Senior Engineering Manager

About the role: We're looking for a Senior Engineering Manager to lead our Platform Engineering teams at Ethos. You'll own the systems that power every policy we sell, from the moment a customer enters our funnel through the lifetime of that policy. This is a hands-on leadership role that can operate at both altitude and depth You will be the outcome owner for the area you lead, accountable for the reliability, correctness, and velocity of the systems every other team depends on. Platform is where engineering leverage compounds, and you'll join at a point where you can shape the architecture, the strategy, and the culture of the team. Duties and Responsibilities: • Own the outcomes for your domain end to end — the strategy, the technical direction, and the results. • Hire, grow, and retain strong engineers and leads, and mentor the team through design and architecture reviews. • Partner with Product and Staff Engineers to build the technical roadmap and run quarterly planning. • Own cross-team architectural decisions and the internal standards other teams build on: service decomposition, event schema evolution, inter-service contract stability, and data consistency. • Set the engineering quality bar, system reliability, test coverage, incident response SLAs, and on-call health. • Drive operational excellence: observability, runbook quality, postmortem culture, and the reduction of toil. • Translate ambiguous business problems into well-scoped projects with clear milestones and honest timelines. Qualifications and Skills: Leadership • 5+ years of engineering management experience in high-growth organizations, including managing senior ICs and leads. • A track record of building high-performing teams and developing engineers to the next level. • Experience managing platform teams, not just product feature teams. • Strong written communication in PRDs, design docs, postmortems, and upward reporting. • Champions engineering quality: design patterns, code reviews, and disciplined unit, integration, and contract testing. • A self-starter, comfortable with ambiguity and able to make trade-off decisions at speed without much guidance. Technical • A strong engineering foundation — you've shipped production services and can hold your own in architecture reviews without being the day-to-day coder. • Experience building data-intensive applications, Knowledge Graphs, rule engines, complex taxonomies and AI applications. • Backend architecture for large, high-scale web applications, including relational databases, distributed caching, and resilience patterns such as retries and dead-letter handling. • Experience with AWS, and with TypeScript/Node.js backend services at scale (Go or Python a bonus). • Comfort with Datadog or an equivalent for SLO definition, alerting, and incident triage.