Socure
Senior Product Manager, Watchlist
Hub - San Francisco · Senior
Sponsorship not specifiedDetected 38 days ago
SQLMachine LearningData EngineeringData ScienceProduct ManagementProduct StrategyCustomer SuccessLeadershipCommunicationCollaboration
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odds of building a lasting career here
37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- We are looking for a Senior Product Manager to own Socure's Watchlist screening and monitoring platform - a foundational product in our compliance suite serving a rapidly growing customer base.
- You will own the roadmap and strategy for our market-leading Watchlist Screening and Monitoring product, which enables banks, fintechs, gaming companies, and more around the world manage their sanctions and AML risk.
- You will work closely with Data Science, Engineering, and go-to-market teams to build a market leading product and drive growth.
Responsibilities
- Own the Watchlist product roadmap, balancing compliance accuracy, customer needs, and engineering capacity.
- Work with data science to build our next generation data ingestion technology to improve the accuracy of our watchlist data.
- Collaborate with Engineering, Data Science, and Compliance Ops to translate requirements into executable plans.
- Partner with Sales, Customer Success, and GTM to support deal cycles and retain and grow Watchlist's enterprise customer base.
Requirements
- Technical Expertise: Strong understanding of APIs, data pipelines, and ML model behavior
- Analytical Skills: Ability to evaluate screening performance metrics (recall, precision, hit rate) and translate them into product decisions.
- You must be located in one of our talent hubs: New York, San Francisco, Seattle, or Miami.
- Customer Focus: Experience working directly with compliance buyers, financial institutions, or enterprise customers in complex environments.
- Communication: Ability to explain technical or compliance concepts clearly to engineering partners, compliance buyers, and executive stakeholders.
- 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.
- Follow Us!
- YouTube https://www.youtube.com/c/Socure | LinkedIn https://www.linkedin.com/company/socure/ | X (Twitter) https://x.com/socureme | Facebook https://www.facebook.com/socure/
Nice to have
- 3-5 years in product management, preferably in compliance technology, AML/sanctions screening, identity verification, or ML-driven products.
- Domain Knowledge:
- Familiarity with AML/BSA regulations, sanctions screening workflows, or financial crime compliance is strongly preferred.
- Technical Expertise:
- Strong understanding of APIs, data pipelines, and ML model behavior
- comfortable reviewing technical specs and writing SQL.
- Domain Knowledge: Familiarity with AML/BSA regulations, sanctions screening workflows, or financial crime compliance is strongly preferred.
Skills
- Ability to evaluate screening performance metrics (recall, precision, hit rate) and translate them into product decisions.
- Proven ability to work cross-functionally with Engineering, Data Science, and go-to-market teams in a fast-paced environment.
- You must be located in one of our talent hubs:
- New York, San Francisco, Seattle, or Miami.
- Socure is an equal opportunity employer that values diversity in all its forms within our company.
- Collaboration: Proven ability to work cross-functionally with Engineering, Data Science, and go-to-market teams in a fast-paced environment.
- Customer Focus:
- Communication:
- Collaboration:
Benefits
- Define and track key product metrics: screening accuracy, false positive rates, match coverage, and customer outcomes.
- Drive improvements to Watchlist's core individual screening and monitoring capabilities, including name match accuracy and data coverage.
- Develop and maintain machine learning systems that keep our patented real-time matching engine at the highest levels of recall and precision.
This listing is sourced directly from Socure's careers page and normalized into a canonical job model.