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 |
|---|---|---|
| Staff Applied Machine Learning Engineer - Fraud & Abuse Staff Applied Machine Learning Engineer at Block, focusing on designing, building, and operating production ML decision systems to combat fraud and abuse across various Block brands. The role involves end-to-end ownership of ML systems, from data contracts and low-latency inference to monitoring and incident response, with an emphasis on AI-assisted operations and collaboration with cross-functional teams. | AgentServe | 8 |
| Senior ML/AI Modeler, Risk Automation Machine Learning This role focuses on automating Risk and Compliance investigations and decision-making at Block using agentic and generative AI. The Senior ML/AI Modeler will experiment with and deploy AI copilot and autopilot systems, own end-to-end system development including API calls, prompt tuning, orchestration, metrics, evaluation, productionization, and monitoring. They will leverage diverse datasets and transformer-based ML models, work cross-functionally with various teams, and utilize Python ML stack, LLMs, PyTorch, and cloud services. Experience with AI engineering, LLMs, and end-to-end ML/AI deployment to production is required. | AgentServe | 8 |
| Staff Machine Learning Engineer (Modeling), Support Staff Machine Learning Engineer focused on building and scaling AI-powered conversational support systems, including chatbots and agent tools, across Block's consumer-facing products. The role involves end-to-end ML initiative delivery, R&D into next-generation chatbot architectures, and deploying models for real-time inference and recommendations. | AgentServe | 8 |
| Senior Machine Learning Engineer, AI Personalization Senior Machine Learning Engineer focused on AI Personalization, developing and deploying large-scale, low-latency models and agentic systems for user personalization across Block's ecosystem. The role involves leading strategic initiatives, establishing quality practices, and collaborating with cross-functional teams, with a strong emphasis on production deployment and experimentation. | AgentServe | 8 |
| Staff Applied Machine Learning Engineer - Intelligent Data, Signals & Systems Staff Applied Machine Learning Engineer to build production ML systems for customer intelligence, signals, ranking, recommendations, search, and decisioning. The role involves designing data and signal contracts, owning systems end-to-end, evaluating business impact beyond conversion, and partnering with various teams. It also emphasizes using AI and agents to accelerate development and operations, and exposing reusable capabilities. Requires deep expertise in intelligent systems and production ML judgment. | AgentServe | 7 |
| Product Manager, GTM Automation Product Manager for GTM Automation at Block, focusing on shaping AI products that automate workflows across sales, marketing, and operations. The role involves defining strategy, identifying automation opportunities, partnering with ML teams, and ensuring responsible AI deployment in regulated environments. | Agent | 7 |
| Compliance Technology Program Lead This role focuses on ensuring AI/ML and heuristic models used in compliance (fiat and virtual currency) are fit for purpose. It involves using AI agents (like Claude) to automate oversight, monitoring, and documentation, and establishing governance frameworks aligned with regulatory standards (SR 11-7, etc.). The role requires end-to-end oversight of various models, including transaction monitoring, sanctions screening, customer risk scoring, and AI-driven case resolution, with a strong emphasis on defensibility to regulators. | AgentData | 7 |
| Legal Systems Engineer This role focuses on designing, building, and deploying AI-driven solutions within the Legal domain, enabling legal teams to leverage AI effectively and at scale. It involves system architecture, automation, integration, and ensuring AI solutions are scalable, reliable, and safe. | Agent | 7 |
| Regulatory Program Manager, Automation & Intelligence This role focuses on driving the adoption and implementation of AI and automation within a regulatory program (Settlements and Supervision Operating Model - SSOM) at Block. The individual will identify opportunities to eliminate manual effort, reduce risk, and improve tracking accuracy by leveraging AI-powered workflows. Responsibilities include championing AI adoption, building automation opportunities, owning the AI roadmap, optimizing tooling, translating AI capabilities for a regulatory audience, developing scalable frameworks, defining KPIs, collaborating with Data Science and Engineering, evaluating emerging AI technologies, and acting as a hands-on generalist when needed. The role requires a strong understanding of both regulatory execution and AI's potential, with a focus on practical application within a high-scrutiny environment. | Agent | 7 |
| Product Manager, Advanced Insights & Modeling Product Manager for the Advanced Insights and Modeling (AIM) team, focusing on the end-to-end lifecycle of predictive models. This role involves partnering with ML engineers, defining product strategy, conducting data analysis, and driving adoption of forecasting models within a fintech company. | Agent | 7 |