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.
As one of our core engineers, you’ll be critical in creating data infrastructure that will be shaping the future development of frontier models. You will be one of our first hires, and will get a lot of responsibility, owning entire projects end-to-end – meaning you can see your impact instantly.
Why ApplyMassive Opportunity: We were one of the fastest growing YC companies in our batch, and we believe we can be one of the fastest growing YC companies of all time
Founding role—you’ll define and own our data infrastructure from day one.
Equity & Growth – Competitive salary + equity. As we scale, you’ll have the opportunity to lead and grow an engineering team.
Strong Team: Founding team has experience from Citadel Securities, Meta, Google, Silver Lake, and Morgan Stanley – get to work with the best :)
Build and scale complex data capturing workflows across web (Next.js) and desktop (Python)
Architect and optimize data pipelines that experience high throughput, with heavy loads
Collaborate with the founding team to define product strategy and ship features fast.
Set engineering best practices and lay the groundwork for future team growth.
Proficiency in JavaScript (Next.js) and Python, with demonstrated experience building full-stack web applications
Experience with serverless architecture and cloud functions for implementing heavy data processing (GCP/AWS)
Storage, caching & search: Hands‑on with Redis (caching), Elasticsearch (indexing), and message queues (Kafka/RabbitMQ) to build scalable, low‑latency pipelines.
Any background in AI research, LLM evaluation, or human‑in‑the‑loop systems
Experience getting your ideas into production (founder experience preferred)
$180-220K base + dataset commission bonus (4% Gross Profits; $100k-400k w/ no cap) + equity (200-300K vested over 4 years)
Comprehensive benefits (UberEats and ride share stipend, comped Equinox, 401K with match, health, dental, and vision insurance)
Skills Required
- Proficiency in JavaScript (Next.js) and Python, with experience building full‑stack web applications
- Experience with serverless architecture and cloud functions for heavy data processing (GCP/AWS)
- Hands‑on experience with Redis (caching), Elasticsearch (indexing), and message queues (Kafka/RabbitMQ) to build scalable, low‑latency pipelines
- Background in AI research, LLM evaluation, or human‑in‑the‑loop systems
- Experience getting ideas into production
- Founder experience
What We Do
AfterQuery is an applied research lab curating data solutions to accelerate foundation model development.
