Jobs / United States / Tailscale
Software Engineer, AI Enablement
Tailscale · 🇺🇸 Location unlisted
Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal — ask the recruiter.
- No government sponsor record hereThis employer posted directly and does not match a government sponsor register.
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Tailscale paid sponsored hires in similar roles1 certified filing for “Director of User Research” (Software Quality Assurance Analysts and Testers) in CA: $211k–$211k, median $211k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
Or apply yourself on the official page →
Why not apply?
No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.
SponsorApply flags time-wasters so your applications go where they can land. These come from the posting's own wording — read the original listing to confirm. See better-fit alternatives →
Sponsor Radar — Tailscale
This employer posted directly and does not match a government sponsor register.
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Tailscale →
About the role
Thank you for considering Tailscale. If this job description resonates with you, please apply. Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic! About Tailscale Tailscale is making safe connection effortless by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital. About the Role 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 and Tailscale's technical staff to define and drive our internal AI-enablement roadmap. • Work closely with the team building Aperture by Tailscale, our AI gateway used both internally and offered as a product. • Build and iterate on the tools, workflows, and shared practices that help engineers get real value from coding agents — and evaluate new models and tools, making clear calls on what we adopt. • Partner with engineering and non-engineering teams to find high-leverage opportunities to apply AI — this is a support function, so success means other teams shipping faster because of what you've built. • Establish the guardrails, review practices, and documentation that make AI-generated code safe to ship, and act as the internal advocate who helps teams adopt good practices without mandating a single tool. • Track adoption and measure the real impact of AI tooling on velocity and quality, and report back to leadership. 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 • A balanced approach — trying to get people to use AI effectively and safely where appropriate. We don't have an 'AI mandate'; we believe that if we make AI both easy to use and safe, people will choose to use it when appropriate. • Comfort with ambiguity and self-directed prioritization on a small, still-forming team • Product or systems thinking — able to identify and prioritize high-leverage opportunities, not just execute a pre-set roadmap Nice to Have • Prior experience in developer experience, platform engineering, or internal tooling • Experience evaluating or benchmarking LLMs and coding agents • Experience with a systems language such as Go or Rust, in addition to Python • Background in security or code-review practices — helpful for reasoning about AI/agent-generated code, though you don't need to b