Socure

Socure

Compliance Operations Manager

Hub - San Francisco · Senior

Sponsorship not specifiedDetected 36 days ago
Data ScienceProduct ManagementProduct StrategyAuditingCustomer SuccessCollaboration

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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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Employer immigration record

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Files H-1B transfers

3 transfer filings in the last year, covering 3 workers. Median labor-condition decision: 10 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • The line between compliance and technology is disappearing.
  • Financial institutions no longer treat AML programs as a checkbox exercise - they are demanding platforms that embed regulatory intelligence directly into their screening, monitoring, and investigation workflows.
  • This role sits at the center of a four-way intersection: the evolving regulatory landscape, our product and technology teams, our go-to-market motion, and our customers' compliance programs.

Responsibilities

  • Partner with Data Science and Engineering to ensure compliance intelligence is accurately represented in Watchlist's data ingestion, entity resolution, and matching systems.
  • Maintain and evolve these frameworks leveraging the latest technologies to scale this context layer
  • Partner with Product and GTM to shape how regulatory changes become product features, positioning, and customer communications.

Requirements

  • 5-7 years of experience in AML compliance operations, sanctions screening, or financial crime operations at a financial institution, fintech, or compliance technology company.
  • Working knowledge of OFAC sanctions programs, FATF guidance, BSA/AML regulations, and PEP screening standards.
  • Experience maintaining or auditing watchlist and sanctions data sources, including list provenance tracking and quality control.
  • Familiarity with GRC frameworks and AML taxonomy structures: sanctions type classification, PEP categories, adverse media signals, and country risk ratings.
  • You must be located in one of our talent hubs: New York, San Francisco, Seattle, or Miami.
  • Hands-on technical operator that is able to leverage technology to improve customer experience and scale operations.
  • Strong attention to detail and ability to manage operational processes with rigorous documentation.
  • Effective communicator across technical (Engineering, Data Science) and non-technical (Sales, Compliance Buyers) 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

  • CAMS certification or equivalent AML compliance credential preferred.

Skills

  • Beyond internal product work, you will help build
  • Socure's professional services and advisory capability:

Company info

  • Socure is building that platform, and we are looking for a Compliance Operations Manager to be the compliance mind behind it.
  • Help design and build Socure's professional services and advisory capability - a program that helps customers develop and mature their AML programs using Socure's platform.

This listing is sourced directly from Socure's careers page and normalized into a canonical job model.