Scale AI

Data Acquisition Lead, Frontier Environments

Scale AI$182K — $228K *
Business Services
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years in business development, corporate development, commercial strategy, or early-stage go-to-market (GTM) roles.
  • Proven ability to manage critical external relationships.
  • Strong business acumen with quick partnership evaluation skills.
  • Effective communication with senior stakeholders.
  • Ability to work independently while staying connected with cross-functional teams.
  • Practical approach to building new functions from scratch.
  • Comfort in fast-paced, ambiguous environments.
  • Experience in AI, data infrastructure, or tech marketplaces.
  • Familiarity with data licensing and regulatory data.
  • Collaboration experience with Legal and Finance teams.

Responsibilities

  • Map the supply side to identify organizations holding critical data.
  • Invent deal structures in conjunction with the legal team for price negotiation.
  • Own the process from initial outreach to final signature.
  • Engage with technical teams to discuss dataset training and value.
  • Transform initial learnings into a scalable, repeatable process.

Benefits

  • Comprehensive health, dental, and vision coverage.
  • Retirement benefits.
  • Learning and development stipend.
  • Generous paid time off (PTO).
  • Potential commuter stipend.
Full Job Description
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. 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:

$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 Scale AI

Scale AI is an artificial intelligence company that provides data annotation services to improve machine learning algorithms. The company's platform offers a range of services including image annotation, text annotation, and 3D annotation. Scale AI was founded in 2016 and is headquartered in San Francisco, California.
Learn more about Scale AI
Size
500 employees
Industry
Founded
2017

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