Data Engineering Manager (ML Platform)

Location: Hybrid in San Francisco, United States; office attendance is required 3 days per week for full business days.

Salary: $220,000–$330,000 annual base salary, plus equity and benefits.

Company

hirify.global uses AI-powered technology and personalized care to scale healthcare for musculoskeletal conditions, serving health plans, employers, and millions of members.

What you will do

• Lead the data and ML platform strategy across batch, streaming, and machine learning workloads.
• Evolve the platform toward streaming-first, ML-ready architecture with improved freshness, consistency, and discoverability.
• Design feature pipelines, feature store capabilities, and model serving patterns for Data Science teams.
• Establish schema governance, data contracts, SLOs, observability, incident management, and operational standards.
• Improve developer productivity through tooling, templates, CI/CD, and testing practices.
• Build, mentor, and retain a high-performing data engineering team while partnering with Data Science, Product, Security, and Compliance.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• At least 2 years of hands-on experience building and operating production data pipelines, platforms, and infrastructure at scale.
• At least 5 years of experience managing engineering teams, including hiring, developing, and retaining technical talent.
• At least 2 years of experience building production ML platform capabilities such as feature pipelines, feature stores, model serving, or ML workflow infrastructure.
• Experience with batch and streaming systems, data modeling, schema evolution, data contracts, orchestration, data quality, and regulated environments such as HIPAA or SOC 2.
• Proficiency with technologies such as Python, SQL, Spark, dbt, Databricks, AWS, Kafka, or equivalent tools.

Nice to have

• Experience with Delta Lake, MLflow, Unity Catalog, or similar technologies.
• Experience taking ML platform capabilities from 0 to 1 or 1 to 10 in a growth-stage or scaling environment.
• Experience incorporating AI tools into engineering workflows and mentoring teams on safe AI-native practices.

Culture & Benefits

• Hybrid work model combining remote work with regular in-person collaboration.
• Medical, dental, and vision coverage for employees and family members.
• Support for gender-affirming care, family and fertility planning, and healthcare travel reimbursements.
• Traditional and Roth 401(k) options with a 2% company match.
• Learning and development stipends.