Fingerprint
Engineering Manager, Data Platform & ML Ops
Remote. The employer does not say where candidates may be based.
Location not stated
Employer listed it 13 days ago · Added 2 days ago
First listed 13 days ago and still open.
Salary
$159,000 to $215,000
Location
Location not stated
Timezone
Not stated
Contract
Full-time
Experience
Mid
Category
Software
Stated by the employer in the job description
Remote flexibility
Undisclosed
The listing is advertised as remote but does not state which countries or regions candidates may work from.
Why this role is Undisclosed
We only label a role Work from anywhere, Region restricted or Work from home when the employer's own wording says so. We checked this advert under our current rules and found no country or region eligibility requirement in it. We don't guess, so it stays Undisclosed until the employer publishes enough location information. Here is exactly what the advert left out.
- Countries you can work from: Not stated. The advert only gives "Remote", which names no country you must live in.
- Whether the work is remote: Confirmed by the employer: "it's part of how we operate as a distributed, remote-first team."
- Working hours: Not stated. No timezone overlap or set hours are mentioned, so assume nothing either way.
Worth a look all the same. Missing wording is usually a rushed job posting rather than a closed door, so ask where you can be based in your first message, before you write a tailored application.
What the employer says
- Source listing states candidate location: "Remote"
What Nomaders makes of it
- No residency or region requirement found in the job description
- Check with the employer before assuming you can work from abroad
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
Fingerprint empowers enterprises to detect and stop online fraud with the world’s most accurate device intelligence. We lead our industry with bleeding-edge identification capabilities and work on turning new ideas and discoveries in the fraud detection space into reality. Our customers range from innovative startups to leading enterprise companies, including Plaid, Dropbox, and Booking.com.
Fingerprint is a globally dispersed, 100% remote company. We were named on on the 2026 Forbes Best Startup Employers list and ranked #803 on the 2026 Inc. 5000 list of America’s fastest-growing private companies.
We have raised $77M and are backed by Craft Ventures ( Tesla, Facebook, Airbnb ), Nexus Venture Partners ( Postman , Apollo.io, MinIO , Druva) and Uncorrelated Ventures ( Redis, Rollbar, Gradle ).
About the Role:
We are looking for an Engineering Manager to join our Data Platform & ML Ops team . In this role, you will lead the team responsible for Fingerprint's data foundation — from our internal data warehouse that powers business intelligence and product analytics, to the full ML Ops lifecycle that turns raw signals into production models. You'll foster a culture of high performance, helping engineers grow while delivering the reliable, scalable infrastructure our identification and smart signals products depend on. We believe that diverse perspectives fuel innovation, and we encourage candidates from all backgrounds and experiences to apply.
Responsibilties:
Lead and mentor a team of 4-6 engineers spanning data platform and ML operations.
Own the reliability, scalability, and evolution of Fingerprint's internal data warehouse — the foundation for business analytics and a direct input to our flagship identification and smart signals products.
Oversee the full ML Ops lifecycle end-to-end: experimentation, training pipelines, model deployment, and production monitoring.
Provide technical leadership by collaborating with senior engineers, guiding architecture decisions, and reviewing complex technical proposals.
Work closely with data scientists, product managers, data analysts and engineering leads to translate data and ML investments into measurable product outcomes.
Coach and support engineer growth, promoting continuous learning across a fast-moving data and ML landscape.
Define and evolve platform standards, tooling, and best practices across both domains.
Requirements:
Minimum of 2 years of experience leading data engineering, ML engineering, or platform teams in an agile environment. Experience leading teams in a startup or high-growth company.
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 is a must — you don't need to be an expert in both, but you should be technically credible on both sides of the house.
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.
Demonstrated success driving change and innovation in fast-paced, scaling environments.
Preferred 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.
Compensation & Transparency
Requirements
- ·Minimum of 2 years of experience leading data engineering, ML engineering, or platform teams in an agile environment. Experience leading teams in a startup or high-growth company.
- ·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.
- ·Demonstrated success driving change and innovation in fast-paced, scaling environments.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, undisclosed, matches where you plan to live and work.
- 2Tailor your CV to the role at Fingerprint, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 3d ago. Last checked 23 Sept. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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