About the Role
As the Engineering Manager for Proactive Comms, you will lead the team responsible for how Hinge Health intelligently connects with our members. You will oversee a multidisciplinary team of Machine Learning Scientists and Software Engineers dedicated to building the systems that reach out to members at the right time, with the right message, through the right channel.
Your team’s mission is to leverage our proprietary data and predictive models to move beyond generic notifications toward "delightful interactions." Whether it’s an SMS nudge, a personalized email, or an in-app notification, your team builds the infrastructure that ensures these communications are seamless, timely, and impactful.
As a key leader, you will collaborate with senior leadership, product management, and marketing teams to coordinate across our three physical locations: San Francisco HQ, Montreal, and Bangalore. As a hands-on engineering leader, you are expected to stay close to the technology: understanding your team's full stack, contributing code, and regularly reviewing and merging pull requests (~15% of your time).
What You'll Accomplish
Lead a Multi-Disciplinary Team: Manage and mentor a hybrid team of ML scientists and software engineers, fostering a culture of collaboration between data-driven experimentation and robust system engineering.
Build the Comms Engine: Architect and scale a unified communications platform that orchestrates member outreach across SMS, email, in-app notifications, and nudges.
Data-Driven Engagement: Partner with ML scientists to integrate proprietary models into our communication workflows, ensuring outreach is triggered by predictive member behaviors and needs.
Technical Strategy: Develop the long-term roadmap for proactive outreach, balancing the need for high-throughput delivery systems with the flexibility to test new communication styles (including conversational AI).
System Reliability: Ensure the reliability and deliverability of member-facing messages, maintaining high standards for latency, observability, and member privacy.
Cross-Functional Partnership: Collaborate with Product, Design, and Marketing to translate member engagement goals into scalable technical solutions that improve health outcomes.
Operational Excellence: Establish best practices for CI/CD, automated testing, and monitoring for both software services and ML model performance in production.
Hinge Health Hybrid Model
We believe that remote work and in-person work have their own advantages and disadvantages, and we want to be able to leverage the best of both worlds. Employees in hybrid roles are required to be in the office 3 days per week, for the full 8 hours of a typical business day. The San Francisco office has a dog-friendly workplace program.
Basic Qualifications
Bachelor's degree in Computer Science, Engineering, or a related technical field
5+ years of experience managing teams of 5+ technologists (specifically experience managing a mix of Software Engineers and Data Scientists/ML Researchers)
5+ years of experience building and deploying high-scale, member-facing software systems (supporting thousands to millions of Daily Active Users)
Proven track record of delivering distributed systems or backend services in a cloud environment (AWS, GCP, or Azure)
Preferred Qualifications
Communication Systems Expertise: Deep experience building or managing member-facing communication platforms (SMS, Push Notifications, Email) and familiarity with tools like Twilio, Braze, or internal notification engines
ML Integration: Experience leading teams that deploy ML models into production environments to drive business logic or user engagement
Omni-channel Experience: A strong understanding of the nuances of different communication channels and how to optimize for member "delight" rather than just "noise"
Bonus Tech: Experience with or interest in Conversational AI/LLMs as a future channel for member interaction
Regulated Industry Knowledge: Experience working within healthcare (HIPAA) or other highly regulated environments involving sensitive member data
Proficiency in Modern Stacks: Working knowledge of Python, TypeScript/Node.js, AWS services (Lambda, SQS, SNS, SageMaker), and modern DevOps practices
Compensation
This position will have an annual salary, plus equity and benefits. Please note the annual salary range is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. The annual salary range for this position is $240,000 - $360,000.
About Hinge Health
At Hinge Health, we’re using technology to scale and automate the delivery of healthcare – starting with musculoskeletal (MSK) conditions, which affect over 1.7 billion people worldwide. With an AI-powered human-centered care model, Hinge Health leverages cutting-edge technology to improve outcomes, experiences and costs to help people move beyond their pain. The platform addresses a broad spectrum of MSK care – from acute injury, to chronic pain, to post-surgical rehabilitation – through personalized, evidence-based care.
As the preferred partner to 50+ health plans, PBMs and other ecosystem partners, Hinge Health is available to over 20 million people across more than 2,550 employers. The company is headquartered in San Francisco with additional offices in Montreal and Bangalore. Learn more at http://www.hingehealth.com
What You'll Love About Us
Inclusive healthcare and benefits: On top of comprehensive medical, dental, and vision coverage, we offer employees and their family members help with gender-affirming care, tools for family and fertility planning, and travel reimbursements if healthcare isn’t available where you live.
Planning for the future: Start saving for the future with our traditional or Roth 401k retirement plan options which include a 2% company match.
Modern life stipends: Manage your own learning and development
Grow with us through discounted company stock through our ESPP with easy payroll deductions.
Culture & Engagement
Hinge Health is an equal opportunity employer and prohibits discrimination and harassment of any kind. We make employment decisions without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, pregnancy, or any other basis protected by federal, state or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We provide reasonable accommodations for candidates with disabilities. If you feel you need assistance or an accommodation due to a disability, let us know by reaching out to your recruiter.
By submitting your application you are acknowledging we are using your personal data as outlined in the personnel and candidate privacy policy.
Workday ID
JR1872