Engineering Manager, Fingerprint

Identification Accuracy

$159-215k

We set standard ranges for all US roles based on function, level, and geographic location, benchmarked against similar stage growth companies. To comply with local legislation and provide greater transparency, we share salary ranges on all job postings. However, these ranges are specific to the hiring location and may differ within or outside the US

dbt

Senior and Expert level

Remote from Canada, Europe, UK, US

More information about location

Device intelligence platform for fraud detection

Be an early applicant

Device intelligence platform for fraud detection

201-500 employees

B2BSaaSCyber Security

Be an early applicant

$159-215k

dbt

Senior and Expert level

Remote from Canada, Europe, UK, US

More information about location

201-500 employees

B2BSaaSCyber Security

Company mission

To power a safe and seamless internet through device intelligence.

Job

Company

Role

Who you are

Minimum of 2 years of experience in a leadership role in a ML or data science team in an agile, fast-paced environment
At least 5 years of professional experience in software engineering, machine learning, or a related technical discipline
Demonstrated ability to lead technical teams that ship production ML systems — from data pipelines and feature engineering through model training, evaluation, and deployment
Proven track record of building and developing high-performing, multidisciplinary teams including engineers, data scientists, and/or analysts
Strong communication skills with the ability to translate complex model behavior, data quality issues, and technical tradeoffs to both technical teammates and non-technical stakeholders
Demonstrated success driving outcomes in fast-moving, scaling environments where priorities evolve and ambiguity is the norm
You thrive at the intersection of people leadership and applied machine learning
You get excited about building and mentoring multidisciplinary teams — ML engineers, data scientists, analysts, and analytics engineers — working together to solve some of the hardest problems in fraud detection

Desirable

Experience managing teams that work with large-scale behavioral or event data in a production setting
Familiarity with ML infrastructure and MLOps tooling — experiment tracking (e.g., MLflow), feature stores, model registries, and CI/CD pipelines for ML
Background in fraud detection, identity, or trust & safety domains is a plus but not required
Hands-on experience with data stack technologies such as dbt or similar analytics engineering tooling
Comfort working closely with platform and API engineering teams to understand downstream requirements and latency constraints

What the job involves

At Fingerprint, the Identification Accuracy team is the engine behind the ML model powering our Identification API — Fingerprint's flagship product
This team is responsible for the accuracy, reliability, and continuous improvement of that model, directly impacting the trust our enterprise customers place in our platform
We are looking for an Engineering Manager to lead this team
In this role, you will foster a culture of high performance and scientific rigor, helping a diverse set of technical contributors grow while driving the roadmap that keeps Fingerprint's identification accuracy best-in-class
Lead and grow the Identification Accuracy team — a multidisciplinary group of ML Engineers, Data Scientists, Analysts, and Analytics Engineers — fostering psychological safety, technical excellence, and a culture of continuous improvement
Own the team's roadmap in close partnership with senior engineering leadership and cross-functional stakeholders, driving innovative solutions to identification-specific challenges and continuously raising the bar on model quality
Drive model accuracy outcomes by enabling your team to design, train, evaluate, and ship ML models that improve identification accuracy at scale across billions of devices
Build bridges across the organization — partnering closely with the Identification Engineering team (who operates the API your models power) as well as Product, and customer-facing teams to translate customer needs into technical priorities. Communicate effectively across technical and non-technical audiences, translating model performance and roadmap tradeoffs into language that resonates with business stakeholders and executive leadership

Our take

Digital fingerprinting is an essential process in web browsers that tracks the digital address of a device to monitor web activity. This technique facilitates the identification of fraud and spam, as well as warning signs of account takeovers. However, the success of this requires users to accept cookies, a requirement that is easy to avoid.

Fingerprint provides a digital fingerprinting tool that generates a unique identifier of browser activity without requiring the user to accept cookies. The service uses the same WebGL and canvas fingerprinting utilized by existing competitors, but instead of focusing on devices, it identifies web activity. Suspicious activity will result in the identified user being logged in a database, allowing the service to be improved for others.

With this innovative approach, Fingerprint has been able to build up an impressive client roster of over 6,000 companies, including 16% of the top 500 websites by traffic. As well as displaying sustained growth through funding rounds, the company has also continued to improve upon its offering.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

36% employee growth in 12 months

Glassdoor (4.6)

Company

Funding (last 2 of 4 rounds)

Oct 2023

$33m

SERIES C

Nov 2021

$32m

SERIES B

Total funding: $77m

Company benefits

Competitive salary: We offer competitive salaries and equity because we believe all employees should own a part of Fingerprint.
Flexible Time Off: To prioritize work-life balance, we even have a minimum vacation days target to encourage everyone gets the rest they need.
Remote-first: We work asynchronously and respect time-zone differences. Choose where and when you do your work best.
Tech: We hook you up with a MacBook so you can do your best work (you get to keep it after 4 years).
Culture: We're a small team with a lean hierarchy where you can make a real impact in shaping the company culture. Come grow with us!
Fun: We meet up as a company once a year (We went to Mexico City in 2023!) and teams meet up in smaller groups throughout the year.
Grow With Us: We want you to grow with us, so we offer a $600 yearly budget that you can spend to learn new stuff.
Personal Development: We give you the freedom to grow and experiment. Work on open-source projects and try new things and ideas.

Company HQ

Little Italy, Chicago, IL

Leadership

Valentin Vasilyev

(Co-FOunder & CTO)

Valentin worked as a Software Engineer for the first 9 years of their career, before holding Team Lead roles at Evrone and Machinio.com. They left this role in March 2019 to co-found Fingerprint the following month.

Dan Pinto

(Co-Founder & CEO)

Previously co-founded Machino, where they were CTO, and has experience in Software Engineering.

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