Senior AI Product Manager, Code

Навыки

• Code review
• Коммуникация
• Решения на данных
• Data Quality
• Отладка и поиск ошибок
• Google Tag Manager
• Лидерство

О компании и продукте

• At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
• We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
• We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
• We comply with the United States Department of Labor's Pay Transparency provision .

Задачи

• 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
• Ideally, You'd Have
• 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

Требования

• 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
• 5+ years of experience in product management, technical program management, consulting, or customer-facing technical roles
• Excellent stakeholder management and executive communication skills, with a demonstrated ability to drive alignment across cross-functional organizations

Паспорт вакансии

История публикации

Откуда что взялось

Отмечено то, что вывели мы. Без пометки — значение назвал работодатель.

Почему на этом месте в выдаче

Порядок выдачи объявлен контрактом: свежесть решает между днями, полнота и зарплата — внутри дня.