Engineering Manager, Identification Accuracy

Fingerprint; Chicago (IL); On-site; USD 159,000 - 215,000; Full time

Job summary

Fingerprint, a globally remote company, seeks an Engineering Manager to lead the Identification Accuracy team—an interdisciplinary group of ML engineers, data scientists, analysts, and analytics engineers. You will drive roadmap, foster high performance, and advance accuracy of Fingerprint's flagship Identification API.

You will mentor diverse contributors, partner with product and API teams, and translate technical tradeoffs into business terms for leadership.

Qualifications

• Minimum of 2 years of leadership experience in ML or data science in an agile, fast-paced environment.
• At least 5 years of professional experience in software engineering, machine learning, or related technical discipline.
• Proven track record of leading teams that ship production ML systems from data pipelines to deployment.
• Experience building and developing high-performing multidisciplinary teams including engineers, data scientists and analysts.
• Strong communication skills translating model behavior and data quality issues to technical and non-technical stakeholders.

Responsibilities

• Lead and grow the Identification Accuracy team with multidisciplinary members.
• Own the team's roadmap in partnership with senior leadership and stakeholders.
• Drive model accuracy by enabling the team to design, train, evaluate, and deploy ML models at scale.
• Build bridges across product, API, and analytics teams and communicate roadmap tradeoffs to executives.

Skills

Leadership experience

Software engineering

Machine learning

Communication skills

Agile methodologies

Cross-functional collaboration

Tools

MLflow

Feature stores

CI/CD for ML

dbt

Job description

Fingerprint empowers developers to stop online fraud at the source.
We work on turning radical new ideas in the fraud detection space into reality. Our products are developer-focused and our clients range from solo developers to publicly traded companies. We are a globally dispersed, 100% remote company with a strong open-source focus. Our flagship open-source project is FingerprintJS (27K stars on GitHub).
We have raised $77M and are backed by Craft Ventures (previously invested in Tesla, Facebook, Airbnb ), Nexus Venture Partners (previously invested in Postman, Apollo.io, MinIO, Druva) and Uncorrelated Ventures (previously invested in Redis, Rollbar & Gradle).

The Role

Do you thrive at the intersection of people leadership and applied machine learning? Do 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?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.

What You'll Do

• 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.

Requirements

• 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.

Preferred Qualifications

• 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.

Compensation Range

For US-based employees, the cash compensation range for this role is $159,000 – $215,000. 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.

Offers vary depending on, but not limited to, relevant experience, education, certifications/licenses, skills, training, and market conditions.

Due to regulatory and security reasons, there's a small number of countries where we cannot have Fingerprint teammates based. Additionally, because Fingerprint is an all-remote company and people can join our workforce from almost any country, we do not sponsor visas. Fingerprint teammates need to be authorized to work from their home location.

We are dedicated to creating an inclusive work environment for everyone. We embrace and celebrate the unique experiences, perspectives and cultural backgrounds that each employee brings to our workplace. Fingerprint strives to foster an environment where our employees feel respected, valued and empowered, and our team members are at the forefront in helping us promote and sustain an inclusive workplace. We highly encourage people from underrepresented groups in tech to apply.

If you are applying as a resident of California, please read our CCPA notice here

If you are applying as a resident of the EU, please read our GDPR notice here