Product Manager - Data Ingestion

Company

hirify.global provides an AI-powered financial crime risk intelligence and compliance platform used by more than 3,000 enterprises across 75 countries.

What you will do

• Own the roadmap, product requirements, research, competitive intelligence, and customer insight for the data ingestion platform.
• Build and scale reusable tools and agentic pipelines for identifying and extracting risk profiles from raw intelligence.
• Balance strategic priorities with requirements from Risk Applications, particularly around data quality, pipeline reliability, and regulatory explainability.
• Partner with the Engineering Manager, data engineers, ML engineers, and Data Science to turn validated research into production capabilities.
• Define and track metrics covering pipeline performance, data quality, coverage, and client impact.
• Use AI-assisted workflows for research synthesis, feedback analysis, data interpretation, and first-draft specifications.

Requirements

• 3+ years of product management experience, including at least 2 years working with data products, data pipelines, ML systems, or data infrastructure.
• Experience delivering products where data is a significant component and responsibility for data quality at scale.
• Fluency with data pipelines, ETL/ELT processes, ML model deployment, and LLM-based capabilities.
• Ability to translate client needs into precise technical requirements and collaborate effectively with engineering managers, data engineers, and data scientists.
• Strong analytical, written communication, documentation, and presentation skills.
• Experience balancing competing stakeholder priorities and working in regulated, multi-jurisdictional environments.

Nice to have

• Experience with compliance, financial services, or RegTech data products.
• Familiarity with entity resolution, graph databases, NLP, knowledge graphs, real-time or batch data processing.
• Understanding of data governance, privacy requirements, regulatory constraints, and AML/CFT legislation.

Culture & Benefits

• Work within a structured product operating model using six-week planning blocks and quality gates from strategy through implementation.
• Collaborate across Product, Engineering, Data Science, and Risk Applications tribes.
• Base salary: €44,000–€66,000 per year, plus equity and benefits.
• Access to a global organization with hubs in London, New York, Lisbon, Singapore, and Cluj-Napoca.