Strategic Projects Lead - STEM

Posted Yesterday
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San Francisco, CA, USA
In-Office
150K-225K Annually
Entry level
Artificial Intelligence • Big Data
The Role
Lead strategic projects for AI data solutions, managing client relationships, specialized expert teams, dataset specifications, and end-to-end execution. Coordinate contributors across technical and professional domains while supporting operational initiatives that influence foundation model training and evaluation. The role requires advanced STEM expertise, quantitative reasoning, scientific research experience, strong leadership, entrepreneurial initiative, and familiarity with data-analysis programming and LLM workflows.
Summary Generated by Built In
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. We are YC's fastest unicorn, valued at $3.2 billion. 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: We are YC's fastest unicorn valued at $3.2 billion 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.

Key Responsibilities

Project and client management: Work with the world’s leading AI organizations to build next-generation data solutions that push the limits of model capability, while directly driving revenue.

Manage expert teams across domains: Lead and coordinate highly specialized contributors across fields like finance, software engineering, law, and more to create high-quality outputs at scale.

Shape how AI systems are trained: Design dataset specifications that directly influence how frontier models are evaluated and improved. Your taste and judgement will shape what foundation models become.

Drive high-impact execution end-to-end: Own critical projects from idea to delivery. From scoping, executing, iterating, and shipping in a fast-moving, high-stakes environment, you will touch it all.

Gain top tier operational experience: Support the team across a range of operational initiatives that will directly contribute to the future of AfterQuery. You will work across multiple parts of the business in the same week, ranging from building, analyzing, coordinating, and executing where needed most.

Required Qualifications
  • PhD (completed or ABD) in biology, chemistry, mathematics, data analytics/statistics, or a related STEM field — or equivalent demonstrated excellence as an IOI, IMO, or USAPhO medalist, ICPC or USACO finalist, or Putnam top 500 finisher

  • Background in scientific research, computational modeling, experimental design, or quantitative/statistical analysis within your field

  • Deep understanding of core fundamentals in your discipline along with strong quantitative and systems-level reasoning

  • High agency and strong work ethic; comfort defining problems and thriving with minimal direction in ambiguous situations

  • Demonstrated leadership excellence and strong communication abilities

  • Genuine passion for AI and an entrepreneurial inclination

  • Demonstrated competitive success (e.g., publications, research awards, fellowships, or the medals/finals listed above)

Preferred Qualifications
  • Prior experience with Python, R, or another language used for data analysis

  • Familiarity with how LLMs are trained, fine-tuned, or evaluated

  • Familiarity with AI tools and workflows

Company Benefits (For Eligible Employees):
  • Health Insurance: Medical, Vision, Dental

  • 401(k) with Employer Match

  • Daily Meals: Daily UberEats Stipend

  • Monthly Wellness Stipend

  • Commute Covered

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.

Skills Required

  • PhD completed or ABD in biology, chemistry, mathematics, data analytics/statistics, or a related STEM field, or equivalent competitive achievement
  • Background in scientific research, computational modeling, experimental design, or quantitative/statistical analysis
  • Deep understanding of core disciplinary fundamentals and strong quantitative and systems-level reasoning
  • High agency, strong work ethic, and comfort working with minimal direction in ambiguous situations
  • Demonstrated leadership excellence and strong communication abilities
  • Genuine passion for AI and an entrepreneurial inclination
  • Demonstrated competitive success through publications, research awards, fellowships, or qualifying academic competitions
  • Experience with Python, R, or another language used for data analysis
  • Familiarity with LLM training, fine-tuning, or evaluation
  • Familiarity with AI tools and workflows

AfterQuery Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about AfterQuery and has not been reviewed or approved by AfterQuery.

  • Fair & Transparent Compensation Pay is considered attractive when work is accepted, with public role postings and materials indicating strong compensation across expert projects and core employee roles. The experts track also highlights transparent pay rates and approval-linked payouts that do land.
  • Healthcare Strength Employee materials indicate medical, vision, and dental insurance are provided. Job postings reference a comprehensive package consistent with standard coverage.
  • Wellbeing & Lifestyle Benefits Daily meal stipends, commute support via Uber credits, and a monthly wellness stipend (including gym membership coverage) are prominently advertised. These lifestyle perks suggest attention to day-to-day convenience and wellbeing.

AfterQuery Insights

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The Company
200 Employees
Year Founded: 2024

What We Do

AfterQuery is an applied research lab curating data solutions to accelerate foundation model development.

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