Who We Are

We build Specific Intelligence for the enterprise: agents that continuously learn from a company's processes, data, expertise, and goals. Today, there's a massive gap between what AI models can do in isolation and what they reliably do inside real businesses; these systems fail because they don't adapt to feedback. We're building the continual learning layer: a platform that captures context, memory, and decision traces across the enterprise, providing an environment where specialized agents learn how to do real work.

Why we're excited: We get to work at a rare intersection. Our product team builds the platform powering a new generation of digital coworkers. Our research team pushes the frontier of post-training and reinforcement learning to create new product experiences. Our applied research engineers sit side-by-side with customers as they ship models into production. This combination of strong product, deep research, and boots on the ground is what we believe it takes to bring AI to the enterprise. We are product-led, research-enabled, and forward-deployed.

Our Team: We are a team of engineers, researchers, and operators. Many of us are former founders. We've built RL infrastructure at OpenAI, data foundations at Scale AI, and systems at Together, Two Sigma, and Watershed. We work with F50 customers in addition to DoorDash, Mercor, and Cognition. We’re fortunate to be backed by Benchmark, Sequoia, Lux, and others.

Who Thrives Here: We're looking for people who are excited about applying novel research and complex systems to real-world problems. You should be comfortable navigating unfamiliar environments quickly, whether that's a new codebase, a new customer's data architecture, or a problem domain you've never seen before. You should also genuinely enjoy working with customers: listening, empathizing, and understanding how work actually gets done in their organizations. Former founders, people who've built a lot of side projects, or anyone who's shown they can own something end-to-end, tend to do well here.

The Role

As a product engineer, you’ll build the platform that powers a new generation of digital coworkers, empowering human knowledge workers with the same type of leverage that coding agents give developers today. This is a zero-to-one role where you’ll ship projects end-to-end in our continual learning platform and collaborate tightly with both Applied Research and Research Systems, ultimately helping to define a new category of technology. This ranges across the full stack, including cloud-hosted sandbox environments, enterprise-grade data connectors, a rich agentic knowledge space, human-agent collaboration workflows, and the interfaces that tie it all together. Everything we ship is in direct pursuit of solving big-ticket customer problems.

What You'll Do

• Design and build the core platform

• Create interfaces that make complex agent capabilities

• Build integrations with external systems

• Own features from conception through production, iterating quickly based on real usage

• Work with research to productionize frontier models and integrate them into the platform

What We're Looking For

• Strong full-stack engineering skills (TypeScript, Python, modern web stack)

• Exceptional taste in engineering craft, interface design, or product intuition

• A track record of shipping software that people actually use

• Comfort building across the stack: cloud infrastructure, data pipelines, and polished front-end experiences

• The hacker mindset: you build side projects, you prototype fast, you're obsessed with feel and craft

Strong Candidates Also Have

• Experience building AI-powered products or agent systems

• Background with cloud infrastructure, sandboxed environments, or dev tools

• Familiarity with file system abstractions, data sync pipelines, or workflow orchestration

• Previous experience as a founder or early engineer at a zero-to-one company

• Strong opinions on what makes software feel great with craft to back them up

Logistics

This role is based in San Francisco. We work in-person at our office in the Design District. We offer competitive compensation and equity, generous health benefits, unlimited PTO, paid parental leave, daily lunches and dinners, transportation, and relocation support. We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the process with you.

We encourage you to apply even if you do not believe you meet every single qualification. As set forth in Applied Compute’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.