Описание
Sumsub provides AI-powered trust infrastructure for compliance operations, connecting identity and business verification, fraud prevention, transaction monitoring, and risk workflows. Its platform helps teams reduce manual work and enter new markets.
Задачи
•Own the end-to-end product roadmap for turning manual document processing into high-accuracy automated pipelines for text extraction, data masking, and fraud or forgery detection
•Identify practical, high-value applications for computer vision, OCR, and LLMs or AI agents to structure unstructured document data across formats and regions
•Act as the primary technical point of contact for CSMs and the Sales team, analyzing requirements, evaluating technical feasibility, and translating requirements into specifications for ML and backend engineers
•Support audits and certification in line with regulations and client standards
•Own prioritization, sprint execution, and delivery to production
•Define, track, and optimize performance metrics, including automation rate, precision, recall, and processing latency, using SQL and internal data tools
•Personally test and validate product behavior, data extraction accuracy, and edge-case workflows
Требования
•Have 3+ years of experience in PM/TPM roles
•Have a strong background, preferably as a former Software Developer, QA Engineer, or L3 Technical Specialist who transitioned into Product Management
•Understand API architectures, microservices, automation frameworks, and backend data processing pipelines
•Understand how computer vision, OCR, and LLM/prompt engineering work in practice, including technical feasibility and accuracy evaluation; training ML models is not required
•Have experience replacing manual human tasks with automated software solutions in FinTech, RegTech, Logistics, or another data-heavy domain
•Be comfortable writing SQL queries to analyze system accuracy, uncover edge cases, and measure performance metrics
•Be comfortable working with high autonomy in a lean, fast-paced environment with rapid feedback loops
•Be able to explain complex technical trade-offs clearly to internal CSMs and commercial teams
•Be fluent in English
Nice to have: direct experience with document processing, KYC/AML workflows, or fraud detection systems; practical experience applying LLMs/agents to unstructured data extraction challenges; a Software Development background.
Условия
•Work hours are flexible; there is no fixed 9-to-5 schedule, provided work remains productive and aligned with the team
•Birthday holiday, 10 personal days per year, seven sick days without paperwork, and additional time off around Christmas and New Year
•Role-specific events are covered, and learning opportunities and personal development plans are provided
•Financial bonuses are provided for marriage and welcoming a new baby
•Team offsite trips a few times a year are fully covered
•Necessary work tools and hardware are provided
•Compensation varies by work location and local market conditions; location-specific compensation information is shared in writing early in the recruitment process. No universal salary range is included in the posting
•The role is open to candidates in multiple countries
