Evertune
Account Executive
New York City · Exec
Sponsorship not specified$90k-$120kDetected 188 days ago
LLMsSEOContent MarketingHubSpotCRMSalesAccount ManagementBusiness DevelopmentPipeline ManagementNegotiationOutbound SalesForecastingCustomer SuccessResearchCommunicationOrganizational Skills
About the role
- This is a full-cycle sales role focused on prospecting, running demos, and closing new customers across brands and agencies.
- This role is built for someone who wants to sell.
- Success in this role comes from consistency, follow-through, and a willingness to do the work every day.
Responsibilities
- Own a full-cycle SaaS sales motion from prospecting through close across brands and agencies
- Manage and convert inbound leads alongside outbound efforts, qualifying opportunities and moving them quickly into active sales cycles
- Maintain accurate pipeline management, forecasting, and CRM hygiene
- Collaborate with marketing, product, and customer success to share market feedback and improve messaging, positioning, and sales execution
- Proven ability to build pipeline through outbound activity, not just work warm leads
Requirements
- At least 2 years of B2B SaaS sales experience, including 1+ year as an Account Executive following SDR or BDR experience
- Experience owning a full sales cycle, from prospecting and discovery through demo, negotiation, and close
- Comfort running frequent product demos and sales calls with marketing, growth, or digital leaders
- Strong communication skills and the ability to clearly articulate the value of a technical product to non-technical buyers
- Experience selling to enterprise brands and marketing teams
- Proficiency in Hubspot or comparable CRMs
- Familiarity with LLMs or AI search trends
Compensation
- Our salary ranges are based on paying competitively for our size and industry.
- Salary is just one part of our total compensation package that includes equity, perks & benefits, and development opportunities at Evertune AI.
- Individual pay decisions are based on several factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity relative to other Evertune AI employees.
- It is our expectation that the majority of candidates who are offered roles at Evertune AI will land well within our salary ranges based on these factors.
- The expected annual base salary for this role is between $90,000 - $120,000.
- The position includes a variable incentive plan with a target commission opportunity structured at a 50/50 split (base + target commission), tied to individual and company performance.
Benefits
- Salary is just one part of our total compensation package that includes equity, perks & benefits, and development opportunities at Evertune AI.
- Individual pay decisions are based on several factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity relative to other Evertune AI employees.
- Stock options are also included as part of the total compensation package and will be commensurate with the candidate's experience and impact.
- include top-tier Medical/Dental/Vision Coverage, HSA/FSA, Generous Paid Time Off, commuter benefits.
Company info
- you create momentum and you keep it moving.
- You'll report to a Senior Director of Business Development and work closely with executives, marketing, client services, and product as we continue to refine our motion.
- Because the company is early stage, you'll have real exposure to how decisions get made and how a modern SaaS sales engine is built from the inside.
- Evertune operates at the center of a rapidly evolving space - AI search - and the sales team plays a critical role in translating a cutting-edge product into real customer value.
- This is a role for someone who wants to grow quickly, be held to a high bar, and help shape how a category-defining product is sold.
Equal opportunity
- Evertune is an equal opportunity employer.
- equal opportunity employer.
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This listing is sourced directly from Evertune's careers page and normalized into a canonical job model.