Mercury currently has 9 active AI-related roles in our index. The most common open titles are: AI Context Operations Lead, Financial Crimes Compliance Modeling & Analytics Manager, Head of Revenue Technology & Architecture, Open Call for Founders / Founding Teams - Product Management and Engineering, Senior Machine Learning Operations Engineer. Most positions are in Engineering and Product.
Mercury's active AI hiring is concentrated in: agents (56%), serving infrastructure (22%), application (11%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Job postings at Mercury most frequently mention: Real-Time Systems, Product Management, Payments & Fintech, Machine Learning, CI/CD.
In the past 30 days, Mercury has posted 2 new AI-related roles.
Currently tracking 6 active AI roles, with 26 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $167k–$303k (avg $227k).
Mercury currently has 9 active AI-related job listings. The majority of these roles, 56%, are focused on agents. Engineering and Product are the top functions hiring for these positions. The company is actively seeking candidates with expertise in agent orchestration, LLM observability, and model serving.
| Title | Stage | AI score |
|---|---|---|
| Financial Crimes Compliance Modeling & Analytics Manager Manager role focused on developing, tuning, and maintaining financial crime compliance (FCC) detection and screening models, including transaction monitoring and sanctions screening. Requires strong analytical background, FCC expertise, and collaboration with risk, engineering, and compliance teams. The role involves using SQL and potentially Python/ML tooling to improve FCC models, develop rules, and track program health. | Post-train | 5 |