Humanloop enables product teams to build robust agents and AI features with LLMs, using best-in-class tooling for Evaluation, Prompt Management, and Observability.

You'll get the chance to work really hard on a problem that matters alongside super-smart people. The environment is fast-paced with new features being shipped every week. The customers we get to work with are themselves inspiring AI startups and forward-thinking enterprises who are also trying to use this amazing new technology to build magical products and AI experiences.

Our principles:

• Humanity first – autonomy, not automation
• Creativity that ships
• Growth mindset – iterate and improve
• Jump into the cold water
• Humility + idea meritocracy

Learn more about us in this Youtube video How our AI Startup Grew 60x After a Pivot | Raza Habib, Jordan Burgess of Humanloop

A Frontend Product Engineer is customer-obsessed, full stack software engineer who can delivery a full product experience with a focus on the frontend.

We’re a small, smart and hard working team, working in a very fast moving space at the frontier of AI. It's crucial that you can quickly work throughout the stack to deliver product end-to-end while caring deeply about solving underlying customer needs. Meaningful impact is guaranteed.

It doesn’t matter what languages and tools you know when you join us, but it does matter that you can write clean, effective code and craft elegant solutions. We aim for a clean, simple modern stack, which is currently:

• Python backend (FastAPI, Postgres)
• TypeScript frontend (Next.js, React, Tailwindcss)
• AWS for most of our infrastructure

About you

• You care deeply about customer needs and solving them with product.
• You're excited by our mission and the potential of machine learning and artificial intelligence.
• You are able to, or want to be able to, work at every level of the stack.
• You’re excited by being one of the first employees in an early-stage company where you can have autonomy and impact.
• You want to grow. The success of our company is a function of the people in our team. Your growth rate will be directly causal to Humanloop's growth rate. We spend a lot of time thinking about each other’s success paths.
• You get excited about learning new things, writing blog posts and going to conferences to talk about all things product and engineering.
• You'll create components and design systems that scale
• You'll have good taste for when we build something in house, and where existing tools are appropriate
• You hold yourself and the rest of the team to a high bar and design experiences that are not just functional, but delightful to our users
• You are a product leader who comes up with great initiatives and product ideas, and not just someone who takes a feature and make it "functional".
• You communicate your thoughts and decisions clearly and proactively, and talk to users around the world constantly, knowing that their expectation may differ from your intuition.

Experience

We think that people with amazing ability can come from all sorts of backgrounds, not necessarily prestigious schools or companies. You primarily need to prove that you can write excellent, clean code and care deeply about building great product. You can demonstrate this through your own projects, OSS contributions or experience at other companies. When looking at your contributions, we value quality over quantity.

Offices in London and San Francisco

We find that in person time allows us to move faster, learn from each other and have more fun. Everyone is in the office on Tuesdays and Wednesdays. On other days you can choose to work from home or in the office. Our London office has most of product and engineering, and our new SF office is primarily focused on GTM.

We run a high-scale data service processing millions of AI generations daily, built with FastAPI (Python) on the backend and a data-intensive, visualization-heavy UI using TypeScript and React.

Our customers—AI teams at leading companies—expect top-tier performance, reliability, and intuitiveness. We aim to set the standard for design that enables product leaders and non-technical subject matter experts to seamlessly collaborate with developers on building AI.