AI Strategist

Role summary

Client relationships and use cases

• Build trusted relationships with client owners, managing directors, and operating teams; lead senior solution relationships alongside the account team.
• Discover how clients list properties, generate and convert leads, manage agents, and market their businesses; identify opportunities using AI and Property Finder data.
• Define and prioritize use cases such as listing creation, lead response, marketing spend, and agent productivity, with business cases, target metrics, and success criteria.

Engagement delivery and measurement

• Own the engagement plan and backlog, including scope, sequence, milestones, and timeline, agreed with the client decision-maker and VP before work starts.
• Write requirements, set priorities, unblock engineers, and keep the build focused on outcomes.
• Move solutions from prototype to production and adoption; train client teams, manage change, and embed solutions into routines.
• Measure impact against a control group with Analytics and report results to client leadership with a clear storyline.

Scaling successful solutions

• Create reusable playbooks, templates, and case studies from client engagements.
• Share structured client needs with Product and advocate for solutions that should become standard products.
• Identify renewal and expansion opportunities early and route them to the account team; the role carries no sales quota.

Experience and technical qualifications

• Requires 6–9 years of experience, including 3+ years at a top-tier management consulting firm at Engagement Manager or Project Leader level, or equivalent client-leading experience in a technology deployment, forward-deployed, or solutions team.
• Requires end-to-end leadership of multi-month client engagements with a team of 2–5, owning scope, client relationship, and outcome.
• Requires hands-on experience scoping or shipping LLM-based tools or agents and understanding how they are built, evaluated, and adopted.
• Requires strong analytical and quantitative problem-solving, comfort with SQL and spreadsheets, and ability to extract and sanity-check data.
• Requires working technical literacy in APIs, data pipelines, and CRM systems; ability to discuss architecture and challenge estimates.

Communication and working style

• Requires exceptional written and verbal communication, experience building storylines and presenting to CEO-level audiences, and ability to explain technical content simply.
• Requires commercial judgment about client profitability and its connection to spend with Property Finder.
• Requires comfort with ambiguity and working in someone else's office, with low ego and high ownership.

About Property Finder

Guiding principles