General Manager, C3 AI Defense and Intelligence job opportunity at C3 AI.



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C3 AI General Manager, C3 AI Defense and Intelligence
Experience: 12-years
Pattern: full-time
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Salary:
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Marketing

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degreeMBA
loacation Tysons, Virginia ; Redwood City, California, United States Of America
loacation Tysons, Virgin..........United States Of America

#C3 #AI is seeking a talented and experienced General Manager to lead our Defense and Intelligence #product offering. As a General Manager, you will lead business and product activities to develop and implement initiatives related to the offering. The role is located onsite in our Redwood City office. The C3 AI Defense and Intelligence Suite offers a range of interoperable next-generation AI applications that solve business problems across defense use cases, from contested logistics to commander’s dashboards to joint all-domain command and control. At present, C3 AI offers three highly differentiated workflow-driven applications that operated on a common data model comprised of a diverse collection of enterprise and external data sources: C3 AI Contested Logistics, C3 AI Commander’s Dashboard, C3 AI Decision Advantage. Candidates must possess a strong knowledge of defense applications and intelligence use cases, the defense technology ecosystem, and warfighter and logistician users. Prior experience with #analytics, #data #management, and AI technologies is highly desired. A strong work ethic, agility, hands-on approach, and the ability to work under pressure are essential. __ Responsibilities: Interact with customers and market thought leaders to develop a deep understanding, define product requirements, and best practices for an enterprise business problem. Synthesize research to set a strategic direction and priority for the C3 AI Defense and Intelligence product suite. Build and evaluate business cases to support product investment decisions. Develop innovative messaging, positioning, and marketing strategies with the ability to present to the CEO. Create, execute go-to-market plans for product launches and new releases. Work closely with corporate marketing to develop and execute campaigns. Produce strong externally facing content including thought leadership content, webinars, data sheets, solution guides, customer stories, demo videos, and more in partnership with marketing and creative teams. Create compelling and easy to understand internally facing content including sales training, competitive positioning, FAQs, and sales playbooks. Collaborate with engineering, data science, and other support teams such as user experience, QA, and documentation to create exceptional solutions. Work collaboratively with #Marketing, #Sales, Professional Services, and Support to promote the delivery of product features through training initiatives, documentation efforts, and customer / analyst demonstrations. Present with authority at industry conferences, panels, and customers and internal events. Effectively and proactively communicate with customers and build a trusted advisor relationship. __ Qualifications: Bachelor's degree required from a 4-year university, with a focus on science, technology, engineering, math, or similar. MBA is a plus. At least 12 years of experience delivering compelling new products to market. At least 8 years of experience with defense applications and implementations. US Military Veteran status (or active-duty Reserve) is a plus. 2-4 years of experience in data management, or AI solutions. Excellent verbal and written communication and presentation skills. Demonstrable domain expertise in messaging, positioning, content creation, sales collateral, go-to-market strategies, AI-based application development, or digital marketing and targeting. Experience managing and developing new product marketing programs with clear data-driven results. Experience managing and researching product positioning, competitive analysis, and product pricing. Ability to develop product strategy and execute against strategic plans. Experience collaborating effectively with sales, marketing, engineering, data science, and user experience to achieve results.
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