Developer tools

Human-in-the-loop data pipelines

Job description

Scale is seeking a Senior AI Product Manager to own and scale the Coding portfolio, defining strategy, roadmaps, and operational excellence of coding data products, RL environments, and agentic evaluations.

You will partner with AI PM, ML research, engineering, operations, and GTM to turn benchmark credibility into a durable, revenue-generating product line used by leading labs to train and measure software engineering agents.