Note: The job is a remote job and is open to candidates in USA. Sequencing is seeking an Engineering Manager to lead the team delivering their AI health experience across mobile and web platforms. The role involves overseeing cross-surface delivery, managing a distributed team, and ensuring the integrity of backend services while driving production-grade implementation of AI systems.

Responsibilities

• Cross-surface delivery. Own roadmap sequencing, delivery predictability, and capacity planning across the native app, web app, and AI platform
• Multi-surface releases. Drive predictable releases across React Native (iOS/Android), web, and backend, with strong focus on quality, product execution, and customer experience
• Shared backend integrity. Keep backend contracts and APIs clean and stable so mobile, web, and platform teams move quickly without friction or rework - the backend serves multiple frontends, and boundary discipline is non-negotiable
• People leadership. Lead and develop a distributed team through coaching, regular 1:1s, hiring, and performance management, with clear day-to-day accountability
• Complex content, clear UX. Partner with Product and Bioinformatics to turn genomic complexity into experiences customers can actually understand and act on - with accuracy guardrails and measurable AI performance
• AI platform execution. Drive production-grade implementation of the multi-agent architecture - planner agents, retrieval systems, model orchestration, and latency optimization
• Reliability and trust. Improve performance, stability, and deployment reliability across surfaces so customers can trust their health insights any time they open the app
• Quality gates. Build evaluation and regression checks into release workflows so health insights stay stable as the system evolves; set and enforce clear targets for performance, reliability, and latency
• Architectural boundaries. Maintain clean separation between the AI platform and core systems so the platform stays understandable and maintainable
• Team resilience. Reduce key-person dependencies so the platform scales sustainably
• Incident leadership. Lead AI-related incident response, postmortems, and long-term fixes so sensitive health data and insights stay dependable
• Leadership communication. Translate deep technical detail into simple operational plans, and communicate clearly with leadership on quality, reliability, and trade-offs

Skills

• 5+ years of engineering management, working with high-complexity, high-visibility systems
• Full-stack leadership range. You've led teams spanning frontend and backend and are comfortable owning multiple customer-facing surfaces (mobile and web) built on shared backend services
• Native mobile experience, ideally React Native across iOS and Android, as one of several surfaces you lead, not your only one
• Consumer product instincts in a complex domain. You've led customer-facing products that turn complex, information-dense content into clear, usable experiences
• Technical judgment over hands-on depth. You can hold your own in architecture and trade-off discussions, understand the implications, and tie them to estimates, release schedules, and business needs
• Strong people management, coaching, 1:1s, hiring, and performance management
• AI/ML production familiarity. Comfortable leading teams working with multi-agent systems, planner agents, retrieval architecture, model orchestration, and ML-backed production systems
• Backend foundation in TypeScript or a similar production environment
• Proven execution discipline. A track record of improving predictability and delivery discipline, and enforcing clean architectural boundaries between systems and teams
• Power user of AI and LLM tools for planning, communication, and process design. Not optional
• Strong command of Jira, Confluence, and similar project management and documentation tooling
• Distributed/remote team leadership experience
• Clear communicator who turns deep technical detail into simple operational plans for non-technical partners
• East Coast-based, working hours aligned to U.S. Eastern Time (ET)

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