Enterprise Account Executive
Enterpret
Enterprise Account Executive
Enterpret
Transforms customer feedback into product insights
At Enterpret, we’re building the future of Customer Intelligence — helping companies deeply understand their customers by transforming feedback, conversations, and qualitative data into actionable insights through AI. Our platform enables teams across product, marketing, and customer success to make faster, customer-led decisions that drive growth and retention.
We’re looking for an Enterprise Account Executive to own new logo acquisition and drive growth in our enterprise segment. Reporting directly to the Head of Revenue, you’ll be responsible for identifying, engaging, and closing new enterprise customers who can benefit from Enterpret’s Customer Intelligence platform. This role will be hybrid (New York City).
You’re a consultative seller who thrives in a fast-paced, high-growth environment. You’re comfortable with prospecting, discovery, and executive-level conversations. You know how to navigate complex buying committees to land strategic deals. You’ll work cross-functionally with Marketing, Product, Customer Success, and Pre-Sales to deliver a seamless experience from first contact through contract signature.
If you are excited about this opportunity but do not meet every qualification, we still encourage you to apply. We know that great candidates bring diverse experiences and strengths beyond what is listed in a job description, and we consider exceptional candidates whose skills and potential align with the role.
Compensation Range: $250,000 - $300,000 • Offers Equity • 50/50 Split
The final compensation will depend on the location and level at which the candidate is hired.
Enterpret provides a customer feedback intelligence platform that helps product teams turn feedback into actionable insights. It collects feedback from multiple sources, unifies and categorizes it using adaptive AI into a Custom Unified Feedback Taxonomy, and enables precise, granular insights to prioritize product work. How it works: users access a user-friendly interface, build dashboards, and use semantic search to interpret the meaning across feedback, with automated summaries. Differentiators: adaptive taxonomy that evolves with feedback, semantic search across all feedback, and a structure that supports non-technical operators; the service includes dedicated data auditors for weekly model refreshes and a dedicated Customer Success Manager. Goal: help product companies build products centered on customer needs by continuously refreshing models and insights.
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