Requirements
- Senior engineer who has shipped real software to real users.
- An engineering degree or self-taught, either is fine. What matters is the body of shipped work.
- Founder or near-founder experience. You have founded or co-founded a tech startup (B2B SaaS preferred but not required), or operated as a near-founder with full ownership of a product. You know what it costs to ship.
- AI-native ways of working. Daily, hands-on use of agentic coding tools. You build with AI by default. You have a clear point of view on where these tools are strong, where they're brittle, and how to wire them into a real codebase without creating maintenance debt.
- Polyglot pragmatism. You can work across stacks. You've shipped in at least two languages in production. You're not religious about any of them. You can read an unfamiliar codebase and be useful inside a week.
- Comfort with messy, legacy code. Many of our BUs run mature, established products with rich histories. You can work inside that reality and choose intelligently between greenfield, brownfield, and 'greyfield' (a clean rebuild wired into existing UI and APIs).
- Direct customer exposure. You're comfortable demoing to customers, watching them use what you built, and changing it on the spot.
- 3 to 8 years of experience, typically in engineering, founding, or hybrid product/engineering roles. Probably did a stint at a larger company and got frustrated.
- Comfort with ambiguity and jumping between BUs, codebases, and customer segments without getting stuck.
- General familiarity with B2B SaaS fundamentals.
- Working in English at the executive level.
Nice to Have
- Experience operating across multiple companies, portfolios, or accelerator-style environments rather than spending years on a single product.
- Exposure to post-acquisition or M&A integration environments.
- A failed, acqui-hired, or still-running-on-the-side startup on your CV. Scar tissue is welcome.
- Public technical work: GitHub, conference talks, technical writing, open-source contributions, or a personal site of side projects that show how you think.
- Experience integrating LLMs into production systems beyond the demo stage: evals, guardrails, retrieval, tools, cost control.
