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Handshake is expanding into AI research and development, building a world-class network of experts - PhDs, researchers, and subject matter specialists - who contribute to cutting-edge AI through specialized research, model evaluation, and domain-specific applications. We’re looking for a Senior Growth Marketer to engage, grow, and nurture this expert network, ensuring experts feel valued, motivated, and well-supported. This role is a unique opportunity to bridge academia and industry, shaping a new initiative at Handshake while collaborating with product, operations, and engineering teams to create a seamless and rewarding program experience.
Job Responsibility:
Develop and implement growth strategies to expand our AI research community of graduates
Create and execute multi-channel marketing campaigns, including content marketing, social media, email marketing, and paid marketing
Partner with internal teams to drive growth through targeted outreach, university partnerships, and academic collaborations
Optimize digital marketing strategies using A/B testing, analytics, and performance tracking
Manage and grow our presence on platforms such as LinkedIn, Twitter, and research-focused forums
Manage and optimize lifecycle marketing flows to nurture and retain community members throughout their engagement journey
Leverage SEO best practices to improve visibility and searchability
Requirements:
6+ years of experience in growth/performance marketing, preferably to technical or academic audiences
Strong understanding of digital marketing channels, including SEO and paid acquisition (e.g. LinkedIn, Meta, Google ads)
Efficiently managed at least a 7 figure budget across a minimum of 2 paid marketing channels (e.g. Meta and Google ads)
Proficiency in analytics tools such as Google Analytics and in SQL
Excellent written and verbal communication skills
Ability to work independently and thrive in a fast-paced, remote environment
Nice to have:
Passion for AI research and fostering academic communities is a plus
Familiarity with AI/ML workflows, data labeling, or model evaluation processes