Senior Sales Engineer, Lily AI
$125-165k
More information about location
Product discovery platform for brands
Job no longer available
Product discovery platform for brands
21-100 employees
Job no longer available
$125-165k
More information about location
21-100 employees
Company mission
To empower retailers and brands by bridging the gap between brand-speak and customer-speak.
Role
Who you are
- 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
What the job involves
- 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
- 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
Our take
Lily AI is a product discovery platform that utilizes purpose-built AI for retail. It helps retailers to gain a deeper understanding of their customers and explores the emotional context behind retail purchases.
Lily AI recognizes the importance of emotions in buying decisions, particularly how shoppers consider whether or not an item of clothing will suit their body shape. For example, Lily AI can recognize if a woman exclusively purchases midi length, A-line dresses, and will combine AI and emotional intelligence to determine how that shopper perceives their body shape. The AI technology will then recommend similar items and tailor search results to the individual.
The company argues that its competitors treat retail as a numbers game, and simply use AI to drive sales. Lily AI differentiates itself by putting emotional context into the situation, creating specially curated shopping experiences for consumers of its clients, which include enterprises such as Bloomingdale's, The Gap, and thredUP. 2024 Funds raised by the company are allowing for further expansion into international markets, digital platform integrations and accelerate the development of its AI solutions into the retail value chain.
Steph
Company Specialist at Welcome to the Jungle
Insights
-7% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Mar 2024
$20m
SERIES B
Dec 2023
$12.4m
EARLY VC
Total funding: $71.9m
Company benefits
- Comprehensive health and benefits package: Medical, dental, vision, and retirement plans for you and your dependents. Plus, our “Be Well” program includes stress management coaching, mindfulness sessions, mental health support, and more.
- Paid vacation time and company holidays: There are many reasons to be away from the office and we value that. We have 20 paid vacation days each year + mental health and employee appreciation days.
- Flexible working arrangements: Flexible schedules and tremendous support for working parents.
- Remote Team Building: Monthly team lunch delivered to your home, along with fun team-building activities.
Company HQ
Old Mountain View, Mountain View, CA
Leadership
Purva Gupta
(Co-Founder & CEO)Tory Burch Fellow at the Tory Burch foundation. Founder of the Venture Creation Program at Yale and former project manager at UNICEF. MBA in Finance at the Indian School of Business.
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