AI Context Operations Lead
The vacancy is well-structured with clear responsibilities and compensation, but lacks some details on processes and company presence.
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Overview
Mercury is seeking an AI Context Operations Lead to manage internal knowledge infrastructure and enhance operational efficiency through AI systems. This role involves designing knowledge layers and driving company-wide adoption of standardized practices. Mercury is building a whole stack of financial tools for startups. We work hard to create dashboards with thought and simplicity. 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.
What you'll do
- •Own Mercury's knowledge infrastructure: the trusted context layer that captures what every team owns, is building, and knows, along with the information architecture, taxonomy, and governance that keep it accurate, current, and useful.
- •Build the knowledge layer on top of Mercury's AI infrastructure by partnering with AI Engineering to design the schemas, automations, and validation workflows that allow people and AI agents to reliably retrieve and act on company knowledge.
- •Own the reporting layer that turns shared context into operational insight, including leadership reporting, roadmap views, planning dashboards, and the reporting that powers company operating cadences.
- •Drive company-wide adoption of standardized systems and practices by partnering across Engineering, Product, Design, Data, Compliance, Legal, Finance, Partnerships, Customer Support, and other teams to replace fragmented documentation with trusted, structured sources of truth.
- •Continuously improve how Mercury captures, organizes, and uses knowledge by identifying operational friction, building better workflows, and ensuring employees have the tooling and enablement they need to effectively work with AI.
Conditions
- •The total rewards package at Mercury includes base salary, equity (stock options), and benefits.
- •Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry.
- •New hire offers are made based on a candidate's experience, expertise, geographic location, and internal pay equity relative to peers.
- •Our target new hire base salary ranges for this role are the following: US employees in New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $163,000 - $203,800; US employees outside of the New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $146,700 - $183,400; Canadian employees (any location): CAD $154,100 - $192,600.