At Oasis, we are making working with AI feel second nature. We’re building a workspace where people and agents develop the context, trust, and chemistry to do great work together.
Great teams learn by working together. They pick up on each other’s strengths, know when to step in, and develop rhythms that never make it into a document. Agents arrive with extraordinary capabilities, but little of that understanding. We repeat ourselves, rebuild context when we switch tools, and spend too much time helping them fit into the way we work.
Oasis gives agents a place to learn from the work itself. We’re turning daily collaboration into shared memory, reusable workflows, and feedback that improves the next run. That knowledge should carry across models and harnesses, with clear boundaries around what each teammate can access. Over time, every new agent should start with more of the team’s accumulated understanding.
What you’ll help build
The workspace is our starting point. The deeper work is figuring out what makes an agent a good teammate: how it understands its role, shares knowledge, follows through on a task, and knows when to act or ask for help. These questions connect product design, systems engineering, and the ways people actually work together.
- Shared memory with clear permissions
- Reliable handoffs and task completion
- Workflows that improve across models and harnesses
- Clear insight into outcomes and costs
Joining Oasis means helping define how people and agents work together. There are foundational decisions to make and open questions to answer by building, putting the product to work, and learning from what happens.
You’ll like it at Oasis if you:
- Care about the details that make software feel natural to use
- Are curious about how teams communicate, build trust, and get things done
- Enjoy working through hard technical and product questions together
- Write clearly, welcome feedback, and learn by putting your ideas into practice
How we work
- Start with people. We take our cues from how good teams already work: clear roles, shared understanding, and knowing what to share, what to keep private, and when to ask.
- Build for outcomes. We care about whether work gets done reliably. We want to understand what succeeded, what stalled, and how to make the next attempt better.
- Learn together. Chemistry comes from practice. We value the observations, conversations, and feedback that help a team improve with every cycle.
- Make room for flow. Good collaboration gives people the context and confidence to move. We’re building toward that feeling for our own team and for everyone who works in Oasis.
Let’s talk
Interested in joining Oasis? Tell us what you’d like to work on and share something you’re proud of. You don’t need to fit a specific job title—we’d love to hear from you.
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