Block, a fintech company, currently has 13 active AI-related job listings. The majority of these roles, 54%, are focused on agents, with application roles making up 31% and serving infrastructure accounting for 15%. Engineering is the dominant function, with 11 positions, and all roles are being hired in the United States. Frequent tech tags include agent orchestration, model serving, and guardrails, suggesting a focus on operationalizing AI models. In the last 30 days, Block posted 5 new AI roles, a 29% decrease compared to the previous 30-day period.
Currently tracking 6 active AI roles, up 18% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $108k–$343k (avg $239k).
Block currently has 26 active AI-related roles in our index. The most common open titles are: Principal Designer, TIDAL (3), Software Engineer, Cash App - Controls (3), CRM Product Owner, GTM (2), Senior Data Scientist, AI & Model Risk (2), Senior Site Reliability Engineer (2). Most positions are in Engineering and Product.
Block's active AI hiring is concentrated in: agents (58%), application (23%), evaluation (12%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Block is hiring AI talent in: United States (26 roles).
Job postings at Block most frequently reference: agent orchestration, model serving, llm observability, guardrails, evals.
In the past 30 days, Block has posted 16 new AI-related roles. That is a +167% change versus the prior 30 days (6 → 16).
| Title | Stage | AI score |
|---|---|---|
| Senior Machine Learning Engineer, Model Risk Management This role is responsible for independently challenging model owners across lending, fraud, and AML by reproducing results, setting acceptance thresholds, and determining model soundness. The role involves hunting for silent errors, choosing robust evaluation methods, and shipping production code for validation tooling. A key focus is building agentic validation tooling and reasoning about ML systems end-to-end, including modern AI like LLMs and agentic systems, to ensure reliability and compliance with regulatory standards. | Eval GateAgent | 8 |
| Senior Data Scientist, AI & Model Risk Senior Data Scientist role focused on AI & Model Risk, leading risk assessments for Generative AI and LLM use cases in financial services. The role involves ensuring safe, compliant, and responsible deployment by evaluating system design, testing, monitoring, and regulatory compliance. It requires strong understanding of AI architectures, testing methodologies, and risk management principles, with a focus on operationalizing AI governance. |
| Eval GateAgent |
| 7 |
| Senior Data Scientist, AI & Model Risk Senior Data Scientist role focused on AI & Model Risk, leading risk assessments for Generative AI and LLM use cases in financial services. The role involves ensuring safe, compliant, and responsible deployment by evaluating system design, testing, monitoring, and regulatory compliance. It requires strong understanding of AI architectures, testing methodologies, and risk management principles, with a focus on operationalizing AI governance. | Eval GateAgent | 7 |