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Data Acquisition Lead, Frontier Environments

Scale AI


Job Location:

San Francisco, CA - USA

Monthly Salary: $ 182400 - 228000
Posted: 26 August 2026 (12 hours ago)
Application Deadline: 23 November 2026
Vacancies: 1 Vacancy

Job Summary

Join the team shaping the future of AI at Scale.

Scale builds RL environments: sandboxed replicas of the digital spheres where real knowledge work occurs and built from the operating data of the companies that actually hold it. As the Data Acquisition Lead you will own the commercial motion that gets us that data end to end. You will figure out which companies sit on the data for the next domain worth owning and then go and get it. This is a zero-to-one function with no playbook. You should be prepared to wear many hats from thesis-driven dealmaker to hands-on operator to technical translator between commercial and Research teams.

You will:
  • Map the supply side. Work backwards from where labs are pushing to the specific organizations holding the underlying data. Build a thesis on which domains are worth owning and in what order.
  • Invent the deal structures. Youll work with Scales legal team to define the first version of how these transactions get priced.
  • Close. Own it from cold outreach to signature.
  • Close the loop with the technical side. You need to hold a real conversation about what makes a dataset trainable and become an expert in what makes this underlying data valuable.
  • Build the machine. Do the work by hand first then turn what you learn into a repeatable pipeline.
Ideally youd have:
  • 5 years across some mix of business development corp dev commercial strategy or early-stage GTM. The label matters less than a track record of building a commercial motion that didnt exist before you got there
  • A strong track record of managing important external relationships
  • Strong business judgment and the ability to evaluate partnership value quickly
  • Clear communication skills and comfort working with senior stakeholders
  • Ability to operate independently while staying closely connected to cross-functional teams
  • A practical hands-on approach to building new functions from the ground up
  • Comfort working in fast-moving ambiguous environments
  • Experience in AI data infrastructure marketplaces platforms or high-growth technology companies
  • Familiarity with post-training RL evals or synthetic data
  • Experience with data licensing IP or regulated data
  • Experience partnering closely with Legal and Finance on complex agreements

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. Youll 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 postings 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:

$182400 - $228000 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 Us:

At Scale our mission is to develop reliable AI systems for the worlds most important decisions. Our products provide the high-quality data and full-stack technologies that power the worlds 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 Please see the United States Department of Labors Know Your Rights poster for additional information.

We comply with the United States Department of Labors Pay Transparency provision.

PLEASE NOTE: We collect retain and use personal data for our professional business purposes including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants needs provide our services and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our for additional information.


About Company

Trusted by world class companies, Scale delivers high quality training data for AI applications such as self-driving cars, mapping, AR/VR, robotics, and more.

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