Senior Engineering Manager, Co-Intelligent Coaching

Omada Health

5d•$176,000 - $253,000•Remote

About The Position

Omada Health is hiring a Senior Engineering Manager to own a significant part of its Co-Intelligent Coaching work. The role leads multiple squads building an AI-supported coaching experience in which AI handles member interactions between sessions—such as goal setting, food guidance, and reflection—while human coaches provide relationship-based care when needed. Squads own their work from prototype through production, including ongoing maintenance and on-call responsibilities. The Senior Engineering Manager is accountable for what gets built, delivery sequencing, capacity allocation, cycle time, and the growth of the people building the product. The role remains hands-on and technical: shipping production code off the critical path on directly managed squads, reviewing architecture, and contributing useful technical judgment during incidents. The manager partners with Product Strategists, who lead decisions about what to build and why, while the engineering manager assesses deliverability, cost, timing, and technical tradeoffs. The role also develops engineering leaders, plans future team composition and onboarding, establishes and spreads standards for AI-assisted engineering, and takes ownership of cross-team engineering problems that lack a clear owner. The position is remote-first and offers a geographic-zone-based base salary range.

Requirements

At least 8 years of software engineering experience, including at least 4 years managing engineers directly.
Experience developing another leader, such as managing a manager or growing an engineer into a tech lead or engineering manager with real accountability.
A track record of shipping mission-critical software to production and owning its operation afterward, including learning from mistakes.
Experience owning team prioritization and estimation, including making and explaining decisions to say no or not now.
Experience giving direct developmental feedback and supporting someone through underperformance.
Currently shipping or recently having shipped production code in at least one layer of the stack: backend, web frontend, iOS, or Android; sufficient breadth to follow conversations in other layers and critically review architecture.
Comfort with an expert-generalist team model in which engineers may work across backend and mobile, including understanding its risks and opportunities.
Hands-on experience directing AI agents through real-world production changes and a considered view of where they help or create rework.
Understanding of CI/CD, logging, monitoring, and telemetry sufficient to assess squad operational practices.
Excellent written communication.

Responsibilities

Own the member experience that runs around the clock, including AI-supported goal setting, food guidance, and daily reflection, and determine where interactions hand off to human coaches.
Own delivery across multiple squads, including sprint shaping, prioritization, backlog grooming, estimation, and decisions about competing demands.
Improve and explain squad cycle time without sacrificing quality.
Ship production code each sprint on directly managed squads, off the critical path, using the same agent workflows as the team.
Review architecture, identify weak designs, and contribute during incidents on squads managed through another manager.
Teach engineers to navigate the system and make sound technical decisions.
Partner with Product Strategists to clarify responsibilities and keep scope and delivery decisions aligned.
Develop any engineering manager who reports to the role and be accountable for their growth and squad health.
Plan future headcount, skill mix, and onboarding so new builders can become productive in an agent-heavy codebase.
Define, document, teach, and measure AI engineering standards that can be adopted by other squads.
Identify broad engineering problems without clear ownership, organize peers, and drive those problems to completion.