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AI Strategists play a critical role at Hebbia: you will be responsible for the strategic value creation and deployment of Hebbia with our partners, shaping the world of AI in enterprise. We’re looking for ambitious and highly skilled individuals who deeply understand public equities investing workflows and can lead enterprise engagements with ambitious customers. AI Strategists will be the voice of the customer – understanding explicit and implicit business needs across a multitude of verticals and working with the Product team to inform requirements. A strong candidate requires strategic thinking as we write the value creation and deployment playbook on AI for serious work.
Job Responsibility:
Customer-centricity: Deeply understand what makes an investment opportunity attractive to public equities investors and knowledge of their workflows for researching and executing their investment decisions – creatively engage with users to get the most out of Hebbia
Relationship orientation: Build strong relationships (including at the executive level of large asset managers) and serve as a trusted advisor and go-to leader in AI
Structured approach: Tackle ambiguous, complex customer and product questions - bringing together a deep understanding of user needs and technical capabilities
Define roadmap: Shape the future of the product - bring the voice of the customer to our product and engineering teams and strategically advise on the product roadmap
Grow our team: Help to build the Engagement team - with potential opportunity to manage a dedicated team in the near future
Requirements:
2-6+ years of total work experience
At least 2 years in front-office public equity roles: equity research, public equities investing (mutual funds, hedge funds, family offices, or endowments/foundations)
Direct public equities investment experience
A passion for shaping the future of AI
Experience in high stakes, client-facing roles
An entrepreneurial mindset or direct experience in early stage startups
Excellent relationship management skills with senior-level stakeholders
Strong ownership mindset
Distinctive analytical and problem solving capabilities
Innate bias towards action and impact
Nice to have:
Combination of direct public equities investment experience and one or more of the following: A passion for shaping the future of AI
Experience in high stakes, client-facing roles
An entrepreneurial mindset or direct experience in early stage startups
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