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– Charleston, WV | Remote | Full-time | Posted 12 hours ago
Mitek is a global leader in digital & biometric identity authentication, fraud prevention, and mobile deposit solutions.
We are seeking a Product Owner to drive execution of machine learning based capabilities across biometric authentication and document verification. This is a hands‑on delivery role, not a strategy ownership position.
What You Will Do (Essential Responsibilities)
ML Feature and Capability Ownership
Own and manage the backlog for ML‑driven biometric and document verification capabilities.
Translate fraud, identity, and customer requirements into clear and actionable ML work items.
Partner closely with ML engineers and data scientists to refine problem statements into feasible deliverables.
Define acceptance criteria that reflect real‑world performance, not just offline model metrics.
Embedded ML Team Collaboration
Serve as the primary product owner for ML and data science teams.
Participate actively in model design discussions, prioritization, and trade‑off analysis.
Challenge scope, timelines, and modeling approaches when misaligned with business or risk objectives.
Propose alternate ideas across data strategy, modeling approaches, workflow design, or deployment patterns.
Production Readiness and Lifecycle Support
Support model lifecycle activities including training, evaluation, deployment, and retraining.
Ensure monitoring, drift detection, and feedback loops are incorporated into delivery plans.
Help define rollout, experimentation, and rollback guardrails.
Data and Labeling Execution
Partner with agent operations and data teams on labeling strategy and data quality.
Help define labeling schemas and workflows to support effective model training.
Identify risks related to label noise, bias, or insufficient coverage across geographies and document types.
Fraud and Adversarial Awareness
Incorporate fraud patterns and adversarial thinking into backlog prioritization.
Ensure features and models are resilient to evolving attack vectors such as spoofs, deepfakes, and injection attacks.
Support layered and defense‑in‑depth approaches rather than single model dependency.
Cross Functional Coordination
Work closely with engineering, fraud, compliance, legal, and customer teams.
Support internal and external conversations where ML behavior or performance needs explanation.
Translate technical constraints into clear delivery expectations for non‑technical stakeholders.
What You Will Need (Required Knowledge, Skills & Abilities)
Experience
3‑5 years of experience in product ownership, product management, or equivalent delivery‑focused roles.
Demonstrated experience supporting ML‑based products in production.
Direct experience working with data science and ML engineering teams.
Domain and Technical Fluency
Strong working knowledge of computer vision and ML fundamentals.
Experience with biometric technologies such as face matching, liveness detection, and spoof prevention.
Experience with document verification, document classification, or document fraud detection.
Hands‑on experience building ML‑based products in the biometric and document identity space is highly valuable.
Ability to evaluate trade‑offs between different modeling and data approaches without being a data scientist.
Execution and Judgment
Comfortable pushing back on ML teams when solutions are over‑engineered, misaligned, or not production ready.
Able to propose alternate approaches grounded in data availability, fraud realities, and delivery constraints.
Strong attention to detail and a bias toward shipping reliable and measurable capabilities.
Communication Skills
Able to clearly articulate ML concepts, risks, and trade‑offs to non‑technical stakeholders.
Comfortable supporting customer‑facing or internal discussions around model behavior and limitations.
Able to document requirements and acceptance criteria with precision.
What Would Be Nice (Preferred Experience)
Hands‑on experience shipping biometric or document‑based ML solutions into production.
Experience in fraud, identity, or regulated environments such as financial services or fintech.
Familiarity with model monitoring, drift management, and feedback loops.
Experience working with global document types and jurisdictional variation.
What We Offer
Work with a global leader in Digital Identity and Fraud prevention.
Build products that power secure, seamless digital experiences.
High‑impact role in a fast‑growing market.
Excellent working atmosphere and great culture.
100% remote‑friendly (with optional work from our San Diego, CA office).
Work with a diverse global team passionate about technology and impact.
Continuous learning and growth opportunities.
We take pride in enabling career growth in an environment of innovation and teamwork.
Benefit Offerings
Wellness: Universal, supplemental, and private healthcare plan choices based on country specifics
Financial future: retirement/pension plan contributions, MTK stock plan participation
Income protection: life event & disability coverage
Paid time off: generous annual leave, company holidays, volunteer time off
Learning: e‑learning license, tuition reimbursement, hackathons
Home office setup allowance
Additional/optional benefits: pet insurance, identity theft protection, legal assistance
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Sprachkenntnisse
- English
Hinweis für Nutzer
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