Jobs / United States / Block INC

Block INC

Compliance Technology Program Lead

Bay Area, CA, United States of America Posted today

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Skills this job asks for

ComplianceCybersecurityMachine learningLLMsAML / KYCData engineeringTriage

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Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 111 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • What Block INC paid sponsored hires in similar roles1 certified filing for “Senior Hardware Compliance Program Manager” (Electrical Engineers) in CA: $220k–$220k, median $220k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 111 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
What Block INC paid sponsored hires in similar roles
1 certified filing for “Senior Hardware Compliance Program Manager” (Electrical Engineers) in CA: $220k–$220k, median $220k. Most were filed at wage level III (100%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

About the role

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block. The Role Block is seeking a Compliance Technology Program Lead to ensure our Machine Learning and Heuristic detection models — and the data infrastructure that feeds them — are fit for purpose, for our fiat and virtual currency products. This role sits at the intersection of compliance, machine learning, and AI tooling: you will use modern intelligence tools, including Claude and other LLM-based agents, to automate significant portions of oversight, monitoring, and documentation work — turning a traditionally manual, documentation-heavy function into a scalable, defensible program. You will partner with Machine Learning, Engineering and BSA/AML Policy Teams to provide end-to-end technical oversight, effective challenge and ongoing monitoring throughout the model development lifecycle. You Will • Build with Modern AI Tools: Use AI agents (Claude and similar LLM-based tools) to build automation that scales oversight, monitoring, and documentation work — including drafting requirements, exam-ready documentation, data quality monitoring and ongoing model performance reporting. • Design human-in-the-loop checkpoints so that automated outputs remain defensible to regulators and independent monitors. • Establish and maintain model and data governance frameworks aligned with SR 11-7, SR 26-2, and OCC 2011-12 so engineering teams can ship defensible models at pace. Provide effective challenge throughout the model development lifecycle and partner with the BSA/AML Policy Team and CAX stakeholders to ensure documentation is exam-ready. • Lead Ongoing Monitoring: Lead the design and development of real-time dashboards to monitor model health, including input data monitoring and ongoing model performance. • Set standards for threshold tuning and ongoing Below the Line (BTL) testing controls. • Establish frameworks and triggers for identifying when model performance is degrading and requires tuning or deprecation. Partner during subsequent tuning exercises and ensure changes are within risk appetite and documented defensibly. • Provide End-to-End Oversight of Model Development: Oversee Transaction Monitoring models, including heuristic and rules-based detection logic, threshold settings (below the line testing), and the data pipelines that feed alerts. • Oversee blockchain analytics and screening tools (TRM, Chainalysis), with attention to typology coverage, alert quality, and integration with downstream investigations. • Oversee Sanctions Screening models (LexisNexis), including list management, fuzzy-match tuning, and false-positive reduction. • Oversee Customer Risk Scoring models, including segmentation logic, periodic recalibration, and effective challenge of risk drivers. • Oversee the design and validation of AI-driven case resolution — LLM-based and ML-based models that triage, enrich, or disposition alerts — ensuring decisions are explainable, auditable, and defensible to regulators. You Have • 7+ years of experience in compliance technology at regulated financial institutions, or as a consultant working with FIs. • Hands-on experience building with modern AI tools — including Claude, GPT,

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