Hinge Health

Engineering Manager

Hinge Health

full-time

Posted on:

Location Type: Hybrid

Location: India

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Tech Stack

PySparkSQL

About the role

  • Build the "Intelligence Layer": Architect the real-time decisioning layer that ingests ML signals and routes them to execution platforms.
  • Operationalize Growth ML Models: Partner with Data Science to serve and monitor predictive models.
  • Lead the Transition to Harness Engineering: Drive the adoption of AI-native workflows.
  • Guarantee Data Trust: Implement automated data sentinels and contract tests.

Requirements

  • 2+ years of experience managing engineering teams.
  • 3+ years of experience with data engineering technologies including PySpark, Databricks, and SQL.
  • Understanding of production data pipelines and data lifecycle management.
  • Experience with ML Ops and Model Serving.
Benefits
  • Inclusive healthcare and benefits: Comprehensive medical, dental, and vision coverage.
  • Lifestyle stipend to support overall well-being.
  • Learning and development opportunities to grow personally and professionally.
  • Discounted company stock through our ESPP with easy payroll deductions.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PySparkDatabricksSQLML OpsModel Servingdata engineeringdata lifecycle managementreal-time decisioningpredictive modelsautomated data sentinels
Soft Skills
team managementleadershipcollaborationcommunicationproblem-solving