Staff Software Engineer - Marketplace

Grow Therapy
San Francisco or Seattle$217k – $288kPosted 20 March 2026

Job Description

About Us: Grow Therapy is on a mission to serve as the trusted partner for therapists growing their practice, and patients accessing high-quality care. Powered by technology, we are a three-sided marketplace that empowers providers, augments insurance payors, and serves patients. Following the mass increase in depression and anxiety, the need for accessibility is more important than ever. To make our vision for mental healthcare a reality, we’re building a team of entrepreneurs and mission-driven go-getters. Since launching in February 2021, we’ve empowered more than ten thousand therapists and hundreds of thousands of clients across the country and insurance landscape. We’ve raised more than $178mm of funding from Sequoia Capital, Transformation Capital, TCV, SignalFire, and others. About the Role We’re looking for a highly product-driven, execution-oriented Staff Engineer to define and own the technical vision for our marketplace and provider experience systems. As a senior leader on the Match Success team, you’ll build the backend systems, workflows, and intelligence that enable clients and providers to connect seamlessly and form long-lasting care relationships. You’ll architect and deliver the next generation of marketplace matching - leveraging personalization, semantic search, applied AI, and scalable service design. This role operates at the intersection of product, engineering, provider success, and quality. You will bring clarity to ambiguity, drive technical strategy, and scale a high-performance engineering culture with a founder’s mindset. This is a rare opportunity to help build the “Uber/Airbnb of healthcare” and create the marketplace that makes care accessible at national scale. Why This Role Matters Match Success is responsible for helping clients find the right provider and build long-term therapeutic relationships. Your work will directly shape how care is delivered and accessed nationwide. We’re building a highly scalable, intelligent marketplace platform that will power the future of healthcare access by removing friction, improving personalization, and enabling millions of people to receive the care they deserve. If you want to build transformative technology that will impact the next decade of healthcare, and enjoy working at the intersection of product, AI, and complex systems, this role is for you What You’ll Do Define and own the long-term technical vision for core Marketplace, Scheduling, Booking, and Provider Operations systems. Architect scalable backend systems that support high-volume matching, transactions, availability management, and operational workflows Design and evolve matching, search, and personalization capabilities, including semantic search, recommendation systems, and applied AI patterns. Continually improve key marketplace flows such as appointment management, provider discovery, cancellation handling, and practice setup. Develop operational frameworks for planning, prioritization, incident management, and delivery excellence. Use data deeply by instrumenting systems, measuring impact, and optimize marketplace performance and provider-client matching success. Lead and mentor a high-performance engineering team, raising the bar for technical execution, communication, and problem-solving. Create documentation, playbooks, and architectural guardrails to ensure consistency, quality, and efficiency across the engineering lifecycle. Advocate for both client and provider experience needs, translating insights into technical investments and roadmap priorities. What You Bring 8+ years of professional software engineering experience, including 2+ years leading teams or technical initiatives. At least 2 years building backend systems at scale, ideally in high-throughput or marketplace environments. Experience with P2P or multi-sided marketplaces (matching, ranking, pricing, fraud, fulfillment, or similar domains). Demonstrated strength in product engineering, deeply und ... (truncated, view full listing at source)
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