Senior Engineering Manager – Co-Intelligent Coaching

Omada Health

. Own the member experience for AI-supported coaching, including goal setting, food guidance, reflection, daily challenges, and handoffs to human coaches .

Posted 11/3/2026full-timeRemote • United StatesSenior💰 $176,000 - $253,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in software engineering and team management, with a strong focus on delivering AI-supported coaching solutions and improving engineering standards. Capable of prioritizing tasks, providing developmental feedback, and shipping production code across multiple technology stacks.

Highest-signal resume keywords

Software Engineering ManagementAI Agent DirectionProduction Code ShippingTeam Prioritization and EstimationDevelopmental Feedback

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

RubyPythonReactIOS DevelopmentAndroid DevelopmentCI/CDArchitecture ReviewBacklog GroomingGoal SettingTelemetry

Soft Skills

Excellent Written CommunicationLeadership DevelopmentProblem SolvingTeam CollaborationFeedback Management

Tools & Technologies

Ruby on RailsFlaskFastAPISwiftSwiftUIKotlinPostgreSQLGraphQLAWSDocker

Industry Keywords

AI CoachingSprint ShapingCycle Time ImprovementIncident SupportEngineering Standards

Tech Stack

Tools & technologies

AndroidAWSDockerFlaskGraphQLiOSKotlinKubernetesPostgresPythonReactRubyRuby on RailsSwift

About the role

Key responsibilities & impact

Own the member experience for AI-supported coaching, including goal setting, food guidance, reflection, daily challenges, and handoffs to human coaches
Own delivery across multiple squads through sprint shaping, prioritization, backlog grooming, estimation, and capacity decisions
Improve and explain cycle time without compromising quality
Ship production work every sprint on directly managed squads, using the same agent workflows as builders
Review architecture, identify weak designs, and support incidents on squads managed through another manager
Partner with Product Strategists to align scope, delivery feasibility, cost, and roadmap timing
Develop managers and grow engineering leaders
Plan future headcount, skill mix, and onboarding for an agent-heavy codebase
Establish and teach AI engineering standards beyond the team's boundary, and measure adoption
Identify and resolve engineering-wide problems that lack clear ownership
Maintain squad-shipped systems and participate in on-call rotations

Requirements

What you’ll need

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 attached
A 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, including managing someone through underperformance with real support attached
Currently shipping, or recently shipping, production code in at least one layer of the stack: backend (Ruby, Python, ...), web frontends (React), iOS, or Android
Enough range to follow conversations in other stack layers and review architecture decisions critically
Comfort with an expert-generalist team model
Hands-on experience directing AI agents through real-world production changes
Understanding of CI/CD, logging, monitoring, and telemetry
Excellent written communication
Technologies used include Ruby on Rails, Python (Flask, FastAPI), React, native iOS (Swift, SwiftUI), native Android (Kotlin), PostgreSQL, GraphQL, AWS (RDS, SQS), Docker, Kubernetes, GitLab, Datadog, and PagerDuty

Benefits

Comp & perks

Competitive salary with generous annual cash bonus
Equity grants
Employee stock purchasing plan (ESPP)
Remote first work from home culture
Flexible Time Off to help you rest, recharge, and connect with loved ones
Generous parental leave
Health, dental, and vision insurance (and above market employer contributions)
401k retirement savings plan
Lifestyle Spending Account (LSA)
Mental Health Support Solutions