Engineering Manager
Bestow · Remote, US
About this role
## Engineering Manager — Bestow ### About Bestow Bestow is building the infrastructure to help life insurance carriers launch products faster—**weeks instead of years**. We unify a fragmented, legacy value chain with **AI and automation**, powered by a team that moves with precision, purpose, and heart. Bestow is backed by leading investors (Goldman Sachs, Hedosophia, NEA, Valar, 8VC) and trusted by major carriers. We offer **flexible remote/hybrid work**, meaningful benefits, equity, and substantial growth opportunities. > **Note:** Bestow uses **E-Verify** to confirm employment eligibility. Learn more at **E-Verify.gov**: http://e-verify.gov --- ### About the Team Bestow is hiring an **Engineering Manager** to lead a **platform configuration and implementation** team. The Engineering team builds and operates the technology behind Bestow’s SaaS platform that supports life insurance carriers across the policy lifecycle. You’ll partner closely with **Product Management, Experience Design, and Delivery Management** to define and prioritize the roadmap and deliver commitments to carrier partners. **Primary technologies** include: - **Microservices** in **Golang, Python, and TypeScript** - **PostgreSQL** - **gRPC, REST**, and **asynchronous messaging** - **Event sourcing** in configuration and domain layers - **Kubernetes** on **Google Cloud Platform** This role reports to the **Director of Engineering** and is open to **Remote (US)**. *(#LI-REMOTE)* --- ### What You’ll Do - **Lead your team’s technical direction** across services including the configuration layer, enrollment workflow engine, and event-sourced domain services - Ensure systems are **scalable, reliable, secure, and performant** - Favor **configuration-driven** solutions to reduce cost and speed up each new carrier implementation - Collaborate across teams—partner with peer Engineering Managers and teams outside IPC to deliver cross-boundary work - Clarify ownership of shared interfaces early; **escalate** when ambiguity threatens dates or becomes an incident - Own delivery commitments to carrier partners (including **UAT handoff dates**) and report status **accurately and early** - Develop requirements early with Product, Delivery Management, Underwriting, and Compliance to surface missing requirements and dependencies during discovery - Use **data and metrics** to guide delivery, quality, system health, and staffing decisions - Balance near-term commitments with long-term **maintainability and security** - **Grow engineers** through 1:1s, feedback cadence, career ladder expectations, performance reviews, and personalized growth plans - Maintain knowledge spread so a single departure doesn’t put partner commitments at risk - **Own hiring** for your team: act as hiring manager, raise the bar on every hire, and manage contractors/vendors as part of the team - Run lightweight processes that help the team ship; foster a culture of technical excellence and continuous learning - Put **AI to work** in how the team builds (e.g., Claude Code/Tag, GitHub Copilot, AIDLC), measure leverage, and coach engineers on AI competencies - Hold AI-generated code to standards that reduce technical debt - Expand safe AI tooling with Security/IT/Compliance via compensating controls - Turn recurring questions into durable, self-serve knowledge - Stay hands-on: join design/architecture reviews, review code when it matters, and stay current on emerging technologies - Occasionally ship softwar
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