Staff AI Operations Lead

You'll sit on the Data team, which is where this work belongs. Our team already operates at the seam between the business and its systems: we partner daily with RevOps, Customer Success, Sales, and Product, and we own the data infrastructure these workflows depend on. You are a senior individual contributor. Your job is to take business workflows that are slow, manual, or inconsistent, and make them fast, automated, and measurably better.

Responsibilities

Partner with department leaders to identify the highest-leverage workflows in their orgs; Define success before you build: cycle time, quality, cost, risk; Deliver working systems, not prototypes, with evaluation harnesses, human-in-the-loop review, and ongoing monitoring; Iterate on adoption through user research, documentation, and a real adoption plan; Establish patterns for model access, orchestration and agents, prompt and tool management, evaluation, logging, and cost control; Build on the Data team's existing infrastructure rather than standing up parallel systems; Co-own shared components with your counterpart in Engineering; Create templates, playbooks, and golden paths; Run office hours, demos, and community-of-practice sessions; Develop enablement material for GTM, operations, and leadership; Partner with Security, IT, and Legal on access control, data handling, vendor risk, and policy; Work with the Data team to apply data classification standards to AI use cases

Requirements

Deep experience shipping systems into real business workflows, having owned something end to end in production that non-technical people depended on daily; Hands-on fluency with modern AI stacks: LLMs, retrieval, tool use and agents, evaluation, guardrails; The ability to learn someone else's job well enough to improve it; A track record of leading cross-functional initiatives without formal authority; Comfort navigating security, privacy, and compliance tradeoffs in real organizations: data classification, retention, access controls, vendor risk; Strong teaching instincts, explaining complex things simply, writing clear docs, and meeting people where they are; Demonstrated ability to stay current as the landscape shifts, and to change your mind in public when the evidence does

Nice to have

SQL fluency and comfort in a modern data stack (dbt, a cloud warehouse, BI tooling); Experience with workflow automation or enterprise systems: case management, ticketing, CRM, knowledge bases; Familiarity with observability practices for AI systems: monitoring, quality signals, evaluation pipelines, cost and latency analysis; Change management experience across a distributed, multi-function company; Interest in external evangelism: writing, speaking, podcasts, peer groups

Benefits

A stake in our success: generous equity with employee-friendly stock program; Pay based on transparent levels relative to experience; Unlimited PTO; Home office, co-working, and internet stipend; Full benefits coverage for employees, with additional coverage available for dependents; Up to 16 weeks of paid parental leave, regardless of path to parenthood; Annual development allowance