AI Context Operations Lead

Job 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.

Job Description

You'll define how information is organized, validated, and maintained across systems like Linear and Mercury's internal platforms so they function as a single source of truth.

Key Responsibilities

• Mercury is building a whole stack of financial tools for startups.
• 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.
• You'll build and maintain a trusted context layer-a structured, living record of what teams own, are building, and know-and ensure it stays current automatically.
• That context layer powers leadership reporting, planning, operational reviews, and the internal AI agents employees use every day.
• Success isn't measured by collecting more information, but by creating a high-signal knowledge system that helps employees find answers quickly, enables leaders to make decisions from shared context, and gives AI systems the foundation they need to operate effectively.
• You will: 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.

Required Skills and Qualifications

• In this role, you'll own Mercury's internal knowledge infrastructure: the systems and standards that make company information accurate, discoverable, and useful.
• Working closely with Engineering, who own the underlying infrastructure, you'll design the knowledge layer above it: the taxonomies, schemas, validation workflows, and automations that make company knowledge reliable for both people and AI systems.
• This role sits at the intersection of systems operations, knowledge architecture, and product thinking.
• Success isn't measured by collecting more information, but by creating a high-signal knowledge system that helps employees find answers quickly, enables leaders to make decisions from shared context, and gives AI systems the foundation they need to operate effectively.
• Your job is to make the company's internal knowledge systems just as dependable.
• You will: 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.
• 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.

Benefits and Perks

• 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.

Work Location and Schedule

This role is listed as Remote USA with location information shown as Remote USA. The employment type is Full Time.

About the Company

Mercury is the organization connected with this listing. USA Jobs Today displays this opportunity for job discovery only, so applicants should verify company details, application instructions, and eligibility on the official employer website.