AfterQuery Logo

AfterQuery

Strategic Projects Lead - Legal

Posted One Month Ago
Be an Early Applicant
In-Office
San Francisco, CA, USA
150K-225K Annually
Mid level
In-Office
San Francisco, CA, USA
150K-225K Annually
Mid level
Lead legal-focused projects for frontier AI labs: scope client needs, recruit and manage practicing attorneys, design legal reasoning datasets and evaluation rubrics, define grading standards for legal correctness, and own end-to-end delivery in a fast-moving environment.
The summary above was generated by AI
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.

Similar Jobs

4 Minutes Ago
Easy Apply
In-Office
Easy Apply
104K-156K Annually
Senior level
104K-156K Annually
Senior level
Aerospace • Hardware • Robotics • Software • Manufacturing
Develop manufacturing processes, work instructions, and work orders for avionics hardware and wire harnesses. Lead manufacturing readiness reviews, provide design-for-manufacturability feedback, troubleshoot production issues, resolve non-conformances, and implement corrective actions. Partner with supply chain and quality teams to ensure component quality. Analyze yield and process data, drive continuous improvement, and maintain capacity and demand models.
Top Skills: Erp SystemsIpc StandardsPcbasPlm SystemsWire Harnesses
5 Minutes Ago
Easy Apply
Hybrid
San Francisco, CA, USA
Easy Apply
Senior level
Senior level
Fintech • Payments • Financial Services
Build and launch scalable software, APIs, and tooling for Adyen’s payments platform. Own projects from requirements through production, improve platform robustness and performance, and collaborate across teams and time zones. The role requires hands-on Java development, REST APIs, webhooks, SQL/PostgreSQL, and experience with complex distributed systems.
Top Skills: Distributed SystemsJavaPostgresRest ApisSQLWeb ServicesWebhooks
8 Minutes Ago
Hybrid
Pleasanton, CA, USA
142K-178K Annually
Senior level
142K-178K Annually
Senior level
Cloud • Fintech • Information Technology • Machine Learning • Software • App development • Generative AI
Drive BlackLine customer adoption, expansion, and retention by partnering with Customer Success and Account Managers. Analyze customer processes, design tailored optimization solutions, provide consultative guidance, and support digital transformation. Deliver thought leadership through videos, webinars, and strategy sessions while maintaining deep expertise in BlackLine, accounting, internal controls, and process optimization. Mentor colleagues and develop reusable process optimization resources.
Top Skills: Blackline

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account