Product Engineer

About Beam

Beam AI builds self-learning AI agents and an operating system where intelligence grows through autonomous discovery. We transform enterprises from AI-curious to AI-native organizations with automation that delivers results today and learns to improve itself over time.

Join us in shaping a future where AI continuously discovers, adapts, and makes work more meaningful.

About the Role

As a Product Engineer at Beam you'll build features end to end, decide how they should work, and answer for what you ship.

You'll often start from an incomplete problem instead of a specification. We expect you to work out what needs solving, choose an approach, and get something in front of users quickly.

The work spans traditional software and AI. You'll build interfaces, APIs, backend services and agent capabilities, while watching reliability, cost, latency and the experience they create.

Responsibilities

• Build product features end to end, from schema to interface.
• Turn a loosely defined problem into something users can try, quickly.
• Build agent capabilities: tool calling, retrieval, state, memory, streaming, guardrails.
• Learn how your features behave in production and make them more reliable.
• Work directly with Product and Design, and stay close to customer feedback.
• Watch the cost and latency of what you ship.
• Take early-stage ideas from nothing to a working MVP.

Requirements

• 4+ years building and shipping software that customers use.

• You've owned features from problem definition through production.
• Full-stack range across backend services, databases, APIs and interfaces.
• Working knowledge of LLMs: tool calling, retrieval, context, streaming, and how models differ.
• You notice when something feels wrong in the product, and you say so before it ships.
• You're comfortable with incomplete requirements and light process.
• Strong fundamentals: testing, debugging, and operating what you ship.
• You use AI coding tools daily and answer for what they produce.

Nice to Have

• Experience with TypeScript, React, Next.js, Python, Postgres or cloud infrastructure.
• Experience at an early-stage startup or a high-ownership engineering environment.
• Experience with agent evaluation, observability or production AI systems.
• Side projects, open-source contributions or technical writing that show how you think.

Not a Good Fit If

• You want the specification handed to you.
• You'd rather own one layer of the stack than a whole feature.
• You're looking for process to tell you what good looks like.
• AI isn't already part of how you build.

Benefits

At Beam, we're building an environment where ambitious people can do their best work, with clarity, purpose, and room to grow. We're thoughtful about what we build, how we work, and who we hire. The problems we're solving are real. The systems we're building are complex. And the people here care deeply-about craft, about speed, and about doing work that actually matters.

We offer competitive compensation and benefits, equity, flexible working arrangements, work-from-anywhere, parental leave, and the opportunity to grow with a team that values high standards, meaningful work, and learning by doing.

You won't find rigid hierarchies or endless process here. You'll find high trust, high standards, and a team driven by curiosity, ownership, and long-term thinking.

What you can expect from us

Our culture is shaped by our values in action:

• We think in agentic workflows, uses AI tools daily, and looks for leverage through automation.
• We ship fast, learn faster, and favour experimentation over perfection.
• We invest in high-impact work and value ownership.
• We align on outcomes while giving people autonomy.
• We seek clarity, welcome feedback, and continuously improve.

If this is the kind of work you want to do and the kind of team you want to build with, we'd love to hear from you.

Using AI in the Application Process: We encourage candidates to use AI thoughtfully throughout the application process. AI can support research and preparation, but we want to understand your own thinking, experience, and perspective.

If this is the kind of work you want to do and the kind of team you want to build with, we'd love to hear from you.