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 were 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.
As one of our Latin American engineers, you’ll be critical in creating data infrastructure that will be shaping the future development of frontier models. You will get a lot of responsibility, owning entire projects end-to-end – meaning you can see your impact instantly.
ResponsibilitiesDesign and build scalable systems, focusing on our AfterQuery Experts site
Collaborate across research, product, and design to ship features quickly without sacrificing quality
Write clean, maintainable code and contribute to documentation
Participate in code reviews and design discussions
Solve real-world scalability and reliability challenges
Contribute to the core infrastructure powering data and evaluation for the world's leading AI labs
Required QualificationsIdeally 5+ years of experience
Strong coding fundamentals in Node.js and TypeScript, Python, and/or Go
Deep understanding of distributed systems, scalability challenges, and system design
Familiarity with cloud platforms such as GCP or AWS, Kubernetes, APIs, and NoSQL databases
Ability to reason about trade-offs and balance speed versus reliability under pressure
Active GitHub with real projects demonstrating you are a builder at heart
Works autonomously and collaboratively without burning out under heavy load
Proactive, identifies problems and drives solutions without being told to
High-output and high-accountability mindset, can work banker hours when needed
Strong bias toward delivering simple solutions to complex problems
Strong written and verbal communication skills
Can clearly and compellingly articulate why they want to join a startup and work in AI now
Preferred QualificationsBackground as a founding engineer at a high-growth startup
Ex-founder of a technically sophisticated and complex product
Has trialed or succeeded in past fast-paced startup roles with strong references
Skills Required
- 5+ years of experience
- Strong coding fundamentals in Node.js and TypeScript, Python, and/or Go
- Deep understanding of distributed systems, scalability challenges, and system design
- Familiarity with cloud platforms such as GCP or AWS, Kubernetes, APIs, and NoSQL databases
- Ability to reason about trade-offs and balance speed versus reliability under pressure
- Active GitHub with real projects demonstrating you are a builder
- Works autonomously and collaboratively without burning out under heavy load
- Proactive, identifies problems and drives solutions without being told to
- High-output and high-accountability mindset, can work banker hours when needed
- Strong bias toward delivering simple solutions to complex problems
- Strong written and verbal communication skills
- Can clearly and compellingly articulate why they want to join a startup and work in AI now
- Background as a founding engineer at a high-growth startup
- Ex-founder of a technically sophisticated and complex product
- Has trialed or succeeded in past fast-paced startup roles with strong references
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.
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