Data Acquisition Lead, Frontier Environments

United States Digital Space LLC; San Francisco, New York (CA, NY); On-site; USD 182,000 - 228,000; Full time

Benefits offered by this job

Health, dental, vision

Retirement benefits

Learning stipend

Generous PTO

Commuter stipend

Job summary

Scale is seeking a Data Acquisition Lead to own the commercial motion for data, from thesis to signature. You will map supply, design deal structures with the legal team, and close end-to-end while coordinating with research and engineering to ensure dataset value and trainability.

The role requires a proven track record in business development, external relationship management, and the ability to operate independently in a fast-moving, data-driven environment.

Qualifications

• 5+ years building a commercial motion from scratch across business development, corp dev, or GTM.
• Strong track record of managing external relationships with senior stakeholders.
• Excellent business judgment and rapid value assessment of partnerships.
• Clear communicator, able to align cross-functional teams.
• Independent but collaborative, hands-on when needed.
• Thrives in fast-moving, ambiguous environments.
• Experience in AI, data infra, marketplaces, or high-growth tech.
• Familiar with data licensing, IP, or regulated data.
• Experience collaborating with Legal and Finance on complex agreements.

Responsibilities

• Map the supply side by identifying datasets and domains worth pursuing.
• Invent initial deal structures with Scale’s legal team.
• Close deals from outreach to signature.
• Bridge commercial efforts with technical teams to ensure data trainability.
• Build a repeatable pipeline after initial hands-on work.

Skills

Business development

Corp Dev

Commercial strategy

GTM strategy

External relationships

Executive communication

Independent operator

Hands-on building

AI/data infra

RL/synthetic data

Data licensing/IP

Legal/Finance partnerships

Job description

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. You'll work with Scale’s 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, you’d 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 didn't 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. 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:

$182,400—$228,000 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 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 [e-mail]. 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.*

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