About Lily AI:

Lily AI is a female-founded retail AI company empowering retailers and brands by bridging the gap between merchant-speak and customer-speak. Leveraging computer vision, natural language processing, machine learning, and vertical-specific large language models (LLMs), the Lily platform enhances customer shopping experiences by analyzing product catalogs and automatically enriching the assortment with the natural language consumers actually use when they search and shop. The platform then distributes the optimized data across a retailer’s entire ecosystem from their website to Google Ads and beyond, ultimately delivering upwards of 9-figure revenue lift through improved product attribution, enhanced discovery, increased traffic and higher conversion.

The company is headquartered in Mountain View, CA but also spread throughout the United States. We have a remote-friendly working culture that supports all employees’ work from home needs. Venture backed by Canaan Partners, Conductive Ventures, 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.

Are you the type of pre-sales consultant that wants to set the bar for achievement at a fast-growing start-up in one of the hottest SaaS markets? Does getting in on the ground floor and helping drive the company’s early success get you excited? Are you motivated by playing a critical role in building the future of the company?

Lily AI is seeking a results-driven Senior Sales Engineer with proven SaaS sales experience. As a Sales Engineer at Lily you will drive deal strategy and execute alongside our sales team who are focused on targeting and closing new business and expanding existing business. In the role you will actively collaborate with team members in our customer success, product, engineering, and marketing departments.

We’re looking for a passionate and driven self-starter to join the Lily team and we need a Pre-Sales Engineer who gets fired up to:

• Own the technology evaluation stage of the sales process with our prospects, from early product demonstrations to structured evaluations of the platform
• Creatively solve technical implementation issues in a variety of technical environments
• Participate in webinars and industry events, demonstrating the value of our offering
• Help provide expertise for Proof of Concepts and Onboarding.

We have found that the most successful Sales Engineers have strong technical aptitude, are great at building relationships and are interesting, confident and strategic storytellers. As a team we are very passionate, are thought leaders and are always ready to roll up our sleeves and execute.

In this role you will:

• Provide product/service advice and technical guidance to sales representatives, partners, and prospects while empathizing with their business challenges
• Pro-actively engage with colleagues in ongoing knowledge sharing and subject matter growth
• Create and deliver customized product demonstrations for prospects, customers, and partners both in-person and remotely
• Participate in the completion of RFPs and/or RFIs
• Create/maintain documentation for opportunities or internal process
• Work collaboratively across multiple departments:
• Customer Success to document and scope implementation services
• Product and Engineering teams to return product feedback to inform future product requirements/enhancements, and influence the product roadmap
• Marketing to be the face of the messaging and to provide industry feedback

Requirements:

• 3+ years experience in a customer-facing technical role with SaaS solutions in a B2B environment
• Highly dependable, team player with high energy, positive attitude and with great organization and time management skills
• Must possess strong presentation skills and be able to communicate professionally in written responses to emails, proposals, and formal RFPs.
• Solution selling experience in large-scale evaluations that involve multiple departmental stakeholder interests: Marketing, Sales, E-commerce, Operations, IT and Security
• Experience positioning an application that may require a customer’s change in process
• Strong technical aptitude for learning new technologies
• Experience with E-commerce, Personalization, Retail Planning and Merchandising, or PIM solutions is preferred but not required
• Ability and willingness for 5-10% travel
• Ability and willingness to travel nationally and internationally
• Ability to work remotely (with a controlled office-like setup)
• Comfortable being self-sufficient in a highly dynamic startup environment

Familiarity with at least some of the following systems is a prerequisite

• Retail Planning and Inventory Management
• Predictive Analytics
• Web Analytics
• E-commerce Platforms
• Web Personalization Platforms
• Search Engine Optimization and Marketing
• Testing, Optimization and multivariate testing

Currently, we are hiring from the following states – (candidates must be in current residence or open to relocating):

Alabama • Arizona • California • Florida • Georgia • Illinois • Indiana Massachusetts • Minnesota • Nevada • New Jersey • New York • North Carolina • Rhode Island • Tennessee • Texas • Utah • Virginia • Washington

Compensation is competitive and will be determined based on a combination of experience, seniority, internal, external equity and location. For some context: this position in the US would pay between $125,000 - $165,000 USD per year, depending on experience and seniority. In other regions, compensation will be adjusted for local currency and local market rates. Lily AI compensation policy is calculated with a focus on equity and where employees can thrive.