Senior Manager, Software Engineering, Data Exchange

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.

This is a full time leadership position within the Intelligence Pod part of Customer Value & Commercialization, reporting to the Director of Data Science. This role will partner with Analytics Engineering, Software Engineering, and Product dedicated to measuring and demonstrating value of Spring’s solutions to customers. Please note that this is a hybrid role based in San Francisco with an expectation to be in office 2-3 days a week. Our office is located at 2 Embarcadero Ctr. 

• →Evolve and maintain Spring’s data exchange infrastructure 
• →Occasionally meet with vendors and customers as a technical expert
• →Act as a critical partner for Analytics Engineering leadership, ensuring consistent adoption and application of architecture principals for data delivery 
• →Manage a team of 3 software engineers

• Reduce development time for data integrations through eliminating manual tasks
• Expand Spring’s interoperability by modernizing Spring’s external data sharing capabilities
• Improve customer and stakeholder trust by reducing data incongruency between reporting and data delivery systems
• Reduce technical debt and improve engineering excellence
• On time, planned delivery of strategic customer and partner data feeds
• Effectively partner with corresponding technical teams and Product Management
• Effectively balance being a mentor, coach, and manager with knowing when to roll up your sleeves and contribute directly to the team’s work

• At least 1 year managing or leading engineers (e.g., Engineering Manager, Technical Lead, Lead Engineer)
• At least 5 years of experience with Ruby, Rails, React, TypeScript and/or Flutter
• At least 3 years of experience working with data systems and/or data warehouses (e.g., Databricks, Snowflake)
• Able to demonstrate an intermediate familiarity with SQL and data modeling
• (Preferred) 2 years of experience working with data transformation and orchestration tools (e.g., dbt, Airflow)

The target base salary range for this position is $207,000 - $253,000 and is part of a competitive total rewards package including equity and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually using Radford Global Compensation Database at minimum to ensure competitive and fair pay.