Senior Product Manager, Biometric Authentication — Remote, Equity

Veriff; Richmond (VA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Flexibility to work from home

Stock options

Extra recharge days

Medical, dental, and vision insurance

Learning and Development & Health and

Four weeks of fully paid sabbatical

Job summary

Veriff is seeking a Senior PM to own Biometric Authentication, leading strategy, roadmap, and execution across a cross-functional squad. You’ll drive revenue-focused decisions, balance cost and latency in large contracts, and act with high ownership in a fast-moving, distributed environment.

The role requires working across ML, engineering, and design teams, with autonomy within ~60 days and a focus on adoption, conversion, and revenue as core outcomes.

Qualifications

• Technical background with systems knowledge, ML awareness, and metrics.
• Experience with scale-up environments and high ambiguity.
• Strong understanding of B2B2C user experience in business products.
• 5+ years in product management, fintech or marketplace experience.
• Background in authentication, security, or identity.

Responsibilities

• Own Biometric Authentication end-to-end: strategy, roadmap, execution with ML, engineering and design.
• Own a commercial metric; diagnose gaps and drive changes with sales/GTM.
• Make scale decisions balancing cost, conversion, and latency in live contracts.
• Lead a tight customer-feedback loop to shape a defensible roadmap.
• Own competitive positioning and pricing grounded in unit economics.
• Operate with high agency and achieve independent operation within ~60 days.

Skills

Technical background

Distributed systems

Machine learning

SDK delivery

Ability to code

Job description

Veriff is seeking a Senior PM to own Biometric Authentication, leading strategy, roadmap, and execution across a cross-functional squad. You’ll drive revenue-focused decisions, balance cost and latency in large contracts, and act with high ownership in a fast-moving, distributed environment.

The role requires working across ML, engineering, and design teams, with autonomy within ~60 days and a focus on adoption, conversion, and revenue as core outcomes.