AI Operations Lead

About this role

We’re Changing the PropTech Industry

We’re a profitable, growth-stage company building industry-leading martech and data products for the PropTech space. Our focus is on our category-leading AI and data SaaS products with triple-digit growth rates.

We’re a fully remote team of 100+ spread across the U.S. from coast to coast. We operate on a strict no a**holes policy and are proud to have built a community of highly performant people that take our work seriously, but not ourselves. And, we're looking for exceptional people to help further accelerate our growth.

While we’ve raised $30MM+ to date from some of the world’s best investors, we’re profitable with a strong balance sheet and an indefinite runway. We pride ourselves on achieving rapid growth without having to incinerate capital.

About Our Products

ApartmentIQ is the all-in-one data platform powering smarter decisions across multifamily, covering 40M units with daily property and market intelligence used for surveys, research, and revenue management. We're trusted by 65% of the NMHC Top 50. Our sister company, MavenAI, delivers AI-powered marketing automation built by industry experts and integrated directly with property management systems, serving over 2M units.

The Role

We’re looking for an AI Operations Lead to accelerate our transition to a native AI business.

This is a hands-on applied AI role, not an AI research role. You’ll work across Product, Sales, Customer Success, Marketing, Operations, and Support to identify manual workflows, map messy business processes, build AI-powered automations and copilots, and drive adoption across the teams that use them every day.

You’ll be part product operator, part business operations problem-solver, part data analyst, and part AI-native builder. You should be comfortable moving from workflow discovery to prototype to rollout quickly, using tools like ChatGPT, Claude, Cursor, n8n, Zapier, Make, Retool, Notion, SQL, BI tools, APIs, and internal systems.

The goal is not just to increase AI usage. The goal is to help every team build the muscle for using AI instinctively, safely, and effectively to move faster, improve quality, and create more operating leverage.

We’re looking for someone with high agency, strong judgment, and a builder mindset, someone who can turn ambiguous operational problems into practical AI workflows that people actually use.

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

Qualifications:

• 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

Nice to Have:

• Familiarity with workflows across operating teams such as Sales, Customer Success, Support, Marketing, Finance, RevOps, Product, or People

• Experience with internal enablement, change management, or company-wide tool adoption programs

• Experience in B2B SaaS, MarTech, PropTech, marketplaces, multifamily, or marketing automation

• Experience with Salesforce, HubSpot, Zendesk, Intercom, Pylon, Segment, BigQuery, Snowflake,

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