AdvocateMH is an early stage, VC-backed, public benefit corporation committed to transforming mental health care through a precision-based approach to triage. We help individuals navigate the complex behavioral health landscape by connecting them to the right care at the right time, whether it be therapy, psychiatry, peer support, and/or other resources. Our unique model leverages both technology (generative AI and machine learning) as well as human relationships to prioritize clinical quality and patient experience in order to make effective mental healthcare more accessible to all. By partnering with all stakeholders in the mental health space, we are building a scalable solution that aims to transform the mental health journey for millions.
Founded in Boston by serial entrepreneurs who have collectively founded 9 companies and raised more than $400M in venture capital collectively, AdvocateMH is a quickly growing health-tech company that closed a highly oversubscribed seed round of $6.2M in January 2025. We are looking for highly motivated entrepreneurs to join on this critical mission to improve the lives of those who suffer from mental health conditions.
As our first Data Engineer, you'll play a pivotal role in building and scaling the critical data infrastructure that powers our mission. Data is core to our success, and you will be instrumental in architecting the systems that allow us to intelligently connect individuals to vital mental health resources. Working at the intersection of cloud technology, data modeling, and healthcare challenges, you'll build the reliable, scalable, and insightful data foundation needed to revolutionize mental health navigation.
Mission-Driven Impact: Use your technical skills to directly contribute to solving critical challenges in mental healthcare access and quality.
Foundational Role: Be a key player in shaping the strategy and infrastructure of a growing, innovative company.
Interesting Technical Challenges: Tackle complex problems at the intersection of data, cloud technology, and healthcare using generative AI and other cutting edge technologies
Growth & Learning: Thrive in a collaborative, dynamic environment with significant opportunities for professional development.
Inclusive Culture: Be part of a diverse team that values every member's contribution to our shared mission.
Competitive Package: We offer a competitive compensation package, performance incentives, and equity participation.
Benefits: Enjoy generous paid time off and work from our fantastic office location in Brookline, MA.
Leveraging Generative AI: Prototype and operationalize agentic systems that leverage foundation model APIs (OpenAI, Claude, Gemini) to assist in triage, summarization, or navigation workflows.
Architect & Implement Cloud Infrastructure: Design, build, and manage scalable cloud infrastructure to support our modern health platform.
Develop Data Systems: Create, own, and maintain robust data infrastructure, including modeling and warehousing solutions (Snowflake, BigQuery), pipeline orchestration and reliable ETL/ELT workflows (Airflow, dbt), and internal analytics tools and dashboards to support operations, product, and clinical teams with timely and accurate insights.
Own Data Pipelines: Develop, own, and optimize reliable ETL/ELT workflows using tools like Airflow, dbt, or similar, ensuring timely and accurate data.
Enable Scalability & Reliability: Closely partner with engineering to establish and enhance CI/CD pipelines and DevOps tooling for data systems, including comprehensive monitoring, observability, and alerting.
evolution as our company grows.
Focus on data science: Analyze and structure unstructured text data (clinical notes, triage assessments, appointment transcripts) to derive actionable insights.
Collaborate for Impact: Work closely with a small team of leaders in product, operations, and healthcare entrepreneurship to ensure data infrastructure meets the needs of both daily operations and long-term strategic analytics.
3+ years of hands-on experience in data engineering, backend-engineering, or infrastructure-focused roles.
Strong programming fundamentals, particularly in SQL and Python.
Proven experience with major cloud platforms (GCP, AWS, or Azure).
Experience with modern data tooling (dbt, Airflow, Snowflake, BigQuery, Terraform).
Familiarity with natural language processing, including LLM APIs and prompt engineering.
Experience applying data science techniques to real-world problems, including exploratory analysis and predictive modeling.
Comfort with moving between infrastructure tasks and applied analytics/ML use cases as needed.
Solid understanding of CI/CD principles and devops best practices as applied to data workflows.
Ability to think holistically, across infrastructure, modeling, and engineering workflows
Comfort with ambiguity, taking ownership, and driving meaningful solutions.
Excellent communication skills and a collaborative mindset, well-suited for fast-moving teams.
Excitement about Advocate’s mission and using technology to create positive social impact.
Experience at early stage startups.
Experience working within healthcare, HIPAA regulations, or similarly regulated data environments.
Familiarity with EHR/EMR integrations or clinical data standards (FHIR).
Experience working with clinical notes, unstructured healthcare data, and behavioral health text data.
Exposure to deploying or evaluating LLM-based agents or copilots in production systems.
Exposure to building infrastructure for AI/ML pipelines or supporting applied AI teams.
AdvocateMH is an Equal Employment Opportunity Employer. We embrace the richness of diversity and do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We recognize that traditional job requirements can sometimes inadvertently exclude talented individuals from underrepresented backgrounds or those who have taken non-traditional paths to acquire their skills. Therefore, even if you do not meet every listed requirement or have gained your qualifications in unconventional ways, we wholeheartedly encourage you to apply. We value passion, potential, and the drive to learn just as highly as formal qualifications, and we are committed to building an inclusive workplace where everyone’s contributions are valued.
