Staff Software Engineer, Growth

Brightside Health delivers life-saving virtual mental healthcare to everyone who needs it. They are seeking a Full-Stack Staff Software Engineer, Growth who will collaborate closely with Product, Design, and Marketing to enhance member growth and optimize the purchasing funnel through technological innovation.

Responsibilities:

• Identifying the highest-leverage opportunities across care discovery, mental health assessment, and provider booking experiences
• Connecting technical investments to measurable patient, operational, and business outcomes
• Using data to uncover friction points, understand system performance, and validate the impact of solutions
• Building platforms, tooling, and automation that enable cross-functional teams to move faster and make better decisions
• Simplifying complex intake and care-matching workflows while accounting for the realities of healthcare, insurance, and compliance
• Raising the technical bar by helping other engineers make sound architectural and implementation decisions
• Creating clarity and alignment in ambiguous problem spaces
• Delivering solutions that are reliable, observable, scalable, and maintainable
• Identifying opportunities to leverage AI, agents, and automation to reduce operational overhead, improve decision-making, and streamline complex workflows
• Championing a culture of experimentation by using A/B testing and data-driven learning to guide product and engineering decisions

Requirements:

• Significant experience shipping production software, typically gained over 10+ years or through equivalent high-impact experience
• Strong fluency with Ruby on Rails and modern TypeScript/React
• Solid relational database experience, including schema design, query performance, data modeling, and safe migrations
• Experience integrating with external APIs in production, including retries, idempotency, rate limits, partial failures, observability, and vendor quirks
• A track record of operating autonomously on ambiguous, cross-functional problems
• Strong product judgment: you can reason about user needs, operational workflows, edge cases, and tradeoffs
• Strong data instincts: you can use metrics, logs, database queries, dashboards, and product analytics to understand what is happening and whether a change helped
• Demonstrated ability to raise the bar of a team through code review, design review, mentorship, technical writing, or pattern-setting
• Excellent written communication, including design docs, RFCs, incident write-ups, rollout plans, and clear decision records
• Comfort working in regulated or high-trust systems where correctness, privacy, and auditability matter
• Comfort using AI-native development practices, including AI coding tools, agents, and automation to accelerate high-quality software delivery
• Experience with modularized monoliths, Packwerk, CQRS, event-driven systems, or service boundaries inside larger applications
• Familiarity with HIPAA, PHI handling, SOC 2, or other regulated-industry constraints
• Experience designing AI-assisted workflows, especially where human review, auditability, and safety matter