About AfterQuery
AfterQuery is an applied research lab curating data solutions for foundation model development. We serve every frontier AI lab with the mission of delivering the best data to power the best models. In doing so, we can make expertise that once took a lifetime to build available to anyone who needs it.
Our customers are the ones building the foundation models themselves and our work sits directly in the loop of how those systems improve. This is a rare opportunity to join a company at a defining moment in AI. Forbes reported that we could be YC's fastest unicorn, reportedly raising at a $3.2 billion valuation. We're based in San Francisco and backed by leading investors including Altos Ventures, BoxGroup, and Y Combinator and angels from Google DeepMind, OpenAI, Anthropic, Meta Superintelligence Labs, and Microsoft AI.
Why Apply
Massive Opportunity: Forbes reported that we could be YC's fastest unicorn, reportedly raising at a $3.2 billion valuation, and we're not slowing down.
Founding Impact: You will own and architect core infrastructure systems that power our platform from the ground up.
Equity & Growth: Competitive salary and meaningful equity. As we scale, you’ll have the opportunity to shape the engineering organization and lead major technical initiatives.
Strong Team: Our founding team has experience from Citadel Securities, Meta, Google, Silver Lake, and Morgan Stanley — work alongside world-class engineers and researchers.
Overview
As the Data Acquisition Lead, you'll be the first hire developing AfterQuery's data acquisition strategy, responsible for sourcing, vetting, and acquiring real-world data assets. You'll build scalable systems for finding and negotiating the purchase of large data assets; verifying the content and quality of those assets; and altering / packaging those assets, as business needs require. You'll work across Ops, Research, and Engineering to determine what data assets to target and how to effectively obtain and process those assets.
Key Responsibilities
Data Acquisition Strategy: develop and continually refine AfterQuery's enterprise data-acquisition strategy, identifying where proprietary enterprise data can meaningfully improve frontier model training and prioritizing target industries and partners accordingly.
Deal Negotiation & Ownership: Personally lead negotiation of AfterQuery's highest-value, most complex enterprise data-purchase agreements, from term sheet through signature.
Vendor & Partner Management: Build and maintain a portfolio of enterprise data relationships, negotiating pricing, licensing terms, and renewal/expansion agreements.
Cross-Functional Partnership: Partner with Engineering, Ops, Legal, and Research to ensure acquired data meets technical and compliance requirements and translates into usable training assets.
Compliance & Governance: Ensure all data purchases meet legal, IP/copyright, and data-governance standards.
Reporting & Forecasting: Own the data-acquisition budget, pipeline, and forecasting, reporting progress and ROI to executive leadership.
Operational Support: Contribute to company-wide initiatives across building, analysis, coordination, and execution as AfterQuery scales.
Required Qualifications
1-3+ years of experience in enterprise data acquisition, strategic partnerships, corporate development, or data/vendor licensing negotiation, including people-leadership experience
Demonstrated track record personally negotiating and closing complex, high-value data-purchase agreements (seven figures or more)
Deep understanding of data licensing structures, data rights/IP considerations, and data governance and compliance frameworks
Excellent executive-level negotiation, communication, and relationship-building skills
High agency and strong work ethic; comfort operating with minimal direction in ambiguous, fast-moving environments
Genuine passion for AI and an entrepreneurial inclination
Demonstrated competitive success
Preferred Qualifications
Prior leadership experience in an AI training-data, data-licensing, data-marketplace, or data-brokerage organization
Existing network of enterprise data and content-owner relationships across target industries
Financial modeling and deal-economics expertise
Legal or compliance background in data rights and licensing
Experience scaling a data-acquisition function within a hypergrowth startup
Company Benefits (For Eligible Employees):
Health Insurance: Medical, Vision, Dental
401(k) with Employer Match
Daily Meals: Daily UberEats Stipend
Monthly Wellness Stipend
We are an equal opportunity employer committed to providing a workplace free from discrimination and harassment. Employment decisions are made without regard to legally protected characteristics under applicable federal, state, or local law.
We comply with applicable pay transparency requirements and provide compensation ranges based on the position, qualifications, experience, and other relevant factors. Reasonable accommodations are available to qualified individuals with disabilities and for sincerely held religious beliefs, as required by law. This job description is intended to describe the general nature and level of work performed and is not an exhaustive list of all duties, responsibilities, qualifications, or working conditions associated with the position. We reserve the right to modify this job description as business needs change.