The Senior Sales Engineer will drive deal strategy, provide technical guidance, and support the sales process, collaborating with various teams.
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. We are 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
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):
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
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.
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.
Top Skills
Computer Vision
E-Commerce Platforms
Inventory Management
Large Language Models
Machine Learning
Natural Language Processing
Predictive Analytics
Retail Planning
Search Engine Optimization
Testing And Optimization
Web Analytics
Web Personalization Platforms
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