[![Image]() Meet Jobicy Copilot — free AI autofill for job applications + remote job alerts ›](#) [All remote jobs](https://jobicy.com/jobs.md)Open role[![Veriff logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/4f972095-221.jpg)](https://jobicy.com/company/veriff.md)Remote opportunity at[Veriff](https://jobicy.com/company/veriff.md) # Senior Product Manager (Document Verification) Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/veriff.md)Share13 Sep 2026Published46Listing views1Application actions13 Oct 2026Apply before Opportunity details ## About this role. AI SummaryVeriff is seeking a Senior Product Manager to own the roadmap for its physical document identity-verification product. The role connects machine learning, data, operations, legal, product marketing, and enterprise customers to improve accuracy, document coverage, fraud detection, conversion, latency, and cost. The successful candidate will make technical product trade-offs involving model performance, human-in-the-loop workflows, and customer contract requirements. This is a senior, highly autonomous scale-up role requiring strong ML literacy, analytical capability, and credibility in detailed enterprise technical discussions. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThe role requires making consequential product decisions across complex ML systems, fraud prevention, operational workflows, and enterprise commitments. Success depends on independently interpreting data and translating precision, recall, latency, and cost trade-offs into customer and business outcomes. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job medianMarket rate$160,000US market range$135k–$190k0$209k AI insightNo actual salary, pay range, or compensation amount is disclosed in the posting. The figures shown are estimated US-market yearly base-salary benchmarks in USD for a senior technical product manager specializing in ML-driven identity verification and fraud products; equity and benefits may be additional. ## Core skills Skills and capabilities most closely associated with this opportunity. [Product Management](https://jobicy.com/jobs?search_keywords=Product%20Management.md)[Machine Learning](https://jobicy.com/jobs?search_keywords=Machine%20Learning.md)[Identity Verification](https://jobicy.com/jobs?search_keywords=Identity%20Verification.md)[Document Verification](https://jobicy.com/jobs?search_keywords=Document%20Verification.md)[Fraud Detection](https://jobicy.com/jobs?search_keywords=Fraud%20Detection.md)[Computer Vision](https://jobicy.com/jobs?search_keywords=Computer%20Vision.md)[B2B SaaS](https://jobicy.com/jobs?search_keywords=B2B%20SaaS.md)[Product Roadmaps](https://jobicy.com/jobs?search_keywords=Product%20Roadmaps.md)[Data Analysis](https://jobicy.com/jobs?search_keywords=Data%20Analysis.md)[Enterprise Customers](https://jobicy.com/jobs?search_keywords=Enterprise%20Customers.md) Sample interview questionsHow would you prioritize an improvement that increases fraud detection but reduces legitimate-user conversion?I would quantify the impact by customer segment, document type, geography, and risk level, then compare fraud-loss reduction against conversion loss and operational cost. I would test threshold or workflow changes through controlled experiments, define guardrails for false rejects, and align the final decision with contractual commitments and customer risk tolerance. How do precision, recall, and decision thresholds affect a document-verification product? Precision indicates how often positive decisions are correct, while recall indicates how much of the relevant population the system successfully identifies. Adjusting a threshold can reduce fraud leakage but may increase false rejections and lower conversion, so I would choose thresholds based on the intended risk, user-experience, and business outcomes. Describe how you would investigate an increase in verification failures for a specific identity document. I would segment the failure data by document version, country, capture device, image quality, model score, and workflow path. I would validate whether the issue is caused by input quality, extraction logic, model drift, a data-pipeline issue, or operational handling, then prioritize a mitigation such as routing changes, annotation, model retraining, or customer communication. How would you run a technical discussion with an enterprise customer after an edge-case verification failure? I would clearly explain the observed behavior, the scope of the issue, and the evidence available without overstating certainty. I would discuss the relevant trade-offs and immediate mitigations, document agreed success criteria, and provide a transparent follow-up plan with product, engineering, and operations owners. How would you collaborate with human-in-the-loop operations teams to improve model outcomes? I would treat operations feedback and adjudication outcomes as a core product-data source. Together, we would establish clear decision policies, measure reviewer consistency and turnaround time, identify high-value cases for annotation, and use the findings to improve both model evaluation and the end-to-end user workflow. 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 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 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 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 Veriff? We are the preferred identity verification platform partner for the world’s most innovative growth-driven organizations helping conveniently verify and safeguard users anywhere in the world. We support the broadest number of identity documents from nearly every country and territory in the world – and this is continually increasing! With a diverse team in the United States, United Kingdom, Spain, and Estonia, as well as robust backing and funding from investors including Accel, Alkeon, IVP, Tiger Capital, and Y Combinator, we’re dedicated to helping businesses and individuals build a safer and more secure world. We strive to be the benchmark for trust online, and we take pride in being a positive force.When you join Team Veriff, we offer you the opportunity to have a real impact and advance your career whilst looking after you along the way with a range of benefits designed with you in mind. Some of our favourites include… * 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 We are an Equal Opportunities employer committed to a diverse and representative team. Different opinions, perspectives, and personalities push us forward. We want to hear from people who are passionate about their work and align with our values. Regardless of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability. We also know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates – so rest assured, whoever you are, we want to hear from you! Please take the time to read our Recruitment Privacy Notice, which explains how we collect and process your data for recruitment-related activities in accordance with applicable laws. Please read the information carefully. By submitting the application with the required information, you acknowledge that Veriff processes the information for recruitment purposes. Please be informed that in the final stage of the recruitment process, we may request that you undergo identity verification. For more information, please see [Recruitment Privacy Notice](https://www.veriff.com/recruitment-privacy-policy). #LI-LP1 #TBT Show more [Apply now >](https://jobicy.com/jobs/153161-senior-product-manager-document-verification.md) > Annual salary information is not provided for this position. 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