Mid Level Strategy Lead Jobs

INTRODUCTION

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.

ROLE AND RESPONSIBILITIES

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.

BASIC QUALIFICATIONS

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

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.

LOCATION

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.

About us

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.

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.

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