AI Strategist

About Property Finder

Role Summary

Build the Relationship and Find Use Cases

• Build trusted relationships with client owners, managing directors and operating teams; hold the senior relationship on solutions alongside the account team.
• Run discovery on how the client lists properties, generates and converts leads, manages agents and markets itself; find where AI and Property Finder data can change a number they care about.
• Define and prioritise use cases such as listing creation, lead response, marketing spend and agent productivity, with a business case, target metric and success criteria for each.

Run the Engagement and the Product

• Own the engagement plan and backlog: scope, sequence, milestones and timeline agreed with the client decision-maker and the VP before work starts.
• Act as product manager for what the pod builds: write requirements, set priorities, unblock engineers and keep the build tied to the outcome.
• Move solutions from prototype to production to adoption: train client teams, manage change and embed the solution in their routines.
• Measure impact against a control group with Analytics and report results to client leadership with a clear storyline.

Scale What Works

• Turn each engagement into reusable assets: playbooks, templates and case studies.
• Feed a structured view of client needs into Product and argue for what should become a standard product for all clients.
• Spot renewal and expansion opportunities early and route them to the account team, without carrying a sales quota.

The Person

• 6-9 years of experience, including 3+ years in a top-tier management consulting firm at Engagement Manager / Project Leader level, or an equivalent client-leading role in a deployment, forward deployed or solutions team at a technology company.
• Has led multi-month client engagements end to end with a team of 2-5, owning scope, the client relationship and the outcome.
• Hands-on with AI: has scoped or shipped LLM-based tools or agents, understands how they are built, evaluated and adopted.
• Strong analytical and quantitative problem-solving; comfortable with SQL and spreadsheets and able to pull and sanity-check data yourself.
• Working technical literacy: APIs, data pipelines, CRM systems; can hold an architecture conversation and spot a bad estimate.
• Exceptional written and verbal communication; has built storylines and presented to CEO-level audiences and can explain technical content simply.
• Commercial judgment: understands what drives a client's profitability and how that connects to their spend with Property Finder.
• Comfortable in ambiguity and in someone else's office; low ego, high ownership.

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