Senior Manager, Back End Engineering [Remote-US]

As a Senior Manager, Back End Engineering, you’ll lead a team of engineers responsible for the core policy, billing, and financial ledger platforms that support key product and operational initiatives at Quanata.

You’ll combine people leadership with technical and architectural guidance, helping your team deliver scalable, secure, high-performing systems. You’ll also help improve how the team operates, from engineering processes and capacity planning to technical decision-making and delivery.

Working closely with Product Management, Program Management, engineering leaders, and other teams across the company, you’ll help align technical execution with broader business goals while coaching and developing mid-level, senior, and staff engineers.

• Coach, lead, and develop a team of mid-level, senior, and staff software engineers.
• Provide architectural guidance and support technical decision-making for back end systems.
• Partner with Product Management, Program Management, and teams across the company to drive successful product delivery.
• Improve engineering processes to increase team efficiency and effectiveness.
• Set and manage expectations with leadership and external stakeholders.
• Drive team performance against KPIs for throughput, product quality, security, and performance.
• Lead sprint and roadmap planning, capacity modeling, and resourcing efforts.
• Stay current on industry trends and help drive adoption of engineering best practices.

• Bachelor’s degree, an equivalent combination of education and relevant experience, or equivalent relevant experience.
• 8–10 years of software engineering experience, including 4+ years of engineering management experience.
• Experience with personnel development and performance management.
• Project management experience.
• Experience with sprint and roadmap planning, capacity modeling, and resourcing.
• Strong technical architecture fluency, with a focus on back end systems.
• Strong enterprise partnership and stakeholder management skills.
• Executive-ready written communication skills.

• Experience in a financial sector such as insurance, banking, or investing.
• Experience with AI-assisted engineering practices, including spec-driven development, context and harness engineering, and autonomous agentic workflows.
• Familiarity with technologies used by the team, including Go, Python, TypeScript, GraphQL, gRPC, Postgres, Mongo, Snowflake, Kafka, Docker, Kubernetes, and AWS.