Head of Engineering

About Zania Zania is building AI agents for enterprise governance, risk, and compliance teams to execute complex workflows with full explainability. Series A, $18M raised from NEA, Anthropic, and Menlo Ventures. Founded by a former founding security engineer at Airbnb and builder of Microsoft Security Copilot.

We\u2019re not building another dashboard — we\u2019re replacing entire workflows with agents that do the work. Why this role exists We need a Head of Engineering who will own engineering end-to-end: architecture decisions, hiring, shipping cadence, and team culture. This is not a "manage managers" role.

This is a hands‑on technical leader who scales the team from ~5 to 20+ engineers in the next 12 months while personally ensuring the product is world‑class. What We\u2019re Looking For — Non-negotiables Builder first, manager second. This person was (or could be) the strongest engineer on any team they\u2019ve been part of.

They chose management not because they plateaued technically, but because they were a founder or realized leadership was the highest‑leverage way to multiply themselves. They can read a PR, spot an architectural mistake, and rewrite it themselves if needed. Founder DNA.

Prior experience as a technical founder or very early engineering leader (employee #1–10) at a startup that shipped real product under real constraints. They know what it means to make decisions with incomplete information, cut scope ruthlessly, and hold a team accountable to weekly ship cycles — not quarterly roadmaps. Proven ability to scale a team from small to 20+.

They\u2019ve hired 10–20 engineers in a compressed timeline without lowering the bar. They have a system for how to source, close, and onboard fast. Ideally they have a personal network of strong engineers in the Bay Area they would bring with them or recruit from.

AI‑native mindset. Not "interested in AI" — actively building with LLMs, agents, tool‑use, and orchestration frameworks today. They understand prompt engineering, evaluation, context window management, and the difference between demo‑ware and production‑grade AI systems.

Experience with agentic architectures is strongly preferred. Shipping velocity as a core value. They measure engineering health by what\u2019s in production, not what\u2019s in Jira.

They set aggressive timelines and hold the team to them. They know how to unblock engineers, kill unnecessary process, and create a culture where deploying daily is normal. Deep, not wide.

We do not want a "mezzanine" leader — someone who operates through layers, delegates everything, and speaks in frameworks. This person goes deep on specific systems, debugs production issues at 2am, and explains architecture tradeoffs to a customer on a sales call. What You\u2019ll Do Own all engineering output: product quality, velocity, reliability, and security.

Build the engineering team from current size to 15–20 in 12 months. Personally involved in every hire. Set and enforce a shipping culture — weekly demos, continuous deployment, minimal process overhead.

Partner directly with the CEO on product direction, prioritization, and customer‑facing technical conversations. Architect and evolve the platform (LLM orchestration, agentic workflows, compliance automation) for enterprise scale. Establish lightweight but real engineering practices: CI/CD, observability, on‑call, code review standards.

Signals we look for Founded or co‑founded a technical startup (even if it didn\u2019t work out). Scaled an engineering team through a Series‑A/B at a product‑led company. Has shipped AI/ML products to production — not research, not POCs.

Deep in the Bay Area engineering community — knows who to call. Background in security, infrastructure, or enterprise SaaS is a plus. Has operated in a domain where correctness matters (fintech, security, health, compliance).

Compensation Significant equity + competitive cash — structured to attract a builder, not a caretaker. Reports directly to CEO. How to Apply Email [email protected] or apply through our careers page. #J-18808-Ljbffr