JobsArtificial IntelligenceAI Context Operations Lead
Mercury

Mercury

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Artificial Intelligence

AI Context Operations Lead

RemoteSeniorPosted Aug 17, 2026
AILLMsAPIS+7 more

About this role

Lead Mercury's internal knowledge infrastructure, building a trusted context layer that powers leadership reporting, planning, and AI agents. You'll design taxonomies, schemas, and automations that make company knowledge reliable for both people and AI systems across a fast-growing fintech startup.

Must have

Have 5-8 years of experience in program or product operations, technical program management, product management, data, or similar roles

Think like a systems designer and knowledge architect, able to turn messy distributed information into simple scalable structures

Be comfortable working with technical systems including APIs, data models, analytics, and tools like Linear, GitHub, Metabase, and modern AI platforms

Have hands-on experience using AI to create leverage through workflows, automations, agents, or other practical applications

Understand how LLMs retrieve and consume information

Influence organizations through strong judgment, clear communication, and thoughtful execution in ambiguous environments

Technologies

PythonRESTJSONGitHubSaaSData analyticsAIAPISAutomationLLMs

Responsibilities

Own Mercury's knowledge infrastructure including the trusted context layer, information architecture, taxonomy, and governance

Build the knowledge layer on top of Mercury's AI infrastructure by partnering with AI Engineering

Design 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 and planning dashboards

Drive company-wide adoption of standardized systems and practices across Engineering, Product, Design, Data, Compliance, Legal, Finance, and other teams

Continuously improve how Mercury captures, organizes, and uses knowledge by identifying operational friction and building better workflows

Benefits

Health insuranceDental insuranceVision insuranceRetirement benefits with matchCompetitive salary and stock option planFlexible PTORemote workProfessional development

Recruitment process

1

This role sits at the intersection of systems operations, knowledge architecture, and product thinking

2

Success is measured by creating a high-signal knowledge system that helps employees find answers quickly

3

You'll work closely with Engineering who own the underlying infrastructure

4

Mercury is a fintech company building financial tools for startups, not an FDIC-insured bank

5

Total rewards package includes base salary, equity stock options, and benefits

6

Salary ranges are updated regularly using reliable compensation survey data