Remote Senior AI Coaching Platform Engineering Manager

Omada Health Inc.

Oregon

Hybrid

USD 194,000 - 242,000

Full time

6 days ago

Be an early applicant

Get a reply from this employer

Your resume and cover letter, tailored to exactly what they’re hiring for.

Get past ATS filters

Benefits offered by this job

Remote-first culture

Equity grants

Competitive salary + bonus

Job summary

Omada Health is hiring a Senior Engineering Manager to own a significant piece of Co-Intelligent Coaching. You will own what gets built, in what order, and how teams grow. A squad owns problems from prototype to production, including maintenance and on-call rotation.

You stay technical and influence roadmaps through direct or indirect leadership. Your experience shipping mission-critical software, mentoring engineers, and balancing speed with quality will drive cross-functional collaboration

Qualifications

8+ years in software engineering, including 4+ years managing engineers directly.
Experience developing another leader: a manager who reported to you, or an engineer you grew into a tech lead or EM role with real accountability.
Track record shipping mission-critical software to production and living with it afterwards.
Experience owning prioritization and estimation for a team, including saying no, not now, and explaining why.
Experience giving direct developmental feedback, and at least one case where you managed someone through underperformance with real support attached.
Currently shipping, or recently shipping, production code in at least one layer of our stack (backend, web frontend, iOS, or Android).
Comfort with an expert-generalist team model and the risks/opportunities it brings.
Hands-on experience directing AI agents through real world production changes, and a considered view on where they help and where they produce work someone else has to redo.
Understanding of CI/CD, logging, monitoring, and telemetry.
Excellent written communication.

Responsibilities

Own the member experience that runs around the clock; AI handles moments between sessions.
Own delivery across squads: shaping sprints, prioritization, backlog grooming, estimation.
Own cycle time and explain changes; balance speed and quality.
Stay technical and review architecture; mentor across squads and incidents.
Partner with Product Strategist to align squad scope and deliverables.
Grow a manager; support squad health and growth of direct reports.
Plan headcount and onboarding for future growth; define skills mix.
Set AI standards and enable reuse across squads.
Tackle problems nobody owns and close gaps in engineering efficiency.