Product Manager

Sumsub

. Own the end-to-end product roadmap for automating manual document-processing tasks .

Posted 9/22/2026full-timeRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in product management with a focus on automating document processing through advanced technologies such as OCR, computer vision, and LLMs. Proficient in SQL for performance analysis and capable of collaborating with technical teams to deliver effective automation solutions.

Highest-signal resume keywords

Product ManagementSQL Query WritingComputer VisionAutomation FrameworksAPI Architectures

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Product Roadmap OwnershipText Extraction AutomationData MaskingFraud DetectionBackend Data ProcessingTechnical Feasibility AnalysisDocument ProcessingKYC/AML WorkflowsPerformance Metrics AnalysisPrompt Engineering

Soft Skills

Autonomous WorkClient CommunicationTechnical Trade-off Explanation

Industry Keywords

FinTechRegTechLogisticsData-heavy Domain

Tech Stack

Tools & technologies

MicroservicesSQL

About the role

Key responsibilities & impact

Own the end-to-end product roadmap for automating manual document-processing tasks
Drive automation of text extraction, data masking, and fraud/forgery detection
Identify applications for computer vision, OCR, LLMs, and AI agents to structure unstructured document data
Act as the primary technical contact for Customer Success Managers and the Sales team
Analyze requirements, evaluate technical feasibility, and translate needs into specifications for ML and backend engineers
Support audits and certification in line with regulations and client standards
Own prioritization, sprint execution, and production delivery
Define, track, and optimize automation rate, precision, recall, and processing latency using SQL and internal data tools
Test and validate product behavior, extraction accuracy, and edge-case workflows
Collaborate with ML and backend engineers to deliver high-throughput backend automation

Requirements

What you’ll need

3+ years in Product Management or Technical Product Management roles
Strong background preferably as a former Software Developer, QA Engineer, or L3 Technical Specialist transitioned into Product Management
Deep understanding of API architectures, microservices, automation frameworks, and backend data processing pipelines
Practical understanding of computer vision, OCR, LLMs, and prompt engineering
Experience replacing manual human tasks with automated software solutions, preferably in FinTech, RegTech, Logistics, or another data-heavy domain
Comfortable writing SQL queries to analyze system accuracy, identify edge cases, and measure performance metrics
Ability to work autonomously in a lean, fast-paced environment
Ability to explain complex technical trade-offs in structured, client-friendly terms
Fluent English
Direct experience with document processing, KYC/AML workflows, or fraud detection systems is a plus
Practical experience applying LLMs/agents to unstructured data extraction is a plus
Software Development background is a major advantage

Benefits

Comp & perks

Remote-first, trust-based culture
No mandatory office days or attendance trackers
Offices or coworking spaces available in some locations
Flexible working hours; no fixed 9-to-5 schedule
Birthday holiday
10 personal days each year
Seven sick days without paperwork
Extra time off for Christmas and New Year
Personal development plans and learning opportunities
Role-specific events covered, including design conferences and marketing forums
Financial bonuses for marriage and welcoming a new baby
Fully covered team offsites several times a year
Tools and hardware provided
Equal opportunity and inclusive workplace