Enterprise Account Executive
To see similar active jobs please follow this link: Remote Sales jobs
Labelbox’s mission is to build the best products to align with artificial intelligence. Real breakthroughs in AI are reliant on the quality of the training data. Labelbox's data engine enables organizations to dramatically improve the quality of their training data, which makes their machine learning models more accurate and performant. We are determined to build software that is more open, easier-to-use, and singularly focused on helping our customers get to production AI faster.
Current Labelbox customers are transforming industries within insurance, retail, manufacturing/robotics, healthcare, and beyond. Our platform is used by Fortune 500 enterprises including Allstate, Black + Decker, Bayer, Warner Brothers and leading AI-focused companies including FLIR Systems and Caption Health. We are backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures (Google's AI-focused fund), Databricks Ventures, Snowpoint Ventures and Kleiner Perkins.
About the Role
We're looking for an experienced Enterprise Account Executive to join our sales team. This is a field sales position based in the West Coast region.
Your Day to Day
Meet and exceed quarterly bookings targets from expansion of existing customers and net new customer acquisitions
Develop and execute a pipeline development plan to drive 4:1 quarterly and annual pipeline to quota coverage
Elevate Labelbox's visibility at large Enterprises and communicate our value proposition with VP and C-Suite executives
Work closely with the Engineering and Product teams to relay customer needs, pain points, and experiences to drive product strategy
About You
5+ years of closing sales experience at a technology company and experience closing contracts with minimum $100k+ ACV
Experience managing a consultative sales cycle with Executives at Fortune 500 companies
Highly organized & autonomous
Entrepreneurial and self-motivated
Have experience selling data, AI, or a technical product to data scientists, engineering leaders, and C-level executives
Have experience running the full sales cycle including strong qualification, creating proposals, negotiating contracts, dealing with procurement, and customer success
Are familiar with Salesforce and sales prospecting tools
Are an excellent communicator verbally and in writing
Labelbox strives to ensure pay parity across the organization and discuss compensation transparently. The expected annual base salary range for this United States based position is $125,000 - $150,000 + commission. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.
We hire great people regardless of where they live. Work wherever you’d like as reliable internet access is our only requirement. We communicate asynchronously, work autonomously, and take ownership of our work.
About the job
Enterprise Account Executive
To see similar active jobs please follow this link: Remote Sales jobs
Labelbox’s mission is to build the best products to align with artificial intelligence. Real breakthroughs in AI are reliant on the quality of the training data. Labelbox's data engine enables organizations to dramatically improve the quality of their training data, which makes their machine learning models more accurate and performant. We are determined to build software that is more open, easier-to-use, and singularly focused on helping our customers get to production AI faster.
Current Labelbox customers are transforming industries within insurance, retail, manufacturing/robotics, healthcare, and beyond. Our platform is used by Fortune 500 enterprises including Allstate, Black + Decker, Bayer, Warner Brothers and leading AI-focused companies including FLIR Systems and Caption Health. We are backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures (Google's AI-focused fund), Databricks Ventures, Snowpoint Ventures and Kleiner Perkins.
About the Role
We're looking for an experienced Enterprise Account Executive to join our sales team. This is a field sales position based in the West Coast region.
Your Day to Day
Meet and exceed quarterly bookings targets from expansion of existing customers and net new customer acquisitions
Develop and execute a pipeline development plan to drive 4:1 quarterly and annual pipeline to quota coverage
Elevate Labelbox's visibility at large Enterprises and communicate our value proposition with VP and C-Suite executives
Work closely with the Engineering and Product teams to relay customer needs, pain points, and experiences to drive product strategy
About You
5+ years of closing sales experience at a technology company and experience closing contracts with minimum $100k+ ACV
Experience managing a consultative sales cycle with Executives at Fortune 500 companies
Highly organized & autonomous
Entrepreneurial and self-motivated
Have experience selling data, AI, or a technical product to data scientists, engineering leaders, and C-level executives
Have experience running the full sales cycle including strong qualification, creating proposals, negotiating contracts, dealing with procurement, and customer success
Are familiar with Salesforce and sales prospecting tools
Are an excellent communicator verbally and in writing
Labelbox strives to ensure pay parity across the organization and discuss compensation transparently. The expected annual base salary range for this United States based position is $125,000 - $150,000 + commission. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.
We hire great people regardless of where they live. Work wherever you’d like as reliable internet access is our only requirement. We communicate asynchronously, work autonomously, and take ownership of our work.