About the role

  • Engineering Manager leading a team into AI-Native Engineering for Hinge Health. Focused on data pipelines and ML-driven growth strategies in Bengaluru.

Responsibilities

  • Build the "Intelligence Layer": Move beyond simple data piping. Architect the real-time decisioning layer that ingests ML signals (e.g., Churn Risk, Propensity to Convert) and routes them instantly to execution platforms like **Iterable**.
  • Operationalize Growth ML Models: Partner with Data Science to take predictive models out of the lab and into production. You will own "Phase 3" of the model lifecycle: hardening, serving, and monitoring models that control millions of dollars in marketing spend.
  • Lead the Transition to Harness Engineering: Drive the adoption of AI-native workflows (using tools like Cursor and Claude Code). Shift the team’s focus from "typing code" to building the **test harnesses, specs, and safety rails** that allow agents to autonomously maintain our pipelines.
  • Guarantee Data Trust ("Glass Box" Observability): Champion a culture of radical observability. Implement automated "data sentinels" and contract tests that catch schema violations and freshness issues *before* they impact our marketing campaigns.

Requirements

  • 2+ years of experience managing engineering teams. You are a "player-coach" who can build a "One Team" culture, bridging the gap between SF and Bangalore with high-agency leadership.
  • 3+ years of experience with data engineering technologies including experience with distributed data processing frameworks (e.g., PySpark, Databricks) and SQL.
  • Experience with production data pipelines and understanding of data lifecycle management, including pipeline orchestration, monitoring, and operational excellence practices.

Benefits

  • Inclusive healthcare and benefits: In addition to comprehensive medical, dental, and vision coverage, we provide employees and their family members with Group Medical Coverage (GMC), Group Term Life Insurance (GTL), and Group Personal Accident Insurance (GPA).
  • Grow with us - buy discounted company stock through our ESPP with easy payroll deductions.
  • Modern life stipends: We also offer a lifestyle stipend to support your overall well-being, along with learning and development opportunities to help you grow both personally and professionally..

Job title

Engineering Manager

Job type

Experience level

Mid levelSenior

Salary

$212,000 - $318,000 per year

Degree requirement

Bachelor's Degree

Location requirements

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