Lead GTM Engineer

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 Director of Sales Systems & Data, the Lead Go-to-Market (GTM) Engineer will play a critical role in designing and scaling the technical infrastructure that powers our entire revenue engine. This is a highly strategic and hands-on role that bridges software engineering principles with RevOps strategy. You will architect resilient, AI-powered systems with a primary focus on accelerating pipeline generation by driving efficiencies for both the front-line GTM teams (Sales, Marketing, and Customer Success) and their operational partners (RevOps, Proposal Ops, etc). This is a full time, remote position on our team. 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 pipeline generation (e.g. increased conversion rates, increased “speed to lead”, reduced time/effort per SQO).
• Propose and execute pipe gen experiments on different personas / segments to optimize and ultimately hand off successful new pipe gen strategies to sales team
• Discover new ways to access, connect, and “weaponize” new data sets – both internal and external – to create new methods of generating and converting pipeline.
• Accelerate revenue team efficiency through AI & automation to expedite repeatable workstreams – prospect research, email copywriting, call prep – and maximize reps’ time on highest value activities to generate pipeline.

Cross-Functional Leadership

• Regularly collaborate with Enablement, Revenue Leaders, and others to continually improve AI-driven pipe gen strategies using “on-the-ground” feedback.
• Serve as a subject matter expert in GTM engineering best practices, educating revenue teams on automation and data-driven execution.
• Translate GTM strategy into scalable systems using software engineering best practices (rapid prototyping, iteration, testing, CI/CD).

Tech Stack Ownership

• Oversee continuous feature enablement, adoption, and optimization across the tech stack (e.g. Salesforce, Gong, Outreach, Snowflake) with a focus on capabilities that accelerate pipeline generation
• 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:

• Pipeline Conversion: Increase SAL → SQO conversion rates from <1% to ≥6%.
• Rep Productivity: Increase unique prospects engaged per rep by 50% through AI-powered prospecting.
• Reduce “NRGA”: Reduce the amount of time spent on Non-Revenue Generating Activities by 30%.
• Speed to Lead: Achieve <5-minute average MQL-to-rep response time.

What you’ll bring: 

• 2+ years of demonstrable experience designing and deploying aut