Senior Engineering Manager, Brain Health (San Francisco)

The OpportunityJoin the team transforming how we treat chronic pain by addressing its critical mental health comorbidities. As the Senior Engineering Manager for Brain Health, you will lead the development of agentic AI systems that power pain reprocessing therapy and mindfulness interventions. You will oversee a multidisciplinary team to build improved treatment experiences grounded in the latest science, helping members retrain how their brain and nervous system process pain.In this high-impact role, you will collaborate with senior leadership, product management, and clinical teams to architect a unified education platform and conversational therapy bots that demonstrate true emotional intelligence. You will bridge the gap between technological capabilities and therapeutic best practices, ensuring our solutions effectively complement physical therapy to address the root causes of persistent pain.What You'll AccomplishBuild next-generation therapeutic AI agents that deliver personalized pain reprocessing and mindfulness interventions, ensuring clinical efficacy while maintaining engaging, empathetic user experiences.Architect and scale a unified education platform that intelligently serves pain science content, tracks learning progress, and personalizes pathways to build member confidence in movement.Develop the technical strategy for brain health initiatives, ensuring alignment between technological capabilities and therapeutic best practices in partnership with product and clinical stakeholders.Design robust AI architectures for conversational therapy bots that maintain context over multiple sessions and adapt therapeutic approaches based on member progress.Build cross-functional partnerships with content creators, clinical psychologists, and data scientists to create a comprehensive brain health ecosystem.Who You AreA Strategic Technical Leader: You have a proven track record of managing high-performing engineering teams and can navigate the ambiguity of building novel AI applications in a regulated healthcare environment.A Hands-On Builder: You take owner-operator pride in your stack. You stay close to the code, understand the nuances of your team's work, and are comfortable contributing to and reviewing pull requests.A Cross-Functional Collaborator: You excel at bridging the gap between engineering, product, and clinical domains, translating complex therapeutic protocols into scalable technical solutions.Mission-Driven: You are passionate about using technology to solve real-world health problems and are committed to building empathetic, patient-centric solutions.Hinge Health Hybrid ModelWe believe that remote work and in-person work have their own advantages and disadvantages, and we want to be able to leverage the best of both worlds. Employees in hybrid roles are required to be in the office 3 days per week, for the full 8 hours of a typical business day. The San Francisco office has a dog-friendly workplace program.Basic QualificationsBachelor's degree in Computer Science, Engineering, or related fieldAt minimum, 3-4+ years in software engineering with a minimum of 2+ years managing engineering teams, including experience leading a product engineering team where your customers are the end users of the business.Have built AI products and have a practical understanding of what it takes to turn model capabilities into applications people actually use.Have track records of leading the design and delivery of complex, user-facing products end-to-end — across product surfaces, backend services, and AI/ML systems.Have track of records of establishing engineering standards, system architectures, and development best practices — especially around evaluation, safety, and reliability for AI systems.Preferred QualificationsMaster's degree or higher in Machine Learning, Computational Psychology, or a related field.Track record of delivering conversational or agentic AI systems using LLMs (e.g., GPT, Claude, LLaMA), including techniques such as prompt engineering, RAG, fine-tuning, or reinforcement learning.Have worked in early-stage or fast-moving, rapidly evolving environments, and have ideally built products from 0 to 1.Thrive in fast-paced environments and can navigate ambiguity to deliver high-quality products.Prior exposure to LLM evals, ML experimentation platforms, or model quality work — even tangentially.Proven understanding of responsible AI and ethical model design, particularly within healthcare or sensitive data environments.About Hinge HealthHinge Health leverages software, including AI, to largely automate care for joint and muscle health, delivering an outstanding member experience, improved member outcomes, and cost reductions for its clients. The company has designed its platform to address a broad spectrum of MSK care—from acute injury, to chronic pain, to post-surgical rehabilitation—and the platform can help to ease members’ pain, improve their function, and reduce their need for surgeries, all while driving health equity by allowing members to engage in their exercise therapy sessions from anywhere. The company is headquartered in San Francisco, California.Learn more atWhat You'll Love About UsInclusive healthcare and benefits: On top of comprehensive medical, dental, and vision coverage, we offer employees and their family members help with gender-affirming care, tools for family and fertility planning, and travel reimbursements if healthcare isn’t available where you live.Planning for the future: Start saving for the future with our traditional or Roth 401k retirement plan options which include a 2% company match.Modern life stipends: Manage your own learning and developmentCulture & EngagementHinge Health is an equal opportunity employer and prohibits discrimination and harassment of any kind. We make employment decisions without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, pregnancy, or any other basis protected by federal, state or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We provide reasonable accommodations for candidates with disabilities. If you feel you need assistance or an accommodation due to a disability, let us know by reaching out to your recruiter.By submitting your application you are acknowledging we are using your personal data asoutlined in the personnel and candidate privacy policy.Beware of Phishing Attempts: We've noticed an increase in phishing where fraudsters impersonate employees and send fake job offers to steal sensitive information. We'll never ask for financial details during the hiring process and only use @hingehealth.com emails. If you receive a suspicious offer, stop communication and report it to the US FBI Internet Crime Complaint Center. To verify an email from our recruiting team, forward it to View email address on apply.placed-app.com Range: $251.2K - $376.8KLocationSan Francisco-HQEmployment TypeFull timeLocation TypeHybridDepartmentRnDEngineeringCompensation$251.2K – $376.8K • Offers EquityThis position will have an annual salary, plus equity and benefits. Please note the annual salary range is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, and competencies.