Data Platform Engineering Manager: ML & Data Infra Lead

Polluxa, Inc.

San Francisco (CA)

On-site

USD 180,000 - 290,000

Full time

10 days ago

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Job summary

Polluxa, Inc. is seeking an experienced Senior Engineering Manager in San Francisco to lead a team spanning data storage, feature store/ML platform, and underwriting pipelines.

You will hire, mentor, and develop engineers while driving architecture and technical strategy for critical cloud-based data infrastructure. You will stay hands-on by reviewing designs, guiding implementation, and owning reliability and on-call processes, ensuring strong cross-functional collaboration with DS, product,

Qualifications

  • 5+ years software engineering experience, including leadership.
  • 2+ years in a technical leadership or management role.
  • Strong background in data infrastructure and ML platforms.
  • Experience with data lakehouse stacks and cloud infra.

Responsibilities

  • Manage and grow a team of 5-6 engineers across data storage, feature store, and underwriting platforms.
  • Set and drive execution and technical strategy for warehouse, feature store/ML lifecycle, and underwriting pipelines.
  • Review designs and code; unblock hard problems; drive architecture on high-priority initiatives.
  • Own reliability and on-call; build incident response, SLAs, and recoverability practices.
  • Partner with underwriting data science and product engineering teams.
  • Represent roadmap and tradeoffs to cross-functional stakeholders; prioritize data infra, ML platform, and underwriting needs.

Skills

Leadership
Code review
Mentorship
Hiring
Team building
Technical strategy
Stakeholder communication

Tools

Databricks
Airflow
dbt
Spark/PySpark
AWS

Job description

Polluxa, Inc. is seeking an experienced Senior Engineering Manager in San Francisco to lead a team spanning data storage, feature store/ML platform, and underwriting pipelines.

You will hire, mentor, and develop engineers while driving architecture and technical strategy for critical cloud-based data infrastructure. You will stay hands-on by reviewing designs, guiding implementation, and owning reliability and on-call processes, ensuring strong cross-functional collaboration with DS, product,

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