Job Description
We're seeking a talented and motivated full-time Software Engineer, AI Enablement to help Tailscale 's engineering organization get the most out of AI-assisted development. You'll join a small, high-leverage team reporting to our co-founder, working alongside our first AI enablement engineer to build the tools, workflows, and practices that help every engineer at Tailscale build faster and more safely with AI. This is a foundational role — you'll have real latitude to shape what AI enablement means here as we scale, with direct visibility into how the whole engineering org adopts these tools.
Key Responsibilities
- Partner with engineering leadership, our co-founder and members of technical staff to define Tailscale 's internal AI-enablement priorities and roadmap.
- Work with the team that’s building Aperture by Tailscale – our AI gateway that we both use internally and provide as a product.
- Build, maintain, and iterate on internal tools, workflows, and shareable practices (skills, development environments, internal tooling) that help engineers use coding agents like Claude Code, Codex, OpenCode, and Pi more effectively.
- Evaluate new AI models, agents, and tools, and make clear recommendations on what to adopt and why.
- Work directly with both engineering and non-engineering teams across the company to find high-leverage opportunities to apply AI to their day-to-day work — this is a support/enablement function, not a standalone product team, so success means other teams shipping faster because of what you've built.
- Develop infrastructure, guardrails, review practices, and documentation for the safe, secure use of AI-generated code.
- Act as an internal advocate for effective AI practices — through documentation, internal talks, and hands-on coaching — meeting teams where they are rather than mandating a single tool or workflow.
- Track adoption and measure the real impact of AI tooling on engineering velocity and quality, and report back to leadership.
- Expect the day-to-day to span hands-on building, internal teaching/evangelism, and prioritization — on a team this size, you'll move between all three regularly.
What We Are Looking For
- 5+ years of professional software engineering experience
- Genuine, daily, hands-on fluency with modern AI coding tools (Claude Code, Codex, Pi, or similar) — real power-user experience, not occasional use
- Experience building and shipping internal tools or developer-facing automation
- Strong written and verbal communication and internal advocacy skills — comfortable teaching, writing, and influencing engineers at very different comfort levels with AI tooling