Lead customer demonstrations and serve as a subject-matter expert on fee transparency and compliance for multifamily operators. Monitor regulatory developments and translate requirements into product specifications while supporting sales and customer success teams.
The Sales Engineer will lead technical sales, conduct product demonstrations, and architect custom solutions for clients. They will also act as a bridge between customers and the product team to translate pain points into actionable engineering requirements.
You will own and execute multi-channel demand generation and account-based marketing programs to drive pipeline growth. You will also collaborate with cross-functional teams to optimize campaign performance, manage budgets, and ensure accurate tracking and attribution.
Improve the accuracy of multifamily data metrics by diagnosing discrepancies and designing system fixes. Partner with engineering to deploy and monitor new analytics logic and AI-driven tools in production.
The Account Executive will prospect, qualify, and close new business opportunities with multi-family owners and operators. They will also act as a product expert to help clients integrate tools into their workflows while maintaining accurate pipeline records in Salesforce.
The Data Quality Analyst will investigate and resolve data quality issues while maintaining and executing standard operating procedures. They will also experiment with AI-assisted workflows and report on data health metrics to cross-functional stakeholders.
You will own the end-to-end product lifecycle for an AI-native business intelligence platform, from discovery and prototyping to launch and adoption. You will collaborate with engineering and design to build evaluation frameworks and ensure the product delivers safe, trustworthy, and high-quality AI outputs.
You will own the end-to-end data pipeline that powers pricing recommendations, including ingestion, demand models, and infrastructure. You are responsible for ensuring system health, data accuracy, and building robust observability across the architecture.
Own the end-to-end development of features from the data model and Rails API to the front-end interface. Build AI-native product surfaces utilizing LLMs and agents for data ingestion and verification.
Lead the end-to-end product development process from discovery to launch while defining strategic product vision. Partner with engineering, design, and data teams to prioritize features and deliver solutions that solve real customer problems.
