AI Operations Lead

Assort Health - San Francisco

Non-technical Verified Jul 1, 2026 Source: assorthealth.com

This role is part of the Internal AI Job Board, a curated list of jobs for teams building or operating internal AI systems. Follow the original role page for the employer description, requirements, and application flow.

Responsibilities

At Assort, we're building toward a future where AI is embedded into how we operate, not layered on top. We're looking for a hands-on AI Operations Leader to help us move faster, reduce operational drag, and unlock leverage across the company.
You are the hands-on builder, problem solver, and strategist driving AI adoption and impact across Assort’s business teams. You'll partner closely with GTM, Post-Sales, Agent PM, Product, and Engineering to identify inefficiencies, build intelligent workflows, and drive adoption across teams. You won't just be solving problems in isolation; you'll help define how Assort becomes an AI-first company, building the systems, standards, and internal tooling that compound over time.
Own a prioritized AI roadmap sourced from department needs, leadership priorities, and Champion network signal; validate with prototypes before committing build time
Set the operating model for what gets built centrally vs. embedded in each function
Design and ship AI-powered workflows, automations, and internal tools from concept to production to iteration
Mix custom code, APIs, and no/low-code platforms based on what ships fastest without compromising rigor
Define agent and skill lifecycle and foundational assets (prompt libraries, SOPs, templates, integration patterns), extending GTM's centralization work into company-wide standards
Standardize how we build, evaluate, and scale AI internally with rigor on security, quality, and reliability
Administer the platform tools (Claude, Notion AI, n8n, Zapier, and more) and bring in new tooling where there are real capability gaps
Run the AI Champion & Leader network across non-technical departments, surfacing wins, clearing blockers, and routing feedback back into the roadmap
Sit one-on-one with each department lead to shape their quarterly AI goals and sequence central work to accelerate them
Run continuous AI upskilling: foundations courses, department-specific deep dives, office hours, internal content, and new-hire onboarding
Own the company hackathon, in-team mini-hackathons, and reporting that tracks the impact of what you are shipping