AI Context Operations Lead

Company

Mercury builds full-stack financial tools for startups and uses AI Ops to keep internal context reliable across teams.

What you will do

• Own the trusted context layer: information architecture, taxonomy, governance, and standards that keep team ownership and knowledge accurate and current.
• Partner with AI Engineering to design schemas, automations, and validation workflows so people and AI agents can reliably retrieve and use company knowledge.
• Own the reporting layer that turns shared context into operational insight, including leadership reporting and planning dashboards.
• Drive company-wide adoption of standardized systems by partnering across Engineering, Product, Design, Data, Compliance, Legal, Finance, Partnerships, and Customer Support to replace fragmented documentation.
• Continuously improve knowledge capture and usage by identifying operational friction and building better workflows and enablement.

Requirements

• Location: San Francisco, CA; New York, NY; Portland, OR; or Remote within Canada or the United States
• 5–8 years of experience in program/product operations, technical program management, product management, data, or similar roles driving company-wide operational improvements.
• Systems-design and knowledge-architecture mindset to convert messy distributed information into scalable structures people and AI systems can trust.
• Comfort working with technical systems (APIs, data models, analytics, and tools like Linear, GitHub, Metabase, and modern AI platforms).
• Hands-on experience using AI to build practical workflows/automations/agents and understanding how LLMs retrieve and consume information.
• Strong judgment and communication to influence cross-functional stakeholders in ambiguous environments.

Culture & Benefits

• Compensation includes base salary, equity (stock options), and benefits.
• Salary and equity ranges are updated regularly using compensation survey data.
• New hire offers are based on experience, expertise, geographic location, and internal pay equity.