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About Stan STAN is the largest provider of AI solutions for HOA and Condo Property Managers. We're using cutting-edge, patented AI technology to build solutions that enhance life for residents of more than 2.5…
We are looking for a high-performing Account Executive to drive STAN’s growth by managing the full sales cycle—from initial prospecting and discovery to closing deals and hand-off. You will be the face of STAN to…
Product Manager owning features end-to-end from discovery and PRD writing to launch for an AI property management SaaS. Day-to-day involves customer interviews, backlog prioritization, and using analytics tools like Mixpanel or Amplitude in a collaborative, in-office environment.
STAN is looking for a Partnerships Manager to build STAN AI's network of third-party partners — industry associations, complementary vendors, and tech platforms already trusted by property management companies — as…
We are looking for a Senior Customer Success Manager who is obsessed with turning users into lifelong advocates. In this role, you will own the end-to-end post-sales journey for our most strategic accounts, ensuring…
We are looking for a powerhouse Head of Sales to transform our early momentum into a scalable revenue engine. As our first senior sales hire, you will be a "player-coach" who isn't afraid to lead from the…
Senior Full-Stack Engineer building STAN's AI property manager platform for residential communities, doing end-to-end development with React, TypeScript, Node.js, MongoDB, and cloud providers.
We're looking for a driven, coachable Business Development Representative to fuel our top-of-funnel pipeline. You'll be the first point of contact for prospective customers — property management companies and…
This is a forward deployed engineer role, you own the technical health of your deployments end to end: when the AI gets something wrong, you find out why — digging through conversation logs, refining prompts, analyzing…
This is a solutions engineer role, you own the technical health of your deployments end to end: when the AI gets something wrong, you find out why — digging through conversation logs, refining prompts, analyzing data,…
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