AI Solutions & Implementation Manager

The Guarantors is a cutting edge fintech company setting the standard in rent coverage with unrivaled insurance products. With a deep understanding of owner, operator, and renter needs, we believe renters deserve better access to the home of their dreams and operators deserve greater protection and growth opportunities. That’s why we’re leveraging our expertise in real estate and using AI-based technology to help operators qualify renters faster while mitigating the risk of rental income loss.

With $5B+ in rent and deposits guaranteed, we work with 9 of the country’s top 10 operators and have been named one of Inc. 5000’s fastest-growing companies, one of Forbes’ Best Startup Employers, and one of Deloitte’s Technology Fast 500.

The AI Solutions & Implementation Manager is responsible for helping define, prioritize, implement, and scale AI-enabled solutions across The Guarantors’ business. This role supports the AI function by identifying high-impact automation opportunities, translating business processes into clear requirements, managing pilots, coordinating implementation, and measuring business impact.

The ideal candidate will bring strong operational judgment, product thinking, analytical rigor, and cross-functional execution experience. This person will work closely with Data Engineering, Software Engineering, Data Science, Business Analytics, Claims, Underwriting, Ops, Finance, vendors, and stakeholders to move AI initiatives from idea to pilot to production.

Location

This is a hybrid role based in NYC

• Own and manage implementation plans for AI-enabled workflow improvements across key operational areas.
• Structure ambiguous business problems into clear opportunity areas, work plans, milestones, risks, and decision points.
• Build business cases for AI initiatives, including opportunity sizing, operational impact, implementation effort, cost, ROI, and realized benefit tracking.
• Translate business processes into workflow maps, requirements, success metrics, operating procedures, and implementation plans.
• Analyze operational data, process performance, and stakeholder input to identify automation opportunities and prioritize the highest-impact work.
• Lead cross-functional execution across Data Engineering, Software Engineering, Data Science, Business Analytics, Claims, Underwriting, Ops, Finance, vendors, and stakeholders.
• Manage vendor pilots and implementation work streams, ensuring clear scope, success criteria, timelines, ownership, and measurable outcomes.
• Create executive-ready materials, including roadmap updates, decision memos, business cases, KPI reporting, and implementation readouts.
• Communicate updates, risks, blockers, recommendations, and business impact clearly and proactively.
• Use data, judgment, and business context to inform prioritization, solution design, implementation decisions, and recommendations.
• Partner with frontline teams to drive adoption, collect feedback, identify failure modes, and improve workflows after launch.
• Ensure AI initiatives are completed in accordance with applicable policies, procedures, standards, and regulatory requirements.
• Perform other role-related responsibilities as assigned and aligned with business needs.

• 3+ years of experience in management consulting, business operations, corporate strategy, product operations, implementation, analytics, or a similar high-impact execution role.
• Experience in structuring ambiguous problems, conducting analysis, developing recommendations, and driving cross-functional execution.
• Experience building business cases, sizing opportunities, defining KPIs, managing work plans, and communicating recommendations to senior stakeholders.
• Strong understanding of business processes, operational performance, data-driven decision-making, and business impact measurement.
• Demonstrated ability to manage cross-functional initiatives, partner with stakeholders, and deliver high-quality work in a dynamic business environment.
• Bachelor’s degree in Business, Economics, Computer Science, Data Science, Engineering, or a related field, or equivalent practical experience.

• Experience working in…