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Bestow

Digital platform for life insurance underwriting

Engineering Manager

Engineering LeadershipPosted on Nov 13
Full-timeRemote in USA

About the Job

Requirements

  • Bachelor's degree or equivalent experience.
  • Typically, 6+ years of professional software development experience and 2+ years of engineering management experience, or equivalent experience leading a team of software engineers.
  • Proven ability to design, build, and operate distributed systems and microservices architectures, including event-driven and event-sourced designs.
  • Experience with Golang and/or Python backend services, API design over gRPC and REST, asynchronous messaging patterns, and PostgreSQL, including schema design, data modeling, and query performance.
  • Cloud platform experience; Google Cloud Platform and Kubernetes are preferred.
  • Experience introducing AI development tools into a team's daily workflow and demonstrating measurable results.
  • Strong grounding in design, planning, delivery, continuous delivery, release strategy, monitoring, and continuous improvement.
  • Ability to reason about frontend composition, data platforms, and infrastructure to negotiate interfaces and resolve cross-team issues.
  • Ability to read and contribute to the team's codebase and participate credibly in architectural decisions.
  • Advocacy for automated testing and test-driven development, with experience testing configuration and rules at scale.
  • Ability to define and track key metrics, hold a team accountable, and consistently meet committed dates and service-level agreements.
  • Proven ability to hire, mentor, and retain engineers, including developing senior engineers into technical leaders.
  • Excellent written and verbal communication, including explaining complex systems and trade-offs to executives, carrier partners, and engineers.

Responsibilities

  • Lead the team's technical direction and work with senior and staff engineers to shape the design of services across the configuration layer, enrollment workflow engine, and event-sourced domain services; maintain scalability, reliability, security, and performance, and align the roadmap with broader platform strategy.
  • Guide the team toward repeatable, configuration-driven solutions that reduce the cost and delivery time of each carrier implementation.
  • Partner with peer Engineering Managers and teams outside IPC to deliver cross-team work, clarify ownership of shared interfaces, and escalate ambiguity that threatens a date or becomes an incident.
  • Own the team's delivery commitments to carrier partners, including user acceptance testing handoff dates, and report status accurately and promptly to leadership.
  • Partner with Product, Delivery Management, Underwriting, and Compliance to identify missing requirements and cross-team dependencies during discovery.
  • Track delivery, quality, and system health metrics and use the data to make technical and staffing decisions while balancing near-term commitments with long-term maintainability and security.
  • Run regular one-to-one and feedback sessions, set expectations against the career ladder, write calibrated performance reviews, build growth plans, address individual and team challenges, develop senior engineers toward staff and tech lead roles, and distribute knowledge across the team.
  • Act as hiring manager for open requisitions, partner with recruiting, and manage contractor and vendor partners to the team's expectations and quality standards.
  • Run lightweight team processes and ceremonies, discontinue those that do not help the team ship, and foster technical excellence, innovation, and continuous learning with Principal engineers and other engineering leaders.
  • Lead adoption of AI development tools, including Claude Code, Claude Tag, and GitHub Copilot, and AI-first delivery practices such as AIDLC; measure results, maintain standards for AI-generated code, and coach engineers against AI competencies in career ladders.
  • Work with Security, IT, and Compliance to propose compensating controls for AI tooling requests, and turn recurring questions from Product, Design, and new engineers into self-service knowledge.
  • Participate in design and architecture reviews, review code when appropriate, stay current on emerging technologies, and occasionally contribute software.

Desired Qualifications

  • Experience in life insurance, annuities, or another regulated industry.
  • Experience delivering implementations for enterprise or carrier partners under contractual dates.
  • Google Cloud Platform and Kubernetes experience.

About the Company

Bestow

Digital platform for life insurance underwriting

Bestow is a digital life insurance platform that uses underwriting technology to speed the insurance application process and manage the full policy lifecycle from origination to administration. Customers can buy affordable life coverage starting around $11 per month, with most applications receiving an instant decision through a quick, simple online experience. The company also provides data solutions that enrich customer data and support targeted audience segmentation and more efficient marketing and product routing. Compared with traditional insurers, Bestow combines a fully online workflow, rapid underwriting, and cost efficiencies to launch new products quickly and reduce costs. Its goal is to make life insurance easy to obtain, affordable, and fast through a data-driven, digital platform that improves customer satisfaction and scales with demand.

Company size
201-500
Company stage
Series D
Total funding
$307.5M
Headquarters
Dallas, TX
Founded
2017

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