Senior Engineering Manager

twinhealth; United States; Remote; USD 200,000 - 220,000; Full time

Benefits offered by this job

Equity participation

Unlimited vacation

Parental leave

Health, dental, and vision insurance

401(k) plan

Job summary

twinhealth is seeking a senior engineering leader to drive enrollment workflows from eligibility and onboarding through clinical intake and program start. You will lead the team, set technical standards for scalable systems, and coordinate with product, design and operations to shape the roadmap.

The role emphasizes AI-assisted development, production-scale observability, and on-call readiness, with regular travel to the Menlo Park office.

Qualifications

• Bachelor’s degree in computer science or STEM field.
• Master’s degree preferred.
• 8+ years software engineering experience, with 3+ years leading engineering teams.
• Proven track record in developing and retaining engineers.
• Strong backend experience with microservices, API design, SQL databases and event-driven architectures.
• Experience operating production systems at scale with observability and on-call practices.
• Hands-on experience with AI-assisted development workflows and cross-functional collaboration.
• Strong written and verbal communication skills; authorization to work in the United States.

Responsibilities

• Hire, coach, and retain engineers and support career development.
• Set technical standards for scalable architecture, reviews, testing, and observability.
• Partner with product/design/ops to shape roadmaps using business impact measures.
• Promote AI-assisted engineering practices with AI team.
• Guide decisions across microservices, APIs, databases, and event-driven systems; participate in on-call.
• Travel regularly to Menlo Park for planning and collaboration sessions.

Skills

Backend microservices

API design

SQL databases

Event-driven architectures

Observability & on-call

AI-assisted development

People leadership

Communication skills

Education

Bachelor's degree in computer science or STEM

Master's degree preferred

Job description

Role overview

Lead the engineering team responsible for enrollment workflows that take members from eligibility and onboarding through clinical intake and program start. The role combines people leadership with technical direction for backend and full-stack systems, coordinating closely with product, design, operations, clinical teams, and partners. The goal is to reduce enrollment friction while supporting growth, service quality, and member experience.

Responsibilities

• Hire, coach, and retain engineers, supporting performance, career development, and team growth.
• Set technical standards for scalable architecture, design reviews, automated testing, and production observability.
• Partner with product, design, and operations to shape roadmaps and prioritize work using business impact and platform health measures.
• Promote AI-assisted engineering practices and collaborate with an AI team to deliver generative and predictive capabilities.
• Guide technical decisions across microservices, APIs, databases, and event-driven systems, and contribute to on-call work as needed.
• Travel regularly to the team’s Menlo Park office for planning and collaboration sessions.

Requirements

• Bachelor’s degree in computer science or a STEM field; a master’s degree is preferred.
• At least eight years of software engineering experience, including three or more years managing engineering teams and a record of developing and retaining engineers.
• Strong backend experience with microservices, API design, SQL databases, and event-driven architectures.
• Experience operating production systems at scale, including observability, incident response, on-call practices, and performance optimization.
• Hands‑on experience with AI‑assisted development workflows and a history of working with product, design, and operations partners on roadmaps and priorities.
• Strong written and verbal communication skills; authorization to work for any employer in the United States.

Nice to have

• Experience in healthcare or other regulated settings, including familiarity with HIPAA, and exposure to generative or predictive AI.

Benefits and work setup

This is a U.S.-based remote role with regular travel to Menlo Park. The listing gives an annual compensation range of $200,000–$220,000 plus bonus eligibility, while also showing a separate U.S. salary range of $145,000–$160,000.

• Benefits include equity participation, manager‑approved unlimited vacation, paid parental leave, employer-sponsored health, dental, and vision coverage, savings account options, and a 401(k) plan.