Physical document IDV is Veriff's flagship product: how millions of people prove who they are to fintechs, marketplaces, mobility platforms, and government agencies.
It's fundamentally a machine learning system: document classification, data extraction, fraud and spoofing detection, coverage across thousands of document types and alphabets.
Some versions also keep a human in the loop, so decision quality depends as much on operations as on models.
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.
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 Veriff 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 Veriffian 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.