Director of Engineering
SDLAbout the role
About GovPilot:
GovPilot provides cloud-based software solutions to local governments, aiming to make our communities better places to live and work. As a mission-driven company, GovPilot is committed to creating impactful technology that serves the public good.
We are looking for team members who take pride in their work and seek to consistently improve themselves, their skills, and their knowledge. If this sounds like you–and the type of work environment where you’d thrive–we hope you’ll join us!
What We Offer:
- Competitive salary.
- Unlimited PTO.
- Flexible working hours and remote work options.
- Comprehensive health, dental, and vision insurance.
- Professional development opportunities and learning budget.
- Home office and IT budget.
- Supportive team environment.
- The chance to work on innovative projects with cutting-edge technologies.
The Position:
YGovPilot is a GovTech company that is growing rapidly and leverages AI heavily in order to meet aggressive roadmap targets with high quality. We are looking for a dynamic leader that understands how to match talent and capacity with business problems, and deliver high quality software at the pace that AI now enables.
You are the operational counterweight to a VP of Engineering who stays deliberately hands-on in architecture and MVP development. That split only works if the operational half is held by someone senior enough to run it without escalation.
You will need real technical depth. You cannot arbitrate a dependency conflict, judge a delivery risk, or defend a staffing trade-off without understanding the systems underneath it. What you will not need is to be the most senior technical voice in the room.
We are an AI-native engineering organization. Governing and scaling that practice is a core responsibility of this role, not a side project.
What You Will Own:
- Delivery across three product lines. End-to-end visibility and accountability: roadmap tracking, release coordination, cross-team dependencies, and risk escalation. One source of truth leadership can read without a translator. A disciplined incident and on-call program across time zones, with tracked postmortem follow-through.
- Engineering metrics. Define and instrument the KPIs that drive decisions: cycle time, lead time for changes, deployment frequency, change failure rate, MTTR, escaped defects, uptime against SLOs, and team health. Automate the reporting so it does not live in your head. Turn signal into a narrative leadership can act on, including what decision is needed and by when.
- Partnership with Product. Build a genuine peer relationship with the Director of Product. Own the capacity model that makes roadmap commitments credible, and surface trade-offs at the point of commitment rather than at the deadline.
- Staffing and capacity planning. Allocation and coverage across all three lines, with a repeatable framework rather than case-by-case negotiation. Partner with Product and Finance on headcount forecasting. Confirm projects are fully staffed before work begins, and stop the ones that are not.
- People leadership. Directly manage and develop engineering managers and leads. Own hiring, onboarding, and performance management. Build a management layer that operates consistently across geographies.
- AI-native engineering. Drive adoption of agentic coding tools. Set the standard for where AI belongs in planning, implementation, and review, and where human review stays mandatory. Own the governance: code provenance, security review, and IP and data handling. Report measured delivery impact, not activity.
- AI ROI. Partner with the executive AI sponsor to quantify the returns of AI-assisted development. Own the engineering evidence by balancing fully loaded costs against delivery outcomes like cycle time and quality, and establish governance for code provenance, human review boundaries, and data handling.
What You Bring:
- 10 or more years in software engineering, including 3 or more at Director level or senior engineering management.
- Delivery ownership across multiple concurrent products, not one team against one roadmap.
- Proven leadership of distributed global teams, including managing managers.
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