Full-Time
Account Executive
Updated on 8/1/2026
Cassi Home
11-50 employees
Residential property management with predictive intelligence
No salary listed
Remote in USA
Remote
 Sales & Account Management (1) |
|---|
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- The candidate must have a proven track record in a high-velocity Software as a Service or transactional sales environment.
- The candidate must be a strong closer who can manage multiple deals simultaneously.
- The candidate must be comfortable owning pipeline and not dependent on inbound leads.
- The candidate must take responsibility for outcomes and demonstrate high accountability.
- The candidate must be able to operate in ambiguity and help build processes from scratch.
- The candidate must be competitive, resilient, and execution-focused.
- The candidate must have strong communication skills and be able to build trust quickly.
- Own the full sales cycle from first conversation through close.
- Consistently close more than 10 deals per month.
- Build and manage three to four times pipeline coverage.
- Partner closely with Sales Development Representatives to convert outbound pipeline.
- Drive urgency and momentum in approximately 30-day sales cycles.
- Identify and drive early expansion opportunities.
- Contribute to refining messaging, positioning, and the sales process.
- Act as a direct feedback loop into product and leadership.
- Ramp quickly and close the first deal within the first 30 days.
- Consistently hit and exceed the annual quota.
- Maintain high deal velocity and strong conversion rates.
- Contribute to a repeatable and scalable sales motion.
- Operate as a revenue owner, not just a closer.
Cassi Home provides property management software tailored for owner-occupied, high-touch residential homes. The platform uses predictive intelligence and system-wide learning to give operators centralized control over maintenance, communications, and workflows. It works by collecting data across properties, applying analytics, and surfacing proactive insights within a single interface. Compared with competitors, Cassi focuses on brand, trust, and proactive service for residential environments, aiming to improve visibility and reliability for owners and residents.
Company Size
11-50
Company Stage
N/A
Total Funding
N/A
Headquarters
New York City, New York
Founded
2025
Get referred to Cassi Home
See people who can refer or advise you
Simplify's Take
What believers are saying
- £500,000 pre-seed from Twin Track Ventures adds early credibility.
- Reported forecasts outperform unaided human judgement by 50%.
- Co-founders bring UK government and engineering experience to procurement conversations.
What critics are saying
- Direct substitutes have raised far more capital and can outspend Cassi Home.
- Incumbents can bundle similar coordination features into existing property contracts.
- A single high-profile forecasting failure can destroy trust in AI-led operations.
What makes Cassi Home unique
- AI strategy platform for government, finance, and critical infrastructure.
- Blends probabilistic modeling with collective intelligence for resolvable outcomes.
- Home software targets high-touch owner-occupied properties, not tickets-and-rentals workflows.
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Growth & Insights and Company News
6 month growth
↑ 16%1 year growth
↑ 16%2 year growth
↑ 27%Cassi, an AI strategy startup, has raised £500,000 in pre-seed funding led by Twin Track Ventures. Mishcon de Reya advised on the round, which attracted investors from defence, capital markets and growth equity. The company's platform combines artificial intelligence, probabilistic modelling and collective intelligence to support strategic decision-making in government, finance and critical infrastructure. Early benchmarks indicate Cassi's forecasts outperform unaided human judgement by 50%. Co-founded by Dr Keith Dear, former expert adviser to the UK Prime Minister, and Al Brown, a former Royal Engineer, Cassi aims to help organisations quantify success probabilities and identify key influencing factors in high-stakes decisions. Mishcon de Reya partner Attilio Leccisotti led the advisory team.