Global Ecosystem AI Platform Leader

The Red Hat Global Ecosystem Technology Sales team is looking for an AI Platform Leader to join our team. This leadership position is responsible for the development of Ecosystem strategy supporting the Global AI Platform business as well as partnering with Geo teams on the execution. This role is also responsible for the development and advocacy of Red Hat’s go-to-market (GTM) strategies and tactics at a global level for the AI Platform business for partners.

What you will do:

• Lead the AI sales strategy for the Global Ecosystem, including articulation of clear business value of AI, to continue to elevate our impact to both our internal and external customers, driving growth through net new opportunities.

• Accountable for the Global Ecosystem AI targets and planned growth.

• Serve as the technical thought leader for AI, acting as a trusted advisor for Red Hat account teams within the Global Ecosystem.

• Collaborate with the Global and Geo AI Platform Leader for sales strategy and execution, to include ensuring Ecosystem strategy aligns with and complements direct sales strategy.

• Collaborate with the Global Ecosystem RHEL, Ansible, and AI Platform Leaders when joint GTMs may be required to simplify our offerings from the customer point of view.

• Support AI Platform efforts in Geo in collaboration with Geo Ecosystem AI Platform Leaders.

• Synthesize regional feedback for Product team and Engineering reviews.

• Represent Ecosystem in the monthly Business Leadership Team (BLT) meeting.

• Execute global sales plays with the support of the Global and Segment sales teams.

• Represent Red Hat through public thought leadership (written and/or spoken advocacy).

What you will bring:

• 10+ years experience in a sales leadership role in a technology sales environment.

• Strong technical and business background with a track record of leading cross-functional teams and delivering on complex projects. 

• Proven track record of managing direct and indirect teams, as well as strong cross functional collaboration skills, with a proven track record of success.

• Experience in Linux, Kubernetes, and cloud platforms like AWS, Azure, or Google Cloud.

• Extensive knowledge of the AI market, use cases, competitors and value.

• Experience building and/or contributing to pre-sales material and process creation.

• Ability to present to and have conversations at multiple levels with a customer from developers and architects to infrastructure and operations teams, to strategic executives and C-level management.

• Experience with a digital transformation effort as part of sales, consulting or as a customer.

• Strong understanding of AI market opportunities, the competitive landscape and deep technical expertise in AI solutions and related technologies, trends, and concepts.

• Bachelor's degree (or US foreign equivalent) in computer information systems, computer science or related field.

• Willingness to travel up to 50% of the time, following Red Hat’s established travel and expense policies.

The salary range for this position is $258,130.00 - $438,710.00 (inclusive of base pay + target incentive compensation). Actual offer will be based on your qualifications.

Pay Transparency

Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat’s compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience. 

About Red Hat

Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully