afterquery

Strategic Projects Lead - Legal

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  • onsite
  • FullTime
  • Operations
  • San Francisco
Work arrangement
onsite
Employment
FullTime
Stated compensation
USD 150,000–225,000 1 YEAR
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Employment type
FullTime
Compensation
USD 150,000–225,000 1 YEAR
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Original job description

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About AfterQueryAfterQuery 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 ApplyMassive 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.
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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. ResponsibilitiesProject and client management: Partner directly with frontier AI labs on their legal data and evaluation needs — scoping the problem, translating it into a deliverable program, and driving revenue. Manage expert contractor teams: Recruit and lead practicing attorneys and specialists across practice areas and jurisdictions — litigation, corporate and M&A, regulatory, IP, tax, employment — and hold a high bar on the quality of what they produce. Shape AI training: Design the specifications behind legal reasoning datasets, contract and document review tasks, statutory and case-law interpretation problems, multi-step research workflows, and the rubrics used to grade them. Define what "correct" means: Build the grading standards and evaluation criteria that let a lab distinguish real legal reasoning from confident-sounding error, including citation integrity and jurisdictional accuracy. End-to-end execution: Own projects from scoping through final delivery, in a fast-moving environment where the spec often does not exist yet. Operational impact: Support initiatives across building, analysis, and coordination  Required Qualifications3+ years practicing law at a leading firm, in-house at a sophisticated company, a government or regulatory body, or a legal AI startup. JD (or equivalent qualification) and a track record of substantive legal work: you have drafted, negotiated, litigated, or advised, not just coordinated. Deep command of legal reasoning and research methodology, and strong opinions about what separates rigorous analysis from surface-level answers. High agency and the ability to execute in ambiguity; comfort defining the problem before solving it. Analytical ability; can break down complex legal problems and work flows into component parts. Genuine passion for AI and interest in entrepreneurship. Demonstrated track record of competitive success. Strong leadership and communication skills. Comfort with data and AI tools.  Preferred QualificationsPython proficiency or hands-on experience with data analysis. Experience with legal technology, e-discovery, contract analytics, or AI-assisted legal workflows. Depth in a technically demanding practice area (securities, antitrust, tax, patent prosecution, complex regulatory). Multi-jurisdictional or non-US legal experience. Experience using AI tools to automate workflows and build products.  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.
Original formatting and links
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.

Responsibilities
  • Project and client management: Partner directly with frontier AI labs on their legal data and evaluation needs — scoping the problem, translating it into a deliverable program, and driving revenue.

  • Manage expert contractor teams: Recruit and lead practicing attorneys and specialists across practice areas and jurisdictions — litigation, corporate and M&A, regulatory, IP, tax, employment — and hold a high bar on the quality of what they produce.

  • Shape AI training: Design the specifications behind legal reasoning datasets, contract and document review tasks, statutory and case-law interpretation problems, multi-step research workflows, and the rubrics used to grade them.

  • Define what "correct" means: Build the grading standards and evaluation criteria that let a lab distinguish real legal reasoning from confident-sounding error, including citation integrity and jurisdictional accuracy.

  • End-to-end execution: Own projects from scoping through final delivery, in a fast-moving environment where the spec often does not exist yet.

  • Operational impact: Support initiatives across building, analysis, and coordination

 Required Qualifications
  • 3+ years practicing law at a leading firm, in-house at a sophisticated company, a government or regulatory body, or a legal AI startup.

  • JD (or equivalent qualification) and a track record of substantive legal work: you have drafted, negotiated, litigated, or advised, not just coordinated.

  • Deep command of legal reasoning and research methodology, and strong opinions about what separates rigorous analysis from surface-level answers.

  • High agency and the ability to execute in ambiguity; comfort defining the problem before solving it.

  • Analytical ability; can break down complex legal problems and work flows into component parts.

  • Genuine passion for AI and interest in entrepreneurship.

  • Demonstrated track record of competitive success.

  • Strong leadership and communication skills.

  • Comfort with data and AI tools.

 Preferred Qualifications
  • Python proficiency or hands-on experience with data analysis.

  • Experience with legal technology, e-discovery, contract analytics, or AI-assisted legal workflows.

  • Depth in a technically demanding practice area (securities, antitrust, tax, patent prosecution, complex regulatory).

  • Multi-jurisdictional or non-US legal experience.

  • Experience using AI tools to automate workflows and build products.

 

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.

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