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About the Role
We are seeking an Engineering Manager to own engineering end-to-end, including architecture decisions, hiring, shipping cadence, and team culture. This hands-on technical leader will scale the team from approximately 5 to 20+ engineers within the next 12 months while ensuring the product is world-class.
Responsibilities
- 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.
Requirements
- Builder first, manager second; must be able to be the strongest engineer on the team.
- Possess Founder DNA with prior experience as a technical founder or very early engineering leader at a startup.
- Proven ability to scale a team from small to 20+ engineers, hiring 10–20 engineers in a compressed timeline without lowering the bar.
- AI-native mindset with active building experience with LLMs, agents, tool-use, and orchestration frameworks.
- Understand prompt engineering, evaluation, context window management, and the difference between demo-ware and production-grade AI systems.
- Shipping velocity as a core value; measure engineering health by production deployments.
- Deep technical focus, not a mezzanine leader; debug production issues and explain architecture tradeoffs.
- Founded or co-founded a technical startup.
- Scaled an eng team through a Series A/B at a product-led company.
- Shipped AI/ML products to production.
- Deep in the Bay Area engineering community.
- Background in security, infrastructure, or enterprise SaaS is a plus.
- Operated in a domain where correctness matters (fintech, security, health, compliance).
- 8+ years of software engineering experience.
- 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.
- 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.
Skills
- LLM orchestration
- Agentic workflows
- Compliance automation
- CI/CD
- Observability
- On-call
- Code review
- Prompt engineering
- Evaluation
- Context window management
- AI/ML
- Agentic systems
Location
- Bay Area
Work Type
- Full-time
Experience Level
- Technical leadership
- Founding engineering role
- 8+ years of software engineering experience
- 3+ years in a technical leadership or founding engineering role
Education Level
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
Salary/Compensations
- Competitive cash
- Significant equity
About the Company
- 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.