Engineering Manager
Zania
Engineering Manager
Zania
AI-driven security, risk, and compliance automation
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're not building another dashboard — we're replacing entire workflows with agents that do the work.
Why this role exists
We need an Eng Manager 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're looking for — non-negotiables
1. Builder first, manager second. This person was (or could be) the strongest engineer on any team they've 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.
2. 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.
3. Proven ability to scale a team from small to 20+. They've 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'd bring with them or recruit from.
4. 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.
5. Shipping velocity as a core value. They measure engineering health by what's in production, not what's 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.
6. 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'll 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't work out).
Scaled an eng 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).
Minimum Qualifications
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
8+ years of software engineering experience, with at least 3 years in a technical leadership or founding engineering role at a product-led company
Demonstrated experience scaling an engineering team from small to 20+ engineers, with a proven ability to hire, develop, and retain senior technical talent
Deep, hands-on experience shipping AI/ML or agentic systems to production at enterprise scale
Strong written and verbal communication skills — you will partner directly with the CEO and represent engineering in customer-facing technical conversations
Compensation & benefits
Competitive salary + significant equity
Flexible PTO
Medical, dental, and vision insurance
Meals and snacks in the office
Relocation and immigration support
Zania is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
Zania builds AI agents that automate security, risk, and compliance work for enterprise teams. The platform handles tasks like evidence collection, controls testing, risk assessments, gap analysis, and security questionnaire responses, with findings that link back to their sources for easy inspection. It also supports third-party risk management workflows such as vendor risk tiering, evidence collection and validation, follow-ups, and continuous monitoring. Zania serves security, risk, compliance, and audit professionals. Its approach centers on using AI agents to perform GRC tasks end-to-end, providing verifiable, source-linked outputs and ongoing monitoring to help teams stay compliant. The goal is to help organizations automate and streamline GRC processes, improve accuracy, and save time by delivering auditable, action-ready results.
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