Account Executive - Enterprise

Posted 4 Days Ago
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New York City, NY, USA
In-Office
180K-300K Annually
Mid level
Artificial Intelligence • Machine Learning • Marketing Tech • Software
The Role
Own the full enterprise sales cycle from qualification to signed contract. Build and manage a pipeline across subscription businesses, run discovery, demo, and commercial conversations with senior stakeholders, collaborate with engineers for handoff, help evolve the sales playbook, and represent the company at events and conferences.
Summary Generated by Built In

About the job

Subsets (YC S23) is an early-stage startup building the future of AI-driven subscription growth. As an Account Executive, you will take Subsets from first conversation to signed contract. Our customers are growth, retention, and marketing leaders at consumer subscription businesses.

What you will do

  • own the full sales cycle - from lead qualification through to signed contract - with a seamless handoff to our customer team.

  • build and manage a pipeline of enterprise opportunities across news media, streaming, and e-commerce subscriptions, combining outbound prospecting with event and conference follow-ups.

  • run discovery, demo, and commercial conversations with senior stakeholders and navigate complex, multi-stakeholder deals.

  • collaborate with our Lifecycle Engineers and Solutions Engineers to ensure new customers get off to a strong start.

  • help define and evolve the sales playbook - messaging, ICP, objection handling, and process - as one of the first AEs at Subsets.

  • build and nurture industry relationships and represent Subsets at key events and conferences.

You may be a great fit if you have

  • (required) you have a proven track record of owning a full enterprise sales cycle (incl. opening your own deals) and consistently hitting or exceeding quota.

  • (required) you're comfortable navigating complex, multi-stakeholder deals and building champions across an organisation.

  • big plus if you have experience selling SaaS into subscription businesses or working with marketing tech - or a strong desire to build deep expertise here.

  • you have a consultative, value-led approach and connect product to business outcomes, not features to specs.

  • you have a builder mindset: you're not just executing a playbook, you're helping write it.

  • a strong bias toward action and the ability to work autonomously in fast-paced, loosely defined environments.

  • you don't think twice about booking a last-minute flight to be in the room.

  • you prefer a primarily in-office way of working and are energized by the pace and intensity of early-stage startups.

Perks

  • competitive salary and equity.

  • company card for all things office food/snacks.

  • dinner when working late in the office

  • 401(k) matching at 100% on the first 3% and 50% on the next 2% of employee contributions

  • excellent health insurance

Skills Required

  • Proven track record of owning a full enterprise sales cycle (including opening own deals) and consistently hitting or exceeding quota
  • Comfortable navigating complex, multi-stakeholder deals and building champions across an organization
  • Consultative, value-led selling that connects product to business outcomes
  • Builder mindset: contribute to defining and evolving the sales playbook
  • Strong bias toward action and ability to work autonomously in fast-paced, loosely defined environments
  • Willingness to travel at short notice and attend events and conferences
  • Experience selling SaaS into subscription businesses or working with marketing technology
  • Preference for primarily in-office working style and comfort in early-stage startup environments
Am I A Good Fit?
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The Company
0 Employees

What We Do

Subsets is an AI-driven lifecycle growth and retention automation platform purpose-built for consumer subscription businesses. The company provides a no-code AI decisioning layer that allows commercial teams to automate lifecycle experimentation, orchestrate personalized user journeys, and optimize retention and lifetime value (LTV) by predicting key audiences and analyzing behavioral drivers of churn.

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