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.
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.
| Title | Stage | AI score |
|---|---|---|
| Open Call for Founders / Founding Teams - Product Management and Engineering This role is for founders or founding teams to build and ship AI products in the fintech space. It emphasizes finding problems, building end-to-end workflows using an AI stack, shipping fast, measuring impact, and running as autonomous teams. The ideal candidate has shipped real products, is versatile across the stack, has strong opinions on AI products, and experience with RAG, evals, and agent harnesses is a plus. | Ship | 7 |
| Senior Engineering Manager - Risk Senior Engineering Manager to lead teams building AI/ML systems for risk detection, fraud detection, and application approvals in a fintech environment. The role involves applying both traditional ML and LLMs to improve real-time decisioning and user experience, with a focus on scaling these systems and ensuring operational excellence. | ShipServe | 7 |