The Opportunity
Join 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.
Build 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.
Establish MLOps practices specific to mental health AI, including model monitoring for therapeutic effectiveness, safety guardrails, and compliance with healthcare standards.
Drive innovation in NLP and affective computing to enhance the therapeutic alliance between AI agents and members.
Build cross-functional partnerships with content creators, clinical psychologists, and data scientists to create a comprehensive brain health ecosystem.
A 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 Technologist: 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.
We 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.
Bachelor's degree in Computer Science, Engineering, or related field
5+ years of experience managing teams of 5+ technologists (mix of engineers and ML researchers/scientists)
5+ years of experience building and deploying ML/NLP solutions at scale (thousands to millions of DAU)
Experience with conversational AI, dialogue systems, or chatbot development
Master’s degree or higher in Machine Learning, Computational Psychology, or a related field
3+ years of experience developing conversational or agentic AI systems using LLMs (e.g., GPT, Claude, LLaMA), including techniques such as prompt engineering, RAG, fine-tuning, or reinforcement learning
Proven understanding of responsible AI and ethical model design, particularly within healthcare or sensitive data environments
Experience building or deploying digital mental health or therapeutic AI applications, with familiarity in CBT, DBT, or other evidence-based modalities
Working knowledge of mental health privacy regulations (HIPAA, state-specific laws) and secure data practices
Proficiency in modern development and ML infrastructure (Python, TypeScript, Node.js/NestJS, vector databases, LangChain, Docker, Kubernetes, AWS services like Bedrock/SageMaker, and CI/CD pipelines)
At Hinge Health, we’re using technology to scale and automate the delivery of healthcare – starting with musculoskeletal (MSK) conditions, which affect over 1.7 billion people worldwide. With an AI-powered human-centered care model, Hinge Health leverages cutting-edge technology to improve outcomes, experiences and costs to help people move beyond their pain. The platform addresses a broad spectrum of MSK care – from acute injury, to chronic pain, to post-surgical rehabilitation – through personalized, evidence-based care.
As the preferred partner to 50+ health plans, PBMs and other ecosystem partners, Hinge Health is available to over 20 million people across more than 2,550 employers. The company is headquartered in San Francisco with additional offices in Montreal and Bangalore. Learn more at http://www.hingehealth.com
Inclusive 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 development.
Grow with us: Enjoy discounted company stock through our ESPP with easy payroll deductions.
Hinge 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 as outlined 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 security@hingehealth.com.
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