Lightning AI
Senior Enterprise Account Executive
Lightning AI, Palo Alto, California, United States, 94306
You thrive in a fast-paced, start-up environment focusing on every step of the sales process, from prospecting, qualifying, and nurturing leads to running demos, negotiating contracts, and closing deals.
As our 3rd Senior AE, you will report to our VP of Product, Priya Shivakumar, and work closely with our CEO and CTO to get clients over the line.
Responsibilities:
Build an understanding of our target markets, value proposition, and pricing models to not only meet but exceed quarterly revenue targets.
Focus on high-quality, consistent outbound prospecting across key market segments to build the sales pipeline and optimize the customer funnel.
Qualify and develop both inbound and outbound sales leads.
Collaborate with the product, engineering, and marketing teams to continuously improve and iterate on the sales process.
Analyze industry trends and customer segmentation to identify and capitalize on new sources of qualified leads.
Work alongside the marketing team to increase the number and quality of inbound leads.
Champion data integrity and accuracy using HubSpot to track activity and manage sales opportunities through the funnel.
Interview Process:
Virtual Onsite - ~3 hours: You'll have the opportunity to meet with our CTO, Head of Product, Chief of Staff as well as more time with Priya Shivakumar for 45 minutes each and work through exercises spanning prospecting, lead qualification, sales presentations, and culture.
Sales Pitch and CEO interviews: 1.5 hours: Now that you’ve met with our team and learned more about Lightning, this will be an opportunity to meet with the team again and pitch the Lightning platform, along with meeting with our CEO.
Compensation:
Every member of our sales team will have a commission plan that includes uncapped commissions, guaranteed 3-month ramp compensation, and quarterly payments.
Company information:
The platform to build models & build/publish Lightning Apps (ML workflow templates) that “glue” your favorite ML lifecycle tools together. Build ML in days, not months.
Founded: 2019, New York, NY
Company Specialties:
Artificial Intelligence, Machine Learning, Infrastructure, deep learning, data science, and open source.
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