Goodie AI
Director of Sales
New York City · Director
Sponsorship not specified$240k-$300kDetected 20 hours ago
RESTSEOHubSpotSalesNegotiationOutbound SalesRecruitingOnboardingLeadershipCommunicationMentoring
About the role
- define the sales function at one of the most important AI infrastructure companies being built right now.
Responsibilities
- Run full-cycle sales: discovery, demos, business cases, negotiation, and contracting on your own book of business.
- own inbound conversion and build on Goodies outbound motion, targeting CMOs, VP's of Marketing, VPs of SEO and digital marketing leaders.
- Build and Coach the Team
- Define the ideal AE hiring profile and build the onboarding program that will scale beyond your first hires.
- Develop ROI narratives and business case frameworks that translate Goodie's platform into quantifiable outcomes for enterprise marketing teams.
- Drive GRM Strategy
- Own the revenue strategy with full accountability for direction. This role is for someone who generates strategy, not someone who waits for it.
- Partner directly with the CEO and the rest of the leadership team on GTM alignment, campaign feedback, and pipeline planning.
Requirements
- 5+ years of enterprise of mid-market B2B SaaS sales, with a consistent track record of hitting or exceeding quota.
- Direct experience in a player-coach or sales management capacity.
Skills
- Hands-on fluency with modern sales tools (HubSpot, Outreach, Apollo, Clay, or equivalents).
- Background in martech, SEO platforms, digital marketing technology, or AI-native SaaS products.
- Existing relationships with enterprise or mid-market brand and digital marketing leaders.
- Experience hiring, onboarding and ramping AEs from scratch.
- Bonus/Nice-to-haves
- Benefits and perks of becoming a Goodie:
- Earn More, Together: Base Pay + Profit Sharing & Commissions Opportunities
- Health First: Premium Medical, Dental & Vision Coverage
- Flex
- Identify whats's working in the market and turn it into repeatable process before scaling.
Compensation
- Goodie AI is committed to pay transparency and equity among all employees and provides employees an environment where pay transparency and dialogue on compensation are allowed.
- Goodie AI complies with federal, state, and local laws on compensation, pay transparency, and pay equity.
- We take factors including geographic location, education, training, skillset, market rates, certifications, and more into consideration when constructing pay ranges for new and existing roles within our organization.
- The compensation range for this position is an OTE of $240,000-$300,000.
Benefits
- Premium Medical, Dental & Vision Coverage
- Home Office Stipend
- Unlimited PTO Plan
- Paid Parental Leave Plan
- Gym, Wellness, and Access to Mental Health Plans
- Goodie AI is committed to pay transparency and equity among all employees and provides employees an environment where pay transparency and dialogue on compensation are allowed.
- Goodie AI complies with federal, state, and local laws on compensation, pay transparency, and pay equity.
- We will consider all qualified applicants without regard to race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, or disability status.
Company info
- real-time visibility into how AI models speak about their brand and products, how competitors show up, and an optimization engine to improve visibility and performance.
- This category didn't exist two years ago - we were early, and we're defining it.
- We're backed by strong investors, trusted by category-leading customers, and scaling fast.
- We're hiring curious, ambitious builders to help shape the future of AI search.
- At Goodie AI, we understand that diversity in the workplace is vital to a company's success and growth.
Equal opportunity
- EEO & Compensation Transparency:
- To that end, Goodie AI is committed to Equal Opportunity Employment and complies with all Equal Opportunity Employment laws.
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This listing is sourced directly from Goodie AI's careers page and normalized into a canonical job model.