Staff Product Manager (Gen AI)

Job summary
Permanent contract
New York, San Francisco
Salary: $240K to 300K
Experience: > 3 years
Skills & expertise
Business acumen
Communication skills
Training and development
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Scale AI
Scale AI

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The position

Job description

  • We are hiring Product Managers across multiple teams within our GenAI organization. These roles span both demand-side products (the tools and platforms our customers interact with) and supply-side products (the systems that power our contributor ecosystem)
  • Each role offers the opportunity to work on high-impact, technically complex problems at the frontier of AI — with dedicated engineering, design, and data science teams
  • Scale’s GenAI platform is how the world’s leading AI companies — from frontier model labs to Fortune 500 enterprises — create the training data that makes their models best-in-class. As a PM here, you are building the systems that directly shape AI model quality
  • These roles are deeply cross-functional. You will work with dedicated engineering, design, and data science teams, as well as operations, finance, growth, and customer-facing stakeholders. The problems are technically complex, the pace is fast, and the impact is measurable
  • Whether you are on the demand side (shaping the products customers use to create and evaluate training data) or the supply side (building the systems that power our global contributor marketplace), you will own your product area end-to-end — from strategy to execution to instrumentation
  • Scale is a growth-stage company with the resources of a well-funded leader and the urgency of a startup. PMs here operate with significant autonomy, ship frequently, and are expected to be deeply analytical and hands-on
  • Task UX (Demand Side) — Own the end-to-end tasking product. You will define how tasks are designed, how contributors interact with multi-turn chat interfaces, and how in-task quality is measured and enforced across diverse conversational modalities. This is a critical surface area for training the next generation of models
  • Multi-Dimensional Quality (Demand Side) — Own Scale’s MDQ measurement framework, the CoPilot assisted-annotation experience, and our data pipeline connectivity layer. You will drive the core data quality infrastructure that customers depend on — defining how quality is decomposed, measured, and surfaced, while building AI-assisted tooling that helps contributors produce higher-quality outputs faster
  • Pay & Incentives (Supply Side) — This PM owns the payment and incentive systems that serve Scale’s global contributor base. You will ensure 500,000+ contributors across 100+ countries are paid accurately and on time, set pay rates methodically by skill and geography, and design incentive structures that balance cost efficiency, data quality, and contributor satisfaction
  • This role sits at the intersection of marketplace economics, global payments operations, and contributor experience
  • Set the product strategy and roadmap for your area, grounded in customer needs, data analysis, and business impact
  • Develop and execute a data-driven product roadmap through close collaboration with senior leadership, engineering, operations, data science, analytics, and design
  • Translate customer and internal-user needs into clear, well-defined functional and technical requirements backed by data analysis and deep understanding of your users
  • Guide and interface closely with engineering and data teams to define scope, review and refine technical capabilities, prioritize projects for release, and identify new opportunities
  • Build long-term instrumentation, monitoring, and evaluation capabilities for product performance tracking and insight generation
  • Establish business cases and projected return on investment to identify and prioritize opportunities
  • Partner with finance and business leaders to manage impact on the profitability and growth of the overall business
  • Communicate product vision, strategy, and progress to executive stakeholders and cross-functional partners

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.

Preferred experience

  • Experience building products from the ground up and iterating through the scaling journey of a business
  • Bachelor’s or advanced degree in a quantitative, engineering, or related discipline
  • Excellent communication and stakeholder management skills, capable of influencing across technical and non-technical audiences
  • Experience translating complex technical systems into clear product strategies — comfort engaging deeply with engineering and data science teams
  • Strong business acumen and analytical rigor, with demonstrated success driving products in ambiguous, high-growth environments
  • 4–10 years of experience in Product Management in the tech industry, with scope appropriate to level (L4: 4–6 yrs, L5: 6–8 yrs, L6: 8–10+ yrs)
  • Experience in AI/ML, data infrastructure, or marketplace businesses
  • Experience with global payment systems, contributor/gig-economy platforms, or trust & safety domains
  • Strong understanding of the AI landscape — model training workflows, data labeling, evaluation, and deployment
  • Experience working at high-growth startups or scaling consumer/enterprise platforms

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