Browserbase

HQ
San Francisco
35 Total Employees

Jobs at Browserbase

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Recently posted jobs

4 Days AgoSaved
In-Office
San Francisco, CA, USA
Artificial Intelligence • Cloud • Software
Own the enterprise sales motion: build outbound pipeline, run full sales cycles, negotiate complex contracts, create scalable sales playbooks, demo the product with Sales Engineer support, and provide market feedback to product and leadership. Represent Browserbase at events and track sales metrics and forecasts.
14 Days AgoSaved
In-Office
San Francisco, CA, USA
Artificial Intelligence • Cloud • Software
Design and ship end-to-end product experiences for a developer platform, create responsive accessible interfaces, build reusable design systems, prototype in Figma and code, and collaborate with engineering and product from concept to launch.
14 Days AgoSaved
In-Office
San Francisco, CA, USA
Artificial Intelligence • Cloud • Software
Design and implement developer-facing product experiences, translating Figma designs into responsive, accessible React/Next.js prototypes. Own and scale a reusable design system, collaborate with product and engineering from concept to launch, and elevate visual craft and consistency across the platform.
16 Days AgoSaved
In-Office
San Francisco, CA, USA
Artificial Intelligence • Cloud • Software
Develop and maintain a web automation platform, ensuring high performance and scalability while collaborating with the engineering team to establish best practices.
19 Days AgoSaved
In-Office
2 Locations
Artificial Intelligence • Cloud • Software
Build and scale Browserbase's dashboard and web presence, design complex UI and data visualizations, collaborate cross-functionally, define roadmap priorities, enforce frontend performance and accessibility best practices, and document and share knowledge.
19 Days AgoSaved
In-Office
San Francisco, CA, USA
Artificial Intelligence • Cloud • Software
Lead and scale a Customer Engineering team as a player-coach: build processes, runbooks, and internal tooling; escalate and troubleshoot complex web automation and AI integrations; define SLAs and dashboards; and translate technical trends into product feedback while remaining hands-on.