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Document Verification Jobs (NOW HIRING)

Saransh Inc

FPGA Verification Engineer

Mountain View, CA · On-site

$153K - $197K/yr

Document verification results and provide clear and concise reports. Skills Required: * Strong understanding of FPGA design principles and architectures. * Proficiency in SystemVerilog and UVM ...

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How much do document verification jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for document verification in the United States is $20.63, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $24.52 per hour, depending on experience, location, and employer.

What are some typical challenges faced in a Document Verification role?

One common challenge in Document Verification is handling large volumes of sensitive paperwork or digital files while maintaining accuracy and consistency. The work often involves tight deadlines and requires constant vigilance to spot errors, fraudulent documents, or non-compliance with regulations. As digital transformation increases, you may also need to adapt quickly to new software systems and evolving security protocols. Collaboration with compliance officers, HR, or customer service teams is frequent, so strong interpersonal skills and flexibility can help you succeed in overcoming these challenges.

What are the key skills and qualifications needed to thrive in the Document Verification position, and why are they important?

To thrive in Document Verification, you need keen attention to detail, data entry expertise, and knowledge of relevant compliance standards, often supported by a high school diploma or higher. Familiarity with document management software, database platforms, and occasionally certification in anti-fraud or compliance tools is useful. Strong organizational skills, effective communication, and discretion when handling sensitive information help you stand out in this role. These abilities ensure that records are accurately validated, risks are minimized, and organizational integrity is maintained.

What is a Document Verification job?

A Document Verification job involves checking, validating, and ensuring the authenticity of documents submitted by individuals or organizations. This process is commonly used in banking, finance, government, and corporate sectors to prevent fraud and ensure compliance with regulations. Responsibilities may include reviewing identity documents, cross-checking information, and maintaining accurate records. Strong attention to detail and knowledge of verification procedures are essential for this role.

More about Document Verification jobs
What cities are hiring for Document Verification jobs? Cities with the most Document Verification job openings:
What are the most commonly searched types of Document Verification jobs? The most popular types of Document Verification jobs are:
What states have the most Document Verification jobs? States with the most job openings for Document Verification jobs include:
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Document Verification jobs near you
Infographic showing various Document Verification job openings in the United States as of July 2026, with employment types broken down into 86% Full Time, and 14% Temporary. Highlights an 86% In-person, and 14% Hybrid job distribution, with an average salary of $42,911 per year, or $20.6 per hour.
Senior Product Manager - Document Verification

Senior Product Manager - Document Verification

Socure

New York, NY • On-site

$170K - $205K/yr

Full-time

Re-posted 25 days ago

Job description

Why Socure?
Socure is building the identity trust infrastructure for the digital economy - verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.
We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won't be your place. If you want to help build the future of identity with a team that holds a high bar for itself - keep reading.
About the Role
We are looking for a Senior Product Manager to own critical components of Socure's Document Verification (DocV) platform, with a focus on the forensic engine, decisioning logic, and computer vision models.
This role sits at the intersection of machine learning, fraud detection, and product decisioning, and is responsible for driving the systems that translate signals into outcomes. You will work closely with Data Science and Engineering to improve detection of fraud vectors such as injection attacks, deepfakes, and document manipulation, while also shaping how those signals are operationalized into scalable and configurable decisioning frameworks.
This is a highly technical and impact-driven role requiring strong product judgment, deep curiosity about fraud patterns, and the ability to translate complex model behavior into clear product logic and customer-facing outcomes.
What You'll Do
Forensic Engine & Detection Strategy
  • Own the roadmap and execution for DocV's forensic engine, including detection of document fraud, injection attacks, and AI-generated content.
  • Support efforts to scale DocV adoption globally, including in the public sector, financial services, and emerging markets.
  • Partner with Data Science to define, evaluate, and improve model performance across key fraud vectors.
  • Identify gaps in detection coverage and drive new signal development across image, video, and device layers.

Decisioning & Risk Logic
  • Design and evolve decisioning frameworks that translate model outputs into actionable outcomes.
  • Build scalable, configurable logic that supports diverse customer risk profiles and use cases.
  • Balance fraud detection performance with user experience and conversion impact.

Customer-Centric Product Development
  • Work closely with high-value customers to understand fraud patterns, edge cases, and operational needs.
  • Translate customer feedback into product improvements and prioritization decisions.
  • Support complex customer implementations and act as a subject matter expert in DocV decisioning.

Cross-Functional Leadership
  • Collaborate with Engineering and Data Science to translate product requirements into technical execution.
  • Partner with the Fraud Investigation team, Customer Success, and Sales to align on product behavior and outcomes.
  • Drive alignment on tradeoffs between detection accuracy, false positives, and business impact.

Data & Performance Analysis
  • Use SQL and analytics tools to evaluate model performance, decisioning outcomes, and conversion impact.
  • Define and track key metrics related to fraud detection, model precision/recall, and user experience.
  • Conduct deep dives into fraud patterns and emerging attack vectors.

Go-To-Market & Enablement
  • Support product launches and enhancements with clear positioning and documentation.
  • Enable internal teams and customers to understand and effectively use decisioning capabilities.

What You Bring
  • Experience: 3-5 years in product management, preferably in identity verification, fraud prevention, or other ML-driven products.
  • Technical Expertise: Strong understanding of APIs, SQL queries, databases, and product architecture.
  • Machine Learning Familiarity: Experience working closely with ML models, including understanding model outputs, evaluation metrics, and tradeoffs.
  • Computer Vision (Preferred): Exposure to image processing, OCR, or document verification systems is a strong plus.
  • Fraud & Identity Domain Knowledge: Familiarity with fraud detection techniques, identity verification flows, or risk-based decisioning systems.
  • Analytical Skills: Comfortable working with data, writing queries, and deriving insights to inform product decisions.
  • Product Judgment: Ability to balance technical complexity, customer needs, and business impact in decision-making.
  • Customer Focus: Experience working directly with customers, especially in complex or high-stakes environments.
  • Communication: Strong ability to explain complex technical concepts clearly to both technical and non-technical audiences.
  • Collaboration: Proven ability to work cross-functionally with Engineering, Data Science, and go-to-market teams.

Note: We cannot provide Sponsorship at this time.
You must be located in one of our talent hubs: SF, NY, Seattle, Miami, or DC.
Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
If you need an accommodation during any stage of the application or hiring process-including interview or onboarding support-please reach out to your Socure recruiting partner directly.
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