Senior Engineering Manager, Backend

As a Senior Engineering Manager for Product Engineering, you’ll lead teams of backend engineers building the core product surfaces that lawyers and legal professionals use every day—from complex workflows and collaboration tools to elegant user interfaces powered by sophisticated backend systems. This role is equal parts product intuition and technical execution. You’ll be trusted to make fast, high-quality decisions, ship impactful features, and grow a team that embodies engineering excellence.

We move with urgency, bias toward simplicity, and expect our leaders to be hands-on when needed. If you’re energized by ownership, decisive execution, and solving real user problems, we'd love to hear from you.

What You'll Do

• Lead engineers define, build, and drive the multi-quarter technical strategy for user-facing features across our product.
• Collaborate closely with Design, Product, and AI teams to identify and execute on high-impact initiatives.
• Help define and evolve the architecture for a fast-moving, AI-powered application.
• Hire, grow, and retain exceptional engineers who thrive in a high-trust, high-impact environment.
• Foster a culture of simplicity, quality, and continuous improvement.
• Contribute to code and architecture reviews, unblock teams, and lead by example when needed.
• Work closely with cross-functional partners to align product initiatives with company goals.

What You Have

• 3+ years of experience in a software engineering management role leading product engineering teams, preferably in high-growth environments.
• 12+ years of software engineering experience as a backend engineer.
• A track record of leading high-performing, engaged engineering teams.
• Strong product sense and an instinct for balancing speed, quality, and user impact.
• Experience with backend systems (e.g., Python, Java, Go) and modern cloud-native infrastructure.
• A plus: Exposure to AI-powered applications or complex internal tools.
• Ability to anticipate scaling bottlenecks before they occur and take decisive, proactive measures.
• Experience building RAG pipelines and managing the data lifecycle.