Senior Product Manager, Veriff

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

Desirable

• 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
• 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