The team is releasing features to customers multiple times a day, but our vision is bigger than even we can handle, so we'd love to add to our team.
Check out our open positions or reach out to us directly if you're interested in building the future of work.
San Francisco · In Person · Full Time
$150K – $250K plus Equity
San Francisco · In Person · Full Time
$150K – $250K plus Equity
San Francisco · In Person · Full Time
$150K – $250K plus Equity
San Francisco · In Person · Full Time
We're looking for seriously productive people who can keep up with the pace of AI-native development. We work hard, and we're compensated appropriately with early team equity.
We promote a healthy mix of autonomy, collaboration, accountability, and responsibility.
We're fast, and maintain a high bar of taste, and craft while we deliver. We pay attention to the details that let customers know we give a shit.
Our team is always learning and striving to be the best in the world at what we do.
We maintain a friendly, merit-driven atmosphere, valuing work-life balance and getting things done.
In today's fast-paced world, AI has dramatically accelerated software delivery. However, this speed often leads to a new problem: teams building the wrong things faster than ever before. This is due to:
Product teams are overwhelmed by fragmented workflows, switching between numerous tools like ChatGPT, Google Docs, Figma, and JIRA. This leads to busy work and context switching, hindering efficiency.
Static documents (like PRDs and OKR sheets) quickly become outdated, causing a disconnect between strategic “why” and daily execution. This misalignment wastes newfound speed and creates dangerous inefficiencies.
Engineers, now incredibly fast with AI tools, need a constant stream of clear direction and context. Without it, they can't sustain their pace and may build features that aren't truly needed.
We work with modern, battle-tested technologies that enable us to move fast and scale efficiently:
for client-server applications with modern React patterns
services and API architecture
for PostgreSQL, GraphQL, and Realtime
for k8s, compute, and storage
for global performance and security
for machine learning