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Principal Lead, Go-To-Market AI Tools

Google · United States · Posted 2026-08-21

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Job description

Own the strategy and prioritization of ALCS Connect Sales needs - Research the AI ecosystem to incubate early needs and prioritize long-term ALCS requirements. Partner with executive leadership to discuss and shape global product roadmaps. Lead the ALCS activation strategy and select activation efforts - align AI tools with sales motions and deliver unified messages to thousands of sellers. Lead the team’s AI innovation agenda and campaigns - Define our POV within the AI landscape, establish GenAI use cases to transform ALCS workflows, and lead cross-cutting AI skill activation for sales teams. Lead special projects like researching an emerging technology or defining workflows for a new organization. Partner with the Manager to provide resources and coaching to help the team run smoothly continuously; raising the bar on our knowledge of GenAI tools ecosystem and deliver excellent activation. Minimum Qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in management consulting, sales operations, business strategy, investment banking, venture capital, private equity, or corporate advisory, or 6 years of experience with an advanced degree. Preferred Qualifications: Experience working on technology transformation projects, leading change management to define user workflows and use cases, and enable impactful adoption. Experience and expertise in GenAI enterprise implementations. Experience and fluency in digital marketing/advertising industry. Demonstrated product management experience, with ability to understand and shape digital product requirements, influence roadmaps, and partner with Engineering teams from conception through launch and land. Demonstrated success leading cross-functional initiatives from design through execution with many cross-functional partners. Excellent change management, communication and storytelling skills, with the ability to influence executive leaders and teams through dynamic, ambiguous programs.