
51 - 200 employees
Founded 2017
🏨 Hospitality
🏗️ Construction
📦 Logistics
💰 $20.5M Series B on 2021-11
Hospitality • Construction • Logistics
PadSplit is a platform that focuses on affordable co-living solutions, allowing individuals to rent private rooms in shared homes across various cities in the United States. By offering flexible stays with trusted identity and screening measures, it aims to create a safe and homey environment for its members. PadSplit markets itself as a more affordable option compared to other room rental services and helps members save money and build credit. The company also provides an opportunity for property owners to earn and make a positive impact in their communities by hosting rooms. PadSplit is recognized for its innovative technology and affordable housing solutions.
🕒 June 18
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51 - 200 employees
Founded 2017
🏨 Hospitality
🏗️ Construction
📦 Logistics
💰 $20.5M Series B on 2021-11
Hospitality • Construction • Logistics
PadSplit is a platform that focuses on affordable co-living solutions, allowing individuals to rent private rooms in shared homes across various cities in the United States. By offering flexible stays with trusted identity and screening measures, it aims to create a safe and homey environment for its members. PadSplit markets itself as a more affordable option compared to other room rental services and helps members save money and build credit. The company also provides an opportunity for property owners to earn and make a positive impact in their communities by hosting rooms. PadSplit is recognized for its innovative technology and affordable housing solutions.
• Define and execute PadSplit's company-wide AI strategy, including adoption goals, governance standards, enablement programs, and business impact measurement. • Lead the Analytics, Business Intelligence, Machine Learning, and AI enablement teams as a unified data and AI organization. • Drive the machine learning and predictive analytics roadmap, including pricing optimization, risk modeling, search relevance, and future AI-powered capabilities. • Oversee the health, quality, governance, scalability, and cost efficiency of PadSplit's data ecosystem. • Partner with Legal and executive stakeholders to establish ethical AI standards and responsible deployment practices. • Collaborate with Product teams to build data-driven experiences and predictive features that improve member and host outcomes. • Translate data and analytics into actionable insights that influence decisions across Product, Finance, Marketing, and Operations. • Assess emerging AI and machine learning technologies and determine where they can create meaningful business value.
• 10+ years of experience in data, analytics, machine learning, or AI leadership roles, including experience managing managers. • Proven success leading both analytics and machine learning functions within a single organization. • Demonstrated track record implementing AI solutions at scale and measuring business outcomes. • Strong understanding of modern data platforms, machine learning systems, analytics tooling, and AI technologies such as Snowflake, dbt, and Hex. • Clear point of view on AI governance, responsible deployment, bias mitigation, and customer impact. • Ability to influence senior leaders, present to boards, challenge assumptions, and simplify complex technical concepts. • Experience working across Product, Finance, Marketing, Legal, and Operations to deliver business outcomes through data. • Hands-on familiarity with modern data stacks and experience managing data quality, governance, and platform costs.
• Fully remote position - we swear! • Competitive compensation package including an equity incentive plan and company-wide bonus opportunity • National medical, dental, and vision healthcare plans • Company provided life insurance policy • Optional accidental insurances, FSA, and DCFSA benefits • Unlimited paid-time (PTO) policy with eleven (11) company-observed holidays • 401(k) plan • Twelve (12) weeks of paid time off for both birth and non-birth parents • The opportunity to do what you love at a company that is at the forefront of solving the affordable housing crisis
Apply Now🕒 June 17
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