AI Operations Lead
New
A
ApartmentIQPropTech
U.S. from coast to coastFull-TimeLead
Salary not disclosed
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Job Details
- Experience
- 3–6 years
- Required Skills
- SQLRESTful APIsScriptingNotion
Requirements
- 3–6 years of experience in product operations, business operations, revenue operations, strategy, technical program management, solutions, automation, data, or a similar role
- Demonstrated experience using AI to build, ship, automate, or materially improve work in a prior role, project, or team
- Strong fluency with modern AI tools such as ChatGPT, Claude, Cursor, Claude Code, Codex, or similar AI-native development environments
- Technical comfort with low-code/no-code tools, workflow automation platforms, SQL, BI tools, APIs, scripting, or systems integrations
- Strong operational empathy, with the ability to partner closely with business teams, understand their day-to-day work, and build solutions they actually adopt
- Excellent communication skills, including the ability to write crisp documentation, lead engaging trainings, and persuade teams to change how they work
- Analytical and data-driven approach to identifying, prioritizing, measuring, and improving AI-enabled workflows
- High ownership, strong urgency, and comfort operating with autonomy in ambiguous environments
- Strong product judgment, including knowing when to prototype, when to automate, when to involve Engineering, and when to kill an idea
- Bias toward hands-on building over strategy-only work
- Passion for AI, automation, operational excellence, and helping teams build durable leverage
Responsibilities
- Deploy AI-powered automations, copilots, and agentic workflows across a focused set of non-engineering teams within your first 6–12 months
- Partner with teams across Product, Sales, Customer Success, Marketing, Operations, and Support to deeply understand workflows, bottlenecks, edge cases, and success metrics
- Map existing business processes and identify opportunities where AI can reduce manual work, improve quality, accelerate decision-making, or create better customer experiences
- Build workflows using tools such as ChatGPT, Claude, Cursor, n8n, Zapier, Make, Retool, Notion, SQL, BI tools, APIs, and internal data sources
- Orchestrate integrations between AI tools and core business systems such as CRM, support platforms, marketing automation tools, product analytics, databases, and internal reporting systems
- Measure impact through dashboards, QA checks, usage metrics, time savings, accuracy, adoption, and stakeholder feedback
- Iteratively improve deployed workflows based on user behavior, qualitative feedback, and performance data
- Enable team members to use AI effectively in their daily work through training, documentation, templates, office hours, and hands-on coaching
- Identify and coach internal AI champions who can help scale adoption within their teams
- Create reusable playbooks, prompts, templates, and workflow patterns that make AI adoption repeatable across the company
- Work with Product and Engineering when AI workflows need deeper technical support, productization, or integration into customer-facing systems
- Stay current on emerging AI tools, agentic workflow platforms, and automation patterns, and translate that knowledge into practical business impact
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