gravie - Senior Engineering Manager

• Set clear expectations for every team member, including full-time and contract engineers, and manage performance against them, including difficult conversations. • Represent the teams in cross-team and leadership forums (EM/PO syncs, leads syncs, partner and vendor calls, RAID log reviews, Go/No-Go meetings). Bring decisions back to the teams and raise our priorities and risks. • Spot blockers early, work with owners across teams and vendors to resolve them, and escalate when needed. • Keep delivery health visible: maintain accurate Jira status and sprint commitments, send timely stakeholder updates, and flag risk early. • Make sure every epic, incident action item, and production-readiness checklist has a named owner and due date, and drive it to closure. Nothing important sits unassigned. • Own engineering quality for both teams: test strategy, contract tests between services, CI quality gates, and production-readiness reviews before go-live. • Ensure team ceremonies happen and are effective for both teams, including standups, backlog refinement, sprint planning, sprint reviews, and retrospectives, whether you facilitate them yourself or partner with Product and engineering leads to do so. • Evolve how the teams work as AI changes software delivery: research emerging practices, run experiments, and bring the teams along. • Lead a blended team of full-time and contract engineers, managing capacity and alignment to Gravie priorities. • Coach and mentor each direct report through regular 1:1s, a development plan for each person, and timely, candid feedback. • Grow the next generation of leaders by developing engineers into leads and future engineering managers. • Manage vendor partners end to end: SOWs, staffing plans, change orders, performance, and knowledge transfer so Gravie isn’t dependent on any one contractor. • Hire and grow full-time engineers as we move key capabilities from contract to in-house teams. • Partner with Product, Data, Security, and Infrastructure to translate ambiguous business problems into clear, deliverable work. • Partner with Security to make sure the teams handle PHI/PII appropriately and that security findings are owned and fixed. • Own the effective adoption of agentic AI practices across both teams: champion the change, set clear expectations for how agents are used, and measure whether it is improving outcomes. Help engineers raise the bar on problem framing, guardrails, acceptance criteria, and risk identification. • Build and contribute to the tooling, workflows, and shared practices that help teams get better results from AI agents. • Use AI in your own leadership work, such as planning, spotting delivery risk, drafting decision documents, preparing for 1:1s, and reporting, applying the same judgment and review you expect of your teams. • Participate in the on-call rotation for critical production incidents and drive follow-up and post-incident improvements. • Practical experience with AI coding agents and agentic development workflows, and a track record of driving AI adoption on a team, including building tooling or practices that others adopted. • Concrete examples of using AI to lead more effectively, beyond driving team adoption. • Technical depth to review merge requests, help debug production issues, critically review architecture and designs, and spot gaps in a test suite. This role does not require writing production code day to day. • A creative approach to problem solving, with the judgment to know when to dig in and when to escalate.