About the company
Web data infrastructure for fast-growing tech teams. It's a mid-market, self-service platform built for speed to value, so teams move from idea to implementation without procurement slowing them down. The culture matches the product: decisions move at the speed of the idea, and people are trusted to test, iterate, and fix what's closest to them.
The Team
You’ll join a team focused on shaping our AI direction through hands-on exploration, technical insight, and a strong understanding of developer needs. Working closely with the fast-moving AI agent ecosystem, the team tests new tools in practice, turns findings into clear product recommendations, and helps ensure our products, website, documentation, and positioning resonate with a technical audience.
Responsibilities
- Continuously research and test AI agent tools, developer products, and emerging infrastructure players, then turn findings into clear recommendations for our product and go-to-market direction.
- Use our products end-to-end from a developer perspective, auditing the experience across product flows, website, docs, and technical messaging to identify friction, gaps, and misleading positioning.
- Track changes in the AI and agent ecosystem, including MCP, browser-use standards, agent-to-agent patterns, and new developer workflows, and highlight what matters most for our product strategy.
- Maintain a living view of the agent tooling landscape, including frameworks, SDKs, key competitors, and emerging categories relevant to proxies, scraping, and developer infrastructure.
- Identify opportunities to connect new agent-facing use cases and integrations with our existing proxy and scraping capabilities.
- Represent our technical direction in external communities by engaging with developers, following open-source conversations, and sharing ecosystem insights back with internal teams.