Ahead
AI Sales Specialist
New York, New York
Sponsorship not specified$360k-$400kDetected 509 days ago
Cloud PlatformsMachine LearningSalesforceCRMSalesPipeline ManagementNegotiationCustomer SuccessLeadershipCommunicationCollaborationPublic SpeakingAdaptability
About the role
- We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD.
- This OTE range may vary based on the candidate's relevant experience, qualifications, and geographic location.
Responsibilities
- Develop and execute sales strategies to achieve revenue targets and market growth.
- Build and maintain a robust sales pipeline, ensuring a consistent flow of qualified leads and opportunities.
- Build and nurture long-term relationships with key stakeholders, including C-level executives and decision-makers.
- Deliver compelling presentations and product demonstrations, highlighting the value of AI in driving business outcomes.
- Collaborate with Consulting, Delivery, Presales teams to design customized AI solutions that address client needs.
- Work closely with Core Sales, Marketing, Presales, Engineering and Customer Success teams to ensure seamless client onboarding and support.
Requirements
- 5+ years of experience in enterprise sales with a primary focus on professional services, consulting, and/or managed services, ideally in data, cloud, or AI domains.
- The ideal candidate will have a strong background in enterprise professional and managed services sales with experience structuring complex services engagements that may include supporting product components.
- Bachelor's degree in business, technology, or a related field
- advanced degree preferred.
- Demonstrated success selling and closing complex services engagements (e.g., multi-phase transformations, multi-year managed services, or large consulting programs).
- Exceptional communication, negotiation, and presentation skills.
- Ability to manage complex sales cycles and navigate organizational hierarchies.
- Entrepreneurial mindset with a passion for technology and innovation.
Nice to have
- Experience selling consulting and managed services focused on AI, data, or other technology-based solutions to enterprise clients.
- Familiarity with CRM tools (e.g., Salesforce) and sales analytics platforms.
- Results-driven with a proactive approach to problem-solving.
- Adaptable and capable of thriving in a fast-paced, dynamic environment.
- Consultative and strategic, capable of elevating conversations from products and features to business outcomes, operating models, and change management.
- Collaborative and influential, able to work across sales, delivery, product, and executive stakeholders to shape and close complex services deals.
- Strong interpersonal skills with the ability to inspire confidence and trust in clients.
- These tools assist our recruitment team but do not replace human judgment.
Skills
- Stay informed about the latest trends and developments in AI and machine learning technologies.
- Provide market feedback to internal teams on services offerings, packaging, and pricing to refine product offerings and strategy.
- Represent the company at industry events, conferences, and webinars, positioning the organization as a leader in AI solutions.
- Final hiring decisions are ultimately made by humans.
- Candidates will not be penalized for choosing to opt-out.
Compensation
- The compensation range indicated in this posting reflects the On-Target Earnings ("OTE") for this role, which includes a base salary and any applicable target bonus amount.
Benefits
- Medical, Dental, and Vision Insurance
- Paid parental and caregiver leave
- Plus more! See benefits https://www.aheadbenefits.com/ for additional details.
- Translate complex technical concepts into clear and actionable business benefits for non-technical stakeholders.
Visa & Work Authorization
- You may opt-out of the review or analysis of your application and resume by AI tools by using the General Application.
This listing is sourced directly from Ahead's careers page and normalized into a canonical job model.