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. Since raising our $30M Series A at a $300M valuation, AfterQuery has grown well over a $100M revenue run rate.
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:
We are one of the fastest-growing YC companies in our batch, and we believe we can become one of the fastest-growing YC companies of all time.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.
You'll work directly with the world's leading AI organizations to build next-generation data solutions, managing expert teams across domains like finance, software engineering, and law to produce high-quality outputs at scale. You'll shape dataset specifications that directly influence how frontier models are evaluated and improved, owning critical projects end-to-end from scoping through delivery in a fast-moving, high-stakes environment. Along the way, you'll gain top-tier operational experience, working across multiple parts of the business — building, analyzing, coordinating, and executing wherever it's needed most.
ResponsibilitiesProject 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 software engineering, data science, and machine learning.
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 Qualifications2+ YOE in a top-tier tech company (FAANG, frontier AI lab) or quantitative trading firm
Background in software engineering, ML engineering, AI research, or computer science
High agency, drive, and a strong work ethic; thrive in ambiguity and execute with minimal direction
Passion for AI and interest in entrepreneurship; enjoy experimenting with new tools (experience with Claude Code is a plus)
Competitive nature and demonstrated past success
Strong leadership experience and excellent written and verbal communication skills
Thrive in fast-moving, high-impact environments with bias towards action, while balancing attention to detail
Proficiency in Python and comfort writing production-quality code
Preferred QualificationsTechnical skills (coding, scripting, or working with data) or experience using AI tools to automate workflows, conduct research, or build products
Skills Required
- 2+ years of experience at a top-tier tech company (FAANG, frontier AI lab) or quantitative trading firm
- Background in software engineering, ML engineering, AI research, or computer science
- Proficiency in Python and ability to write production-quality code
- Strong leadership experience and ability to manage cross-functional expert teams
- Excellent written and verbal communication skills
- High agency, drive, ability to thrive in ambiguity, and bias toward action
- Passion for AI and interest in entrepreneurship
- Experience with Claude Code
- Bonus: technical skills (coding, scripting, or working with data) or using AI tools to automate workflows and research
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.
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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.
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Healthcare Strength — Employee materials indicate medical, vision, and dental insurance are provided. Job postings reference a comprehensive package consistent with standard coverage.
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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
What We Do
AfterQuery is an applied research lab curating data solutions to accelerate foundation model development.
