Growth Strategy & Operations Lead

Growth Strategy & Operations Lead, Generative AI As Scale AI continues its historic growth trajectory in Generative AI, we are seeking a Growth Strategy & Operations Lead to help ensure our customer projects have the expert capacity they need to deliver on time. Growth at Scale is not traditional user acquisition: our team manages the supply side of Outlier, Scale’s expert contributor marketplace, sourcing, onboarding, activating, retaining, and routing highly skilled contributors such as PhDs, coders, and domain experts to the AI projects that need them most. This demanding and multi-faceted role requires a unique blend of strategy, operations, and analytics. You will work across acquisition channels, onboarding and screening funnels, contributor training, retention programs, and project ramp planning to build the expert supply engine behind Scale’s most strategic Generative AI work. You will: - Drive critical growth projects that expand and improve the expert supply available for Scale’s highest-priority AI projects, collaborating closely with Engineering, Operations, Go-to-Market, and project delivery teams. - Develop and enhance growth strategies, funnels, and pipelines for acquiring expert contributors through channels such as outbound, referrals, hackathons, partnerships, paid acquisition, and professional communities. - Improve onboarding, screening, verification, and training systems so that experts can be evaluated, activated, and ramped onto customer projects quickly and reliably. - Manage supply-side operations across the contributor lifecycle, including activation, retention, churn mitigation, skill/profile validation, and routing contributors to the most relevant projects. - Build analytical systems and operating rhythms to forecast capacity needs, diagnose funnel bottlenecks, and ensure projects ramp enough qualified experts to meet delivery timelines. - Present regular progress updates to Scale’s executive team, translating supply health, ramp progress, and growth initiatives into clear recommendations and decisions. - Tackle some of the most pressing growth challenges in AI expert marketplaces, setting new standards for how Scale sources and manages the talent required to train frontier AI models. Ideally, you’d have: - 5+ years of experience on growth, product, or operations, or as a SWE. - Prior experience with operations-heavy business models (e.g. on-demand, marketplace, logistics, supply chain) - Strong technical background (a degree in STEM is ideal, and at minimum the role requires the ability to do data analytics using SQL or Python). - Excellent problem-solving capabilities and a robust analytical approach, with the ability to leverage data to inform growth strategies (experience working on operational challenges or as a consultant is a plus). - An entrepreneurial spirit, comfortable with navigating ambiguity and scaling new products or services from the ground up. - Prior experience building with AI tools and workflows - you've tinkered, shipped something, and can quickly pick up new AI tooling as the landscape evolves This role is critical to ensuring that Scale AI can meet rapidly growing customer demand by building, managing, and scaling the expert supply needed for Generative AI projects. The ideal candidate will combine marketplace growth instincts, operational rigor, technical fluency, and a bias toward execution in high-stakes, fast-moving environments. 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: $180,800—$226,000 USD 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. About U

5+ years of experience on growth, product, or operations, or as a SWE. Prior experience with operations-heavy business models (e.g. on-demand, marketplace, logistics, supply chain). Strong technical background (a degree in STEM is ideal, and at minimum the ability to do data analytics using SQL or Python). Excellent problem-solving capabilities and a robust analytical approach, with the ability to leverage data to inform growth strategies (experience working on operational challenges or as a consultant is a plus). An entrepreneurial spirit, comfortable with navigating ambiguity and scaling new products or services from the ground up. Prior experience building with AI tools and workflows - you've tinkered, shipped something, and can quickly pick up new AI tooling as the landscape evolves.

Drive critical growth projects that expand and improve the expert supply available for Scale’s highest-priority AI projects, collaborating closely with Engineering, Operations, Go-to-Market, and project delivery teams. Develop and enhance growth strategies, funnels, and pipelines for acquiring expert contributors through channels such as outbound, referrals, hackathons, partnerships, paid acquisition, and professional communities. Improve onboarding, screening, verification, and training systems so that experts can be evaluated, activated, and ramped onto customer projects quickly and reliably. Manage supply-side operations across the contributor lifecycle, including activation, retention, churn mitigation, skill/profile validation, and routing contributors to the most relevant projects. Build analytical systems and operating rhythms to forecast capacity needs, diagnose funnel bottlenecks, and ensure projects ramp enough qualified experts to meet delivery timelines. Present regular progress updates to Scale’s executive team, translating supply health, ramp progress, and growth initiatives into clear recommendations and decisions. Tackle some of the most pressing growth challenges in AI expert marketplaces, setting new standards for how Scale sources and manages the talent required to train frontier AI models.