Roe: Engineering Manager Location: Remote (Pacific Time Zone required); preference for San Francisco, Los Angeles, or Seattle metro, with occasional travel to the local hub Engagement: Duration: Long Term Contract Contract Domain: Enterprise SaaS for the public sector financials, HR payroll, procurement, and workforce management for government agencies

About the Role

We're standing up a development team to build an MVP demonstrating full enterprise ERP-style capability for the public sector. We need an Engineering Manager to lead that team, own technical execution, and make sure the MVP hits its demo milestone on a modern, well-architected stack.

What You'll Do

Hire, lead, and manage the engineering team building the MVP (mix of local and offshore distributed engineers) Partner with the Product Manager to translate MVP scope into a technical plan, architecture, and delivery timeline Choose and stand up a modern, current-generation tech stack cloud-native infrastructure, modern frontend backend frameworks, CI CD, and scalable data architecture Drive engineering execution and unblock the team to hit the MVP demo deadline Set technical standards for code quality, security, and scalability appropriate for a future enterprise government-grade product Evaluate and incorporate AI ML tooling where it strengthens the product or accelerates delivery (nice to have, not required) Represent engineering in occasional in-person planning or demo sessions at the preferred coastal hub What You Bring Proven experience managing engineering teams delivering SaaS products, ideally in ERP, GovTech, HR HCM, or other enterprise domains Hands-on technical depth to make architecture and stack decisions, not just people management Experience building an MVP 0→1 product, including managing scope and technical debt trade-offs under a deadline Comfort managing distributed and or offshore engineering resources Based anywhere in the continental US but able to work core hours in Pacific Time Strong preference for candidates based in or near San Francisco, Los Angeles, or Seattle, with willingness to travel occasionally to that location for in-person work

Nice to Have

Experience with AI ML integration into product features or developer workflows Background in public sector, civic tech, or compliance-heavy enterprise software