Full Stack Product Engineer

Department: Engineering

Location: United States

Compensation: $220K – $300K • Offers Equity

Employment Type: FullTime

Full-Stack Product Engineer

About Obvious

We’re building an AI‑native workspace—an operating system for work that puts co‑intelligence at the center. Start with data or an idea, describe your goal, and Obvious goes to work: running analysis, searching the web, writing documents, generating tables, designing presentations, visualizing data, building dashboards, and more.

As Steve Jobs imagined the personal computer as a bicycle for the mind, Obvious imagines AI as a garden for the mind. Less mechanical acceleration. More organic cultivation.

What if, instead of just vibe coding, you could vibe‑work? What if getting from idea to done wasn’t so opaque, stubborn, and high‑latency?

What if there was a way to consistently deliver work that feels like it came from the best version of you on your best day?

That’s Obvious.

Why we're hiring for this role

While we've made significant progress with our AI features like search, data enrichment, modes, artifact generation, coding, and more, we're just scratching the surface of what's possible.

We need engineers who can bridge the gap between powerful AI models and production-ready experiences that solve real user problems.

This isn't just about writing prompts – it's about building resilient systems that can handle the unique challenges of working with AI at scale and can solve some of the industry's most interesting problems like memory, agent-to-agent collaboration, non-deterministic repeatability, and more.

We are small and talent-dense. Among our founding team, we have world-class builders, former founders, and leaders from companies like Netflix, Google, Uber, Meta, Dropbox, Instacart, Shopify, Apple, Datadog and Twitter (X). If you're excited to solve some of the world's most challenging problems and build Al that can deliver on real-world objectives, join us.

In this role you will:

• Ship at least 3 PRs on your first day

• Drive full-stack feature development from conception to deployment, taking ownership of key product initiatives

• Collaborate on design and implementation of user-facing features that improve user experience

• Build robust, scalable, and performant web applications using modern frontend and backend technologies

• Identify opportunities for optimization and enhancement in existing systems

• Contribute to architectural decisions that shape the future of our product

• Set the industry standard for the UX of agent products

• Optimize prompts, fine-tune model behavior, and evaluate performance

You will thrive in this role if you have:

• Willingness to work hard, move fast and grow quickly in a rapidly changing environment

• An exceptional ability to learn

• Solid full-stack foundation: from building React components to developing APIs to integrating with third-party services

• Strong proficiency with TypeScript, React, and modern frontend development practices

• Experience working directly on user-facing products and understanding user needs

• Strong problem-solving skills and attention to detail

• Excellent communication skills and ability to work cross-functionally

• Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed

• Build tools to accelerate your own (and your teammates') workflows, but only when off-the-shelf solutions won't do

• Experience with Al/LLM integration in applications

Nice to have:

• Background building coding agents, multi-agent systems, or working on productivity tools

• Previous experience at a high-growth startup

• Contributions to open-source projects

• Strong opinions on agent orchestration and designing system prompts

This role may not be a fit if:

• You prefer working exclusively on backend systems without user interaction

• You're uncomfortable with the pace and changing priorities of a startup environment

• You require highly structured requirements and aren't comfortable with ambiguity

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