Our mission: eliminating every barrier to mental health.

Spring Health is a global mental health company on a mission to eliminate every barrier to mental health. We're building a world where getting support is simple, personal, and built around the person, so care can continue through every job, move, health plan, and life stage.

Our AI-native platform helps us deliver personalized support across self-guided tools, coaching, therapy, medication management, and specialty care. With outcomes independently validated by JAMA Network Open and the Validation Institute, Spring Health reaches more than 170 million people worldwide through leading employers, health plans, and partners.

As an AI-native company, we believe technology should expand the reach, quality, and humanity of care. Every Spring Health team member is expected to use AI tools thoughtfully, apply human judgment to AI outputs, and keep building AI fluency in ways that support their role and our mission.

Reporting to the Associate Director of Engineering for the Client Experience group, this Software Engineer will implement full-stack experiences in our client- and provider-facing applications. As part of the Cost Journey team, this role is instrumental in ensuring every member understands and feels certain about their costs so they can continue booking sessions to reach their goals and feel better.

Location:This is a hybrid role based in NYC with an expectation to be in the office 2-3 days per week at our 60 Madison ave location. Candidates must be based in the NYC area or able to relocate independently within 90 days of their start date. Occasional travel will be required for team on-sites.

What you’ll do

Write, review, and deliver production-ready code with a focus on correctness, clarity, and maintainability.

Participate actively in code reviews—giving constructive feedback and leveraging review comments as a learning opportunity.

Use AI tools (e.g., Claude, Copilot) to explore implementation approaches, accelerate development, generate documentation, and augment code reviews—providing sufficient context to get high-quality, system-aware outputs, and always critically reviewing AI-generated code before shipping.

Contribute to architectural discussions and tech debt prioritization within your team.

Proactively clarify requirements to remove ambiguity; identify and mitigate risks before they become blockers.

Deliver features independently on well-scoped work; support larger multi-person projects with consistent execution.

Collaborate with product managers and designers to break down complex requirements into manageable, shippable units.

Advocate for high engineering standards including test coverage, documentation, and observability.

Participate in an on-call rotation to support system reliability and respond to production issues.

Identify and resolve root causes across code domains; add logging, alerting, and monitoring as a standard part of your work.

Work crossfunctionally with others teams within the organization to deliver full featured experiences.

What success looks like in this role

Delivery & Quality – Deliver projects on time, within scope, and with high stakeholder satisfaction. Maintain high system uptime and low defect rates through strong testing and observability practices.

Independent Execution – Complete well-scoped tasks independently, resolve issues proactively, and accurately track your own work. Estimates are improving in accuracy sprint over sprint.

AI-Augmented Engineering – Regularly use AI to assist with features, debugging, documentation, and test creation—iterating on prompts to improve output quality, and always validating results against team standards.

Collaboration – Partner effectively with product, design, data, and engineering teammates, contributing meaningfully to team goals and alignment.

Engineering Excellence – Contribute to improved team velocity through planning, estimation, and delivery best practices. Continuously seek out new techniques—including AI capabilities—to improve engineering outcomes.