Mid-Market Account Executive
Enterpret
Mid-Market 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 product, marketing, and customer success teams to make faster, customer-led decisions that drive growth and retention.
We’re looking for a Mid-Market Account Executive to own new business acquisition across our mid-market/commercial segments. This is a hybrid role based in New York City, reporting directly to the Head of Revenue.
You’ll be joining a fast-growing, high-performance team focused on driving new revenue. This is a higher-velocity sales role, ideal for someone who has grown from SDR to AE and is now ready to refine their craft in a more strategic environment. You’ll run full sales cycles, from prospecting to close, while learning to navigate more complex, multi-threaded enterprise-style deals over time.
This is a great opportunity for a coachable, driven seller who thrives in fast-moving startup environments, wants to learn advanced sales methodologies like Challenger and Force Management, and is excited to shape how Enterpret grows in the commercial segment.
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: $210,000 - $260,000 • 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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