VP of Engineering

Lily AI is the customer intent platform built to power the present and future of ecommerce. Lily AI injects robust product attribute data and unique customer intent into the entire ecommerce stack, supercharging retailers of all types by dramatically improving on-site search, personalized product discovery, recommendations and demand prediction, unlocking millions in new revenues.

Lily AI allows major retailing brands to:

• achieve 8-9 digit lifts in top- and bottom-line revenue impact
• configure 10x more attributes for each product - from fit to style, from embellishments to occasion and much more
• use the relationships between product attributes & how they intersect with each unique consumer's behavior, motivations and emotional context to then inject customer intent into ecommerce in a way that's never been done before
• supercharge the entire ecommerce stack

The company is a women-founded startup headquartered in Mountain View, CA and is backed by Canaan Partners, NEA, Fernbrook Management, Unshackled Ventures among others. Our customers range from big box stores to specialty brands, and full-line department stores to resale marketplaces.

About this role:

We are looking for an engineering leader to manage multiple product engineering teams building the future of personalization based on the shopper's emotional context. In this role, you will partner with the product, business, machine learning and styling teams to evolve the technical strategy and scale the team to execute on the goals.

Your day-to-day will include:

• Partner with senior leadership in Engineering and Product to set the vision and strategy for technology and own the timely delivery on the roadmap
• Drive key decisions on architecture, infrastructure and implementation of highly reliable and scalable AI platforms
• Working with the Executive team on Strategic Planning and then assisting with communicating and implementing with key stake holders
• Grow and mentor an exceptional team of engineers and leaders by setting clear goals and giving them actionable feedback
• Identify and resolve bottlenecks in engineering processes/workflows and monitor key performance indicators (KPIs) to deliver high quality work
• Build strong alignment and partnerships with product, machine learning and styling teams

What we consider critical for this role:

• High emotional intelligence. Ability to listen and communicate with employees and customers.
• 7 years experience managing Engineering Managers
• Experience building and scaling real-time distributed systems and infrastructure
• Extensive experience recruiting, mentoring and retaining great individual contributors and managers
• Champion engineering and operational excellence

Bonus Points:

• Experience working at a high growth SaaS startup
• Experience working in a personalization/ML stack

Core Tech Stack:

• Java, Ruby on Rails, Python
• AWS, GCP