ABOUT THE JOB

We are looking for a Senior Product Manager to own this core domain. You will sit directly between two demanding groups: machine learning engineers building models, and enterprise customers asking hard questions about accuracy, latency, and edge-case failure modes. Your job is to translate complex technical trade-offs into business outcomes.

You’ll help us protect honest people online by:

• Owning the technical roadmap for physical document IDV — accuracy, coverage, fraud detection, conversion — and defending it across the company

• Partnering with data scientists and ML engineers on model and system trade-offs: framing the problem, defining what “better” means, focusing effort where it moves customer outcomes

• Trading off accuracy, conversion, latency, and cost against live enterprise contracts

• Being the voice of our  in complex customer calls: running technical deep-dives, answering detailed accuracy questions credibly, and knowing when to say we can’t do it yet

• Partnering with operations on the human-in-the-loop side of the product, and with our annotation teams on the data the models are trained and evaluated on

• Working across product marketing, legal and privacy, analytics, and go-to-market to launch, position, and scale what you build

You are the right future  for the job if you have:

• 4+ years of end-to-end B2B/B2B2C Product Management experience, ideally in identity, computer vision, fraud, or high-throughput ML systems.

• ML Fluency: You do not build models, but you speak fluent precision/recall, understand loss functions, and know how thresholds impact user conversion.

• Technical Independence: Ability to write queries, debug data pipelines, and conduct root-cause analysis without waiting for an analyst.

• Customer Credibility: Comfort having tough, highly technical conversations with enterprise clients when systems fail or trade-offs must be made.

• Experience thriving in a scale-up — high ambiguity, fast pace, changing priorities

• Fluent English, written and verbal

You’re an especially awesome match if you have:

• Experience in identity verification, document security, computer vision, or fraud

• Familiarity with regulated industries such as finance, mobility, or government tech

• Previous software engineering or data science experience

• A degree in a quantitative field

We care more about whether you can reason well about ML systems than how many years of your career have been spent inside one.

Why us?

• Flexibility to work from home

• Stock options that ensure your share in our success

• Extra recharge days on top of your annual vacation

• Extensive medical, dental, and vision insurance to ensure you’re feeling great physically and mentally

• Learning and Development & Health and Sports budget that you are free to tailor to your own needs

• Four weeks of fully paid sabbatical leave after reaching your 5th work anniversary

Are you interested in this position?