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IBM Senior Go To Market (GTM) Specialist - Artificial Intelligence in New York, New York

Introduction

IBM Application Consultants work directly with our clients on key initiatives. You will have the opportunity to build an in-depth understanding of their business issues and implement organizational strategies that drive adoption of change. We are looking for experts who can build credibility and trust with our clients and provide knowledge that addresses individual and unique business needs.

Your Role and Responsibilities

Senior Go To Market (GTM) specialist, GenAI

In this role you will be responsible for defining, building, and deploying targeted GenAI strategies and governance models to accelerate customer adoption of GenAI services and solutions (cross vendor stack including IBM) across industry verticals. You will be working with several GenAI model producers and Industry teams around developing joint-GTM plans, customer engagements, internal/external evangelism, and developing demos and proof-of-concepts of GenAI end applications / use cases with Large models.

Key job responsibilities

You will have the hands-on opportunity to define GTM strategies for GenAI strategy and governance and lead cross-functional initiatives to drive adoption, expand existing markets and identify new opportunities. Activities include opportunity identification, opportunity pipeline build, working with customers and account teams to understand technical requirements for proof-of-concepts and demos, driving industry thought leadership, supporting account teams in GenAI pursuits (cross industry) and delivering quick demos in the areas of GenAI leveraging appropriate technology stack and Large models as demanded by the customer context.

As the ideal candidate, you possess a business and technology background (AI/Machine Learning) that enables you to lead and drive GenAI engagements / pursuits with cross industry customers. You have domain expertise in GenAI and key AI/ML use cases. You have the technical depth to articulate the nuances of GenAI and how it could be applied in a specific situation including the governance aspects to different stake holders within our customer's organization. In addition, you have a good understanding of the GenAI market trends, ecosystem, opportunities and are passionate about market development and evangelism. You will need to be adept at interacting, communicating, and partnering with industry/account team and cross domain specialists, solution architects, data scientists and externally with customers and 3 rd party eco system partners.

You will drive the development of GTM plan for building and scaling GenAI solutions (cross stack), interact with customers directly to understand their business problems, and work with our solution developers and architects to help them define and implement scalable GenAI solutions to solve them. You will also work closely with our account teams and product teams to drive POC and solution implementations. You will also look for patterns and trends that can be broadly applied across industry segment / set of customers that can help accelerate innovation and deliver business value.

Required Technical and Professional Expertise

  • 10+ years of experience with technical business development, sales, program/product management and significant time with AI/ML tech.

  • Experience developing strategies that influence decisions at the organization / BU level.

  • Experience managing programs across functional teams and willingness to lead by example.

  • 5+ years of industry experience with GenAI/LLM in a business development, GTM capacity.

  • Experience influencing and negotiating with customers, up to C-suite or VP level.

  • Prior experience achieving sales targets and performing billable work with customers and leading GenAI engagements.

Preferred Technical and Professional Expertise

  • Good working knowledge (hands-on) in Machine learning, Deep Learning, Foundation Models / Large Language Models/ Generative AI across various popular tech stacks (e.g., AWS, Microsoft, Google, OpenAI, IBM).

  • Overall minimum 10+ years of experience in AI / Machine Learning space.

  • Good exposure (practical) to model governance and security will be a plus.

About Business UnitIBM Consulting is IBM's consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients' businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet.

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Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

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About IBMIBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

Location StatementIBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. We consider qualified applicants with criminal histories, consistent with applicable law.

Being You @ IBMIBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

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