Senior GTM Engineer (Customer Success)

Our mission: to eliminate every barrier to mental health.

At Spring Health, we’re on a mission to revolutionize mental healthcare by removing every barrier that prevents people from getting the help they need, when they need it. Our clinically validated technology, Precision Mental Healthcare, empowers us to deliver the right care at the right time—whether it’s therapy, coaching, medication, or beyond—tailored to each individual’s needs.

We proudly partner with over 450 companies, from startups to multinational Fortune 500 corporations, as a leading provider of mental health service, providing care for 10 million people. Our clients include brands you use and know like Microsoft, Target, and Delta Airlines, all of whom trust us to deliver best-in-class outcomes for their employees globally. With our innovative platform, we’ve been able to generate a net positive ROI for employers and we are the only company in our category to earn external validation of net savings for customers.

We have raised capital from prominent investors including Generation Investment, Kinnevik, Tiger Global, Northzone, RRE Ventures, and many more. Thanks to their partnership and our latest Series E Funding, our current valuation has reached $3.3 billion. We’re just getting started—join us on our journey to make mental healthcare accessible to everyone, everywhere.

Reporting to the Senior Director, Strategic Customer Operations the Senior Go-to-Market (GTM) Engineer will play a critical role in designing and scaling the technical infrastructure that powers our Customer Success engine. This is a highly strategic and hands-on role that bridges software engineering principles with Customer Success strategy. You will architect resilient, AI-powered systems that enhance customer outcomes, improve retention, and drive efficiency across the full customer lifecycle—from onboarding and adoption to engagement, renewal, and expansion.

This is a full-time role based in New York City operating on a hybrid schedule and expected to work from our New York City office 3+ days per week. Occasional travel may be required for in-person team events or meetings.

What You’ll be Doing:

AI & Automation Engineering

• Own the design, testing, and iteration of automation systems that scale Customer Success efficiency (e.g. reducing churn, improving renewal rates, identifying upsell signals).
• Build predictive models and automations that surface actionable insights to CSMs and Account Managers, such as product usage risk alerts or expansion opportunities.
• Leverage internal and external data sets to improve customer health scoring, satisfaction tracking, and engagement metrics.
• Accelerate customer team productivity through AI and automation that supports proactive account management, reporting, and client communication.

Cross-Functional Leadership

• Partner with Customer Success, RevOps, Enablement, and Member Marketing/Member Engagement Strategy to continuously improve data-driven customer retention and expansion strategies.
• Serve as a subject matter expert in GTM engineering best practices, educating customer-facing teams on automation and system optimization.
• Translate customer success strategy into scalable systems using software engineering best practices (rapid prototyping, iteration, testing, CI/CD).

Tech Stack Ownership

• Oversee feature enablement, adoption, and optimization across the tech stack (e.g. Salesforce, Gainsight, Gong, Snowflake) with a focus on improving customer outcomes.
• Proactively monitor the AI tech landscape to evaluate new vendors and identify opportunities to maximize the efficiency of our GTM technology ecosystem.

What Success Looks Like in This Role:

• Cross-Functional Leadership

  • Partner with Customer Success, RevOps, Enablement, and Member Marketing/Member Engagement Strategy to continuously improve data-driven customer retention and expansion strategies.
  • Serve as a subject matter expert in GTM engineering best practices, educating customer-facing teams on automation and system optimization.
  • Translate customer success strategy into scalable systems using software engineering best practices (rapid prototyping, iteration, testing, CI/CD).
    
    

  Tech Stack