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Engineering Manager, Identification Accuracy

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 Identification Accuracy team at Fingerprint, you will lead a multidisciplinary group focused on improving machine learning models that enhance fraud detection capabilities. Your role involves fostering team growth, managing the roadmap for model accuracy, and collaborating with various stakeholders to translate technical challenges into business priorities. You will also be responsible for driving innovative solutions and ensuring high performance within the team.

Our read on this posting3.2out of 5
benefits
1/5
freshness
1/5
career value
4/5
role clarity
5/5
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 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
  • Proven track record of building and developing high-performing, multidisciplinary teams
  • Strong communication skills with the ability to translate complex model behavior to technical and non-technical stakeholders
  • Demonstrated success driving outcomes in fast-moving, scaling environments

Nice to have

  • Background in fraud detection, identity, or trust & safety domains
  • Hands-on experience with data stack technologies such as dbt or similar analytics engineering tooling

Worth weighing

  • Salary range is broad and location-dependent, which may affect final offers
  • No visa sponsorship is available, candidates must be authorized to work from their home location
  • The company is fully remote, which may appeal to some but could be challenging for others seeking in-office collaboration

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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