Senior Engineering Manager (AI-Native Platform)

Team Overview

You’ll lead a team of engineers building and scaling core product capabilities at the intersection of software engineering, AI, and insurance. You’ll balance technical leadership with people management, helping your team move quickly while maintaining a high bar for engineering quality, reliability, and customer impact.

What You’ll Be Doing:

• Lead, mentor, and grow a high-performing team of engineers, including hiring, performance management, career development, and technical mentorship.
• Set technical direction and help define the roadmap for your team, translating ambiguous product and customer needs into clear engineering priorities and measurable outcomes.
• Stay deeply engaged in the technical work by guiding architecture, reviewing critical design decisions, and helping the team build scalable, reliable, secure production systems.
• Partner closely with Product, Design, Data Science, Customer-facing teams, and engineering leadership to drive complex initiatives from idea through production.
• Leverage AI-native development tools and workflows to increase engineering velocity while maintaining rigorous standards for correctness, security, reliability, and production readiness.

Who We Hope You Are:

• 8+ years of software engineering experience, with meaningful experience building and operating production software systems.
• 2+ years of experience managing or technically leading engineers, with a track record of hiring, developing, and retaining strong engineering talent.
• Strong technical depth in distributed systems, APIs, cloud infrastructure, or modern web application development, with the ability to engage deeply in architectural and technical decisions.
• Demonstrated ability to lead large, ambiguous technical initiatives from strategy and architecture through execution and production.
• Proven track record of operating effectively in fast-paced, high-growth environments where priorities evolve and teams need to move quickly.
• Strong cross-functional communication skills and the ability to create alignment across Engineering, Product, Data Science, and other stakeholders.

Bonus Points For:

• Experience building AI-powered or AI-native products, particularly systems involving LLMs, agentic workflows, or intelligent automation.
• Experience using AI coding tools to accelerate software development while applying strong engineering judgment to review and validate generated code.
• Experience in an early-stage startup or as an early engineering hire, where you’ve helped establish technical direction and engineering practices from the ground up.
• Experience in insurance, fintech, enterprise SaaS, or other complex, highly regulated domains.