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Engineering Manager, Data Platform & ML Ops

Fingerprint
Location
Remote
Posted
2 months ago
Department
Engineering
Salary
$159,000 – $215,000
What they actually want (must-haves)
  • Minimum of 2 years of experience leading data engineering, ML engineering, or platform teams in an agile environment
  • At least 5 years of professional experience in data engineering, ML engineering, or adjacent software engineering, particularly within SaaS
  • Hands-on experience in both data infrastructure and ML systems
  • Strong technical background across data infrastructure and ML systems
  • Experience managing engineers across multiple technical disciplines
  • Proven ability to lead teams shipping high-reliability data products that prioritize quality and user impact
Nice to have
  • Familiarity with technologies: ClickHouse, DataBricks, dbt, Prefect, DataHub; AWS SageMaker; AWS; Snowflake or BigQuery
  • Experience with ML lifecycle tooling — training pipelines, model serving, and production monitoring
  • Experience with AWS and cloud-based data and ML infrastructure
What the job really is

As an Engineering Manager for the Data Platform & ML Ops team at Fingerprint, you will lead a team of 4-6 engineers focused on building and maintaining the company's data infrastructure and ML operations. Your role involves overseeing the data warehouse, managing the ML Ops lifecycle, and collaborating with various stakeholders to ensure high-quality data products. You will also be responsible for mentoring your team and promoting a culture of continuous learning and innovation.

Benefits
  • Salary range: $159k - $215k, based on location and experience
  • Pay transparency
  • Remote work flexibility
Things to weigh
  • No specific mention of benefits beyond salary and pay transparency
  • Role is fully remote, but candidates must be authorized to work in their home location
  • No visa sponsorship available
  • Company emphasizes a commitment to diversity and inclusion, which may appeal to candidates from underrepresented groups
Job score3.2/5
Benefits2/5
Freshness1/5
Career value4/5
Role clarity4/5
Pay transparency5/5

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