| Company | Mercury |
| Location | San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States |
| Salary | 45-70 LPA (est.) |
| Experience | |
| Type | Full-Time |
Overview
Mercury is building a whole stack of financial tools for startups. We work hard to create dashboards with thought and simplicity. You can check out our demo dashboard at www.demo.mercury.com.
Behind every product Mercury ships is a fast-growing company: dozens of teams across engineering, product, design, data, and business functions, and hundreds of projects that require alignment across compliance, legal, partnerships, customer support, finance, and leadership. AI Ops builds the systems that keep that organization moving, helping teams move quickly without losing shared context.
Responsibilities
- Own Mercury’s internal knowledge infrastructure: the systems and standards that make company information accurate, discoverable, and useful
- Build and maintain a trusted context layer—a structured, living record of what teams own, do, and depend on
- Develop and implement standards for information organization and retrieval
- Collaborate with cross-functional teams to integrate context into existing workflows and tools
- Design and implement metrics to measure the effectiveness of the context layer
- Stay up-to-date with industry trends and emerging technologies in AI and knowledge management
Requirements
- 5+ years of experience in a related field, such as AI, knowledge management, or information architecture
- Strong understanding of AI and machine learning concepts
- Experience with data modeling, information retrieval, and knowledge graph construction
- Excellent communication and collaboration skills
- Ability to work in a fast-paced environment and adapt to changing priorities
Benefits
Mercury offers a competitive salary range of $45-70 LPA, as well as a comprehensive benefits package and the opportunity to work with a talented and growing team.
Apply
If you’re passionate about building and maintaining a trusted context layer and have a strong background in AI and knowledge management, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter explaining why you’re a great fit for this role.