Engineering Manager, Data Platform & ML Ops
Fingerprint · Remote
Posted about 3 months ago · $159,000 – $215,000
or apply directly on Fingerprint's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 78 days Fingerprint's roles stay open a median of 73 days
- Reposted
- No
- Salary listed
- Yes 91% of Fingerprint's roles list one
- Ghost-job risk at Fingerprint
- high 23 stale, 2 reposted of 23 open
- Hiring momentum
- 34 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-23
Measured from postings appearing on and disappearing from Fingerprint's own greenhouse board since 2026-08-03. Full hiring picture for Fingerprint.
About this role
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
- 2/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Fingerprint as an employer.
What you need
- 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 you get
- Salary range: $159k - $215k, based on location and experience
- Pay transparency
- Remote work flexibility
Worth weighing
- 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
Summarised from Fingerprint's posting. Read the full original.
Listed by Fingerprint on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.
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