Mitek(NASDAQ: MITK) is a global leader in digital & biometric identity authentication, fraud prevention, and mobile deposit solutions. Our verified identity platform and advanced image capture solutions are built on the latest advancements in biometric recognition, artificial intelligence, computer vision and machine learning, and trusted by over 7,500 organizations worldwide. We are headquartered in San Diego, California, with operations in the United Kingdom, Spain, France, Mexico, and the Netherlands. Visit us at www.miteksystems.com.

At Mitek, we believe that teams are more resilient, effective, and innovative when they benefit from a wide range of ideas, lived experiences, and perspectives. The strength of our organization is deeply rooted in the people who power it.

We know that a workforce reflecting the richness of our communities and customers helps us better serve their needs. These lived experiences influence our decisions, shape our products, services, and help us grow with intention. When it comes to talent, our goal is clear: to discover exceptional individuals and to ensure they discover us. We prioritize drive, skill, experience, and ambition in everything we do for our clients.

We are Virtual 1st! Whether you choose to work remotely from your home office or in-person from one of Mitek’s offices, our practices, processes and tools are designed to enable your success. At Mitek, the Future of Work is about flexibility and preference wherever and whenever we are working.

We are seeking a Product Owner to drive execution of machine learning based capabilities across biometric authentication and document verification. This role is deeply embedded with machine learning, engineering, and fraud teams, ensuring initiatives are clearly defined, well scoped, and delivered into production with measurable impact. This is a hands-on delivery role, not a strategy ownership position.

The ideal candidate has direct experience building and operating ML driven products in biometric and document environments, understands how these systems behave in production, and is comfortable challenging assumptions, proposing alternatives, and pushing back when needed to ensure outcomes align with fraud risk, customer needs, and operational realities.

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 CollaborationServe as the primary product owner for ML and data science teams.Participate actively in model design discussions, prioritization, and tradeoff 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 SupportSupport 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 ExecutionPartner 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 AwarenessIncorporate 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 CoordinationWork 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 Knowledege, 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 FluencyStrong 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 tradeoffs between different modeling and data approaches without being a data scientist.

Execution and JudgmentComfortable 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 SkillsAble to clearly articulate ML concepts, risks, and tradeoffs 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.

$115,000 - $140,000 a year

We take pride in enabling career growth in an environment of innovation and teamwork. Our commitment to all Mitekians is to do meaningful work that matters. Our culture is defined by delivering our best to our customers by providing high value solutions and impactful outcomes, by continuously challenging convention, and by caring for each other through collaboration and celebrating our successes. We are committed to creating competitive, equitable compensation & benefits programs and career development opportunities.

Benefit offerings –may vary based on geographic location

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

We sincerely appreciate your interest in Mitek. We know your time is valuable and look forward to the potential of speaking with you further!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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Product Owner - Machine Learning