Strategy & Ops Associate, Applied AI

We are hiring an Applied AI Strategy & Ops Associate to support and evolve our internal tooling ecosystem across Ops. This is a hands-on individual contributor role focused on strengthening the foundation of our operational stack. You’ll work across a range of tools including support platforms, AI-driven systems, and internal automations to improve how our day-to-day operations function. You’ll partner closely with team leadership to execute against defined priorities, refine existing systems, and introduce new tooling where needed ensuring our stack continues to scale effectively with the business.

Responsibilities

Execute against high-priority tooling and automation initiatives across the operational stack; Build and iterate on workflows, integrations, and automations that improve day-to-day efficiency; Support and improve systems across multiple tools, including support platforms and AI-driven solutions; Translate defined problems into practical, well-scoped technical solutions; Identify gaps or inefficiencies in current tooling and proactively address them; Troubleshoot issues, improve system reliability, and ensure tools perform effectively in production; Contribute to ongoing improvements in how our systems connect and operate together

Requirements

Technical Fluency: comfortable working with APIs, integrations, and automation tooling; Execution Discipline: takes defined problems and drives them through to completion, manages multiple priorities, maintains high bar for quality and reliability; Systems Thinking: understands how tools, workflows, and dependencies connect and seeks ways to improve how systems operate together; Problem Solving: can take loosely defined or scoped problems and translate them into practical, well-structured solutions; Ownership Mindset: takes responsibility for delivering high-quality work and improving team’s day-to-day operations through better tooling and processes

Nice to have

Experience with support platforms such as Zendesk; Familiarity with AI-driven tools and automation workflows; Background in Ops, Support, or CX environments; Experience working with evolving or fragmented tooling stacks