Account Executive

Overview

You sell an AI-powered communication platform to multifamily property management companies. Your buyers are property owners, regional managers, and VPs of Operations managing 500-10,000+ units who are overwhelmed with leasing calls, maintenance requests, and resident communication. You're selling operational efficiency and cost savings by automating routine interactions that currently burn out their teams.

Role Snapshot

Company Context

Stage: Series C-D+ (523 employees, growing 2x YoY, recognized category leader)

Size: 523 employees

Growth: Aggressive hiring across all teams, strong market momentum, established brand in multifamily space

Market Position: Category leader in AI-native property management communication - competing against legacy platforms (Yardi, RealPage, Entrata) that are retrofitting AI capabilities

GTM Reality

Pipeline Sources:

• 40% Inbound - Property management companies hearing about them through industry channels, conferences, referrals from existing clients
• 40% Outbound - Targeted prospecting to property management firms, REITs, and large owner/operators
• 20% Partnerships - Referrals from property management consultants and adjacent vendors

SDR/AE Structure: Likely dedicated SDR team given company size, but you'll supplement with your own outbound

SE Support: Shared SE pool for technical demos and implementation scoping

Competitive Landscape

Main Competitors:

• Legacy property management systems (Yardi, RealPage, Entrata) adding AI chatbot features
• Other AI communication startups in proptech
• DIY solutions using basic chatbots or outsourced call centers

How They Differentiate: AI-native platform built from scratch for property management workflows vs bolt-on AI features. Can automate 90%+ of routine interactions, not just basic FAQs.

Common Objections:

• "Our current system already has a chatbot"
• "We tried AI before and it didn't work"
• "Residents need to talk to real people"
• "Implementation will disrupt our operations"
• Pricing concerns during budget cycles

Win Themes:

• ROI story: Staff time savings, reduced turnover, increased occupancy through faster response times
• Better resident experience with 24/7 availability
• Operational relief for overwhelmed property teams

What You'll Actually Do

Time Breakdown

Active Deals (45%) | Prospecting/New Outreach (30%) | Internal (25%)

Key Activities

• Discovery calls with property managers: You're asking about current communication volume, staffing challenges, technology stack. Most deals start with operational pain ("we can't keep staff", "lease-up is taking too long") not technology interest.
• Multi-stakeholder navigation: You're coordinating between the regional manager who feels the pain, the VP who controls budget, IT who needs to approve integrations, and sometimes the C-suite for larger deals. Lots of follow-up emails and internal champion management.
• Demo coordination: Working with SEs to show how the AI handles leasing inquiries, maintenance requests, renewal conversations. You're managing objections about AI replacing human touch and proving it actually works in their specific workflows.
• ROI justification: Building spreadsheets showing cost per unit savings, comparing to their current call center or leasing agent costs. Property management runs on thin margins so you're proving pennies-per-unit impact.
• Contract negotiation: Dealing with procurement, legal reviews, MSA negotiations. Larger property groups have enterprise buying processes that add 30-60 days to close.

The Honest Reality

What's Hard

• Property management is fragmented - you're selling to everyone from mom-and-pop operators with 500 units to massive REITs. Deal size and sales cycle vary wildly.
• Budget cycles are real - most property management firms plan annually and mid-year deals require special approval. Q4 is busy, Q1 can be slow.
• You're competing against "we'll just hire another person" thinking even when they can't find or retain staff. Change management is part of the sale.
• Implementation anxiety - prospects worry about switching communication systems while managing thousands of residents. You spend time de-risking the transition.
• Deals slip frequently because there's always another stakeholder who needs to weigh in or a property emergency that takes priority over vendor selection.

What Success Looks Like

• Closing 8-12 deals per year in the $50K-250K range
• Building a pipeline that's 3-4x your quota because property management deals are unpredictable
• Getting referenceable customers who will speak to prospects about operational impact
• Expanding within property management groups after proving ROI at initial properties

Who You're Selling To

Primary Buyers:

• Regional Property Managers (day-to-day operational leaders, feel the pain most acutely)
• VPs of Operations (control budget, care about cost-per-unit and occupancy metrics)
• CTOs/IT Directors (technical evaluation, integration requirements, data security)

What They Care About:

• Immediate operational relief for overwhelmed leasing and maintenance teams
• Measurable cost savings (staff time, reduced turnover, faster lease-ups)
• Resident satisfaction scores (maintenance response times, 24/7 availability)
• Easy integration with existing property management software (Yardi, Entrata, etc.)
• Proof it actually works - they've seen AI fail before

Requirements

• 3-5 years B2B SaaS sales experience, consultative or enterprise deals preferred
• Experience selling to operations leaders or property management/real estate industry helpful
• Comfortable with 3-6 month sales cycles and complex multi-stakeholder deals
• Ability to articulate ROI and build business cases with financial modeling
• Self-sufficient prospecting skills - can identify and reach property management decision-makers
• Willingness to travel occasionally for in-person meetings and industry conferences