AI Sales Expert
4 weeks ago
LTIMindtree is seeking an experienced sales professional to drive the adoption of our cutting-edge generative AI solutions. As an AI Sales Expert, you will be responsible for prospecting, qualifying, and closing new business opportunities with enterprise customers across various industries.
Key Responsibilities:- Understand customer needs and objectives, providing expert guidance on GENAI solutions.
- Create and deliver engaging presentations and demos of our GENAI offerings to technical and non-technical audiences.
- Develop custom solution proposals that align with customer objectives and AWS, GCP, and Azure capabilities.
- Collaborate with sales teams to understand customer requirements and provide expert guidance on GENAI solutions.
- Design and deliver compelling presentations and demos of our GENAI offerings to a technical and non-technical audience.
- Deep understanding of LLM and AI chat technology use cases and deployment methodologies.
- Familiarity with AWS Bedrock, Microsoft Copilot, and other mainstream hyperscale AI platforms.
- Provide technical leadership throughout the sales process and ensure a deep understanding of our products and their value proposition.
- Stay updated on the latest developments in GENAI technologies, AWS, and Azure platforms to maintain a competitive edge.
- Collaborate with sales teams and other internal stakeholders to support sales efforts.
- Collaborate effectively with account and practice leaders internally to help further sales strategy, lead our business development pursuits, and develop account plans.
- In partnership with account leaders and sales executives - prospect and qualify client opportunities related to project-based work, either originated from the partner ecosystem or internal sources.
- Travel as needed to meet with customers and prospects.
- Bachelor's degree in computer science, engineering, or a related field. Master's degree is a plus.
- Certifications, diploma in AI, GenAI, data analytics.
- Experience in a pre-sales, technical consultant, or similar role, with a focus on AI/ML solutions.
- Minimum 5+ years with current experience in GenAI.
- Overall, 15-20 years of technology sales experience.
- Prior experience of managing large services portfolios or being a practice leader.
- Deep technical expertise in AWS and Azure, including certifications (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure AI Engineer Associate).
- Strong understanding of GenAI technologies and their application in business contexts.
- Deep understanding of LLM and AI chat technology use cases and deployment methodologies.
- Familiarity with AWS Bedrock, Microsoft Copilot, and other mainstream hyperscale AI platforms.
- Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders.
- Proven ability to develop custom solutions and proposals that meet client needs.
- Ability to work in a fast-paced, dynamic environment and manage multiple projects simultaneously.
- Open to frequent travel.
- Base Salary Compensation Range: USD 220,000 to 300,000
- Comprehensive Medical Plan Covering Medical, Dental, Vision
- Short Term and Long-Term Disability Coverage
- 401(k) Plan with Company match
- Life Insurance
- Vacation Time, Sick Leave, Paid Holidays
- Paid Paternity and Maternity Leave
Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.
LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.
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