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.
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.
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
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
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
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
#LI-Remote
BD
University of Arkansas System
University of Arkansas System
UAMS - University of Arkansas for Medical Sciences
Columbia Sportswear Company
Obvious