Fingerprint
Fraud Detection
EngineeringManager,IdentificationAccuracy
Neural analysis suggests this role is
optimal for Mid candidates.
“Engineering Manager, Identification Accuracy at Fingerprint. Skills: People Leadership, Applied Machine Learning, Team Mentoring, ML Model Development. Lead and grow the Identification Accuracy team. Own the team's roadmap”
What You'll Achieve.
Improve identification accuracy at scale; Raise the bar on model quality; Drive model accuracy outcomes
Industry & Context.
Solve some of the hardest problems in fraud detection
Authorized to work from home location, Cannot sponsor visas
What They're Looking For.
Must Have
Minimum of 2 years of experience in a leadership role in a ML or data science team, 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, Proven track record of building and developing high-performing, multidisciplinary teams, 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
Nice to Have
Experience managing teams that work with large-scale behavioral or event data in a production setting, Familiarity with ML infrastructure and MLOps tooling, Background in fraud detection, identity, or trust & safety domains, Hands-on experience with data stack technologies such as dbt or similar analytics engineering tooling, Comfort working closely with platform and API engineering teams
What You'll Do.
Lead and grow the Identification Accuracy team
Own the team's roadmap
Drive model accuracy outcomes
Build bridges across the organization
Communicate effectively across audiences
How You'll Work.
Team & Collaboration
Partnering with senior engineering leadership; Partnering with cross-functional stakeholders; Partnering with the Identification Engineering team; Partnering with Product; Partnering with customer-facing teams
Communication Scope
Translate complex model behavior; Translate data quality issues; Translate technical tradeoffs; Communicate across technical audiences; Communicate across non-technical audiences; Translate model performance; Translate roadmap tradeoffs
Full 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). We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Fingerprint recruiting email communications will always come from the @fingerprint.com domain. Any outreach claiming to be from Fingerprint via other sources should be ignored. Engineering Manager, Identification Accuracy 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-cl
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