Hinge Health
Healthcare
DataEngineeringManager,Data&MLPlatform
Neural analysis suggests this role is
optimal for Manager candidates.
“Data Engineering Manager, Data & ML Platform at Hinge Health. Skills: Data Engineering, ML Platform, Streaming-first architecture, Team Leadership. The Data Engineering Manager will lead the Data & ML Platform team, focusing on building and evolving the data backbone for personalized MSK care. This role involves shaping a streaming-first, ML-ready architecture, ensuring reliable data flow across systems, and enabling analytics, experimentation, and machine learning at scale. The manager will als”
What You'll Achieve.
Key objectives include improving data freshness, consistency, and discoverability, enabling Data Science teams to self-serve ML platform features, reducing data fragmentation, standardizing core data models, and improving reliability for downstream consumers. The role also aims to institutionalize operational rigor and build a high-performing team focused on reliability, scalability, and developer experience.
Industry & Context.
Root cause analysis; System design
Experience in regulated environments (HIPAA, SOC 2) with an orientation toward SLOs, observability, and incident management is preferred. The role also emphasizes AI-assisted development workflows and coaching teams on effective, safe AI-native practices.
What They're Looking For.
Must Have
Requires a Bachelor's degree in Computer Science, Engineering, or related field, with a minimum of 2 years of hands-on data engineering experience building and operating production data pipelines and platforms at scale. Additionally, a minimum of 2 years of experience managing engineering teams and 2+ years of experience building ML platform capabilities in a production environment are necessary. Proficiency with technologies like Kafka, Flink, Spark, Python, SQL, dbt, Databricks, and AWS is expected.
Nice to Have
Preferred qualifications include 5 years of experience managing engineering teams, deep data platform fluency across data modeling, schema evolution, data contracts, pipeline orchestration, and data quality, with ML platform experience as a natural extension. Experience standing up ML platform capabilities in a growth-stage environment, product and business curiosity, background in regulated environments (HIPAA, SOC 2), and experience with the Databricks ecosystem are also preferred. A demonstrated AI-forward mindset and experience incorporating AI tools into engineering workflows are a plus.
What You'll Do.
The Data Engineering Manager will lead the Data & ML Platform team, focusing on building and evolving the data backbone for personalized MSK care.
This role involves shaping a streaming-first, ML-ready architecture, ensuring reliable data flow across systems, and enabling analytics, experimentation, and machine learning at scale.
The manager will also operationalize ML models, drive schema governance, and enhance developer productivity.
How You'll Work.
Team & Collaboration
The manager will partner closely with Data Science, Product, and other engineering teams to align on ML and product use cases, drive schema governance with upstream service teams, and embed ML model operationalization workflows into the broader data ecosystem. Close partnership with Security and Compliance is also expected for operational rigor in regulated environments.
Communication Scope
Technical writing; Executive presentations
Process & Methodology
SLOs
Full Job Description
THE OPPORTUNITY Hinge Health is building the data and ML backbone that powers personalized MSK care for millions of members — from real-time product experiences to clinical insights and cost savings for our customers. As a Data Engineering Manager leading our Data & ML Platform team, you’ll sit at the intersection of data engineering, real-time systems, and ML enablement, owning the platforms that make analytics, experimentation, and machine learning reliable at scale. You’ll guide our evolution toward a streaming-first, ML-ready architecture, shaping how data flows consistently across systems and how product and Data Science teams build on top of it — all in service of reducing pain and improving movement for people around the world. This is not a pure infrastructure or ML engineering role. We’re looking for a data platform leader with strong data modeling instincts, product awareness, and enough ML platform experience to bridge both worlds. Our data platform is maturing and our ML platform capabilities are still early — you’ll make foundational architecture decisions, partner with Data Science to operationalize models, and lead both the team and the technical direction as a tech lead manager. Hinge Health operates a hybrid model in San Francisco. We believe that remote work and in-person work have their own advantages and disadvantages, and we want 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. WHAT YOU’LL ACCOMPLISH In your first 3 months, you will: - Deeply understand our current data and ML platform: batch and streaming pipelines, data models, orchestration, and data quality posture across analytics and production systems. - Build strong partnerships with Data Science, Product, and other engineering teams; align on top ML and product use cases the platform must unlock. - Take ownership
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