Engineering Manager, Identification Accuracy

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Workplace: RemoteFull timeFunction: Software EngineeringExperience: 2+ yearsSkills: ["Communication","Leadership","Problem-solving"]

Lead a multidisciplinary Identification Accuracy team (ML Engineers, Data Scientists, Analysts, Analytics Engineers) to improve identification model accuracy at scale. Own the team roadmap with cross-functional partners, drive production ML systems from data pipelines to deployment, and translate technical tradeoffs into business impact for executives and stakeholders.

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FursaFursa
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2 months ago

Engineering Manager, Identification Accuracy

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Lead a multidisciplinary Identification Accuracy team (ML Engineers, Data Scientists, Analysts, Analytics Engineers) to improve identification model accuracy at scale. Own the team roadmap with cross-functional partners, drive production ML systems from data pipelines to deployment, and translate technical tradeoffs into business impact for executives and stakeholders.
Location: Anywhere
Workplace: Remote
Employment Type: Full time
Job Function: Software Engineering
Seniority: Manager level

Key Responsibilities

  • •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 and communicate effectively with stakeholders.

Key Requirements

  • •2+ years in a leadership role in an ML or data science team in an agile, fast-paced environment
Experience:2+ yearsFraud detectionIdentityTrust
Skills:CommunicationLeadershipProblem-solving
Languages:English
Tech Stack:PythonSQLDbtMLflow

Company Brief

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Provides passwordless authentication and device intelligence solutions to help businesses verify users and prevent fraud. Offers passkey-based authentication, risk signals, and developer-friendly APIs to replace passwords and improve account security and user experience.
Industry: Cybersecurity
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