Founding Engineer
Haven, New York, New York
- Pay
- $160K–$200K / year
- Work type
- Not stated
- Level
- Not stated
- Area
- Software engineering, Inference & ML systems, ML / AI engineering
- Posted
- Nov 11, 2024
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About the role
The property management industry is ripe for disruption, and the perfect vertical for natural language automation.
Haven is building an autonomous workforce for the property management industry. Our suite of AI agents connect to property data and integrate with a property manager’s software to automate manual, rote tasks on top of the systems that they already use today.
Our AI agents are already live across tens of thousands of residential properties, and we’re on track to double before the end of the year.
We’re backed by top VCs such as YCombinator, and notable angels like the founder of Salesloft.
Our Co-founders previously built and sold a vertical SaaS company in less than 2 years, disrupting another ossified industry (K-12 admissions).
The Problem We're Solving:
The US rental industry generates $1+ Trillion per year, most of which is administered by property management companies that run on archaic Property Management Systems (PMS). These Legacy PMS generate Billions in revenue, yet they remain slow, incredibly complicated to use, and painfully manual.
PMSs automate only a small part of a property manager’s work, forcing companies to scale by hiring additional, often less experienced staff for labor-intensive tasks. This approach adds inefficiency and cost without truly solving the underlying problem. As a result, the property management industry suffers from razor-thin margins, a 70% employee turnover rate, and difficulty scaling efficiently.
Our Solution:
We’re leveraging the recent advancements in LLMs to automate the industry’s most arduous manual workflows — and wedging ourselves into one of the largest vertical SaaS opportunities that exist today.
Our first autonomous worker is automating the entire maintenance coordination process. This means answering the phone when tenants have a maintenance issue, diagnosing the issue, dispatching a technician, and then following up with tenants to make sure the issue was resolved. This means property managers can scale their operations without growing headcount, while providing better, faster service to their tenants.
Your Role:
You'll work closely with the founders to discover, spec, and build automations that transform how property management companies operate. As a founding engineer, you'll tackle fascinating technical challenges at the intersection of LLMs and legacy software systems, helping us create truly autonomous workers that can handle complex human workflows.
- Complex Architectural Puzzles: Navigate challenges in natural language interfaces, model evaluation complexities, customizing models to diverse client-specific needs, and multi-modal delivery (i.e., SMS, Voice, and embedded chat widget).
- Domain-Specific Models: Fine-tune and evaluate models to handle the nuanced requirements of property management, including maintenance diagnosis, vendor coordination, and tenant communication.
- Model Evaluations and Algorithms: Conceptualize and implement multi-step conversational workflows, retrieval augmented generation (RAG), search, and QA algorithms.
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Listed on Y Combinator's job board; checked 34 h ago. First seen by us 34 h ago. Being listed doesn't mean the team is actively interviewing.