Vice President of Data & AI/ML

The RealReal is the world’s largest online marketplace for authenticated, resale luxury goods. Through our work, we are committed to contributing to a sustainable future, both for fashion and for our employees. Authenticity is a core component of our business; we value it in our products and we celebrate it across our teams by encouraging every TRR employee to bring their REAL authentic selves to work each day. We’re hiring, and we’d love for you to join our dynamic team!

As a Vice President of Data & AI/ML at The RealReal you'll drive our Data Science, Machine Learning and Data Engineering Organization. You will own critical systems throughout the platform and be responsible for your team's performance, delivering impact to the organization on both top and bottom line, and be a contributing and collaborative member of the tech team and company.

What You Get To Do Every Day

• Develop and manage the strategy, and supporting roadmap, for the Data & AI/ML function 
• Manage the Data Scientists, ML/AI Engineers and Data Engineers
• Own the company data pipelines supporting core analytics, reporting, finance and related functions
• Own and develop software services that solve real pain points and frustrations for the customer and deliver measurable business value
• Collaborate with leadership, Product management, Design, engineering groups and other company stakeholders in the development of impactful products that use our differentiated data
• Lead, develop and mentor team members to build the company's overall expertise in Data Science, ML and Data Engineering
• Work to make The RealReal an innovator in the space by bringing passion and new ideas to work every day.
• Scale ML model performance, debugging and monitoring ML applications and tuning pipelines
• Lead the Design and implementation of machine learning life cycle management
• Process engineering and re-engineering to optimize and ensure TRR can address challenges that may occur when integrating our models into workflows, applications and/or systems.
• Lead the adoption, use and governance of common tools and techniques to build large-scale AI applications, including productionizing models with CI and CD
• Architect and maintain TRR enterprise Machine Learning ecosystem and sustainable infrastructure to serve the needs of our Data Scientist teams; support our data-driven business activities at large scale.
• Perform R&D on new technologies and solutions to improve accessibility, scalability, efficiency and abilities of machine learning and analytics platforms
• Influence how ML/AI can be used to create demand, enable sales, and support different organizations including product, merchandising and marketing with predictive and prescriptive intelligence
• Collaborate with Analytics, Research and Insights team on how to optimize, improve and create action plans as we continue to leverage our data and understand our customers deeper, conversion rate optimization, and customer churn opportunities

What You Bring To The Role

• 15+ years of progressive business experience in the data management  / big data, data science, and AI/ML domain, including 5+ years of senior leadership experience building and leading successful Data and ML/AI organizations
• Experience with creating and deploying ML/AI plans and capabilities across the organization that had significant business impact
• Proficient in translating business strategy into a Data Science and AI/ML vision, driving the creation and execution of a multi-year roadmap with a focus on data strategy, architecture, engineering, data science, data mining, and machine learning / AI
• Demonstrated ability to develop and deliver compelling executive-level presentations
• Excellent verbal & written communication skills with demonstrated ability to convey complex concepts and analyses in an accessible and compelling way
• Demonstrated ability to lead projects and teams in a fast-paced environment and to inspire rapid adoption of change in a complex matrixed organization with distributed virtual teams
• A results-driven leader with exceptional business vision and strategic acumen, proven in solving complex problems, cultivating creativity, and effectively extracting the broader business narrative from facts and data
• Experienced in implementing an enterprise-level Data Governance program, fostering partnerships across the business, and employing best practices to ensure data consistency across Data and Analytics platforms, tools, and solutions

The expected salary range for this role is $315,000 - $325,000. To determine starting pay we carefully consider a variety of factors, including primary work location and an evaluation of a can