Director of Data and AI Partnerships

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Requirements:

• 7+ years in sales, business development, product management, or a related field, with a focus on AI data sales, AI partnerships, or data-driven business models.
• Proven track record of building new revenue streams for high growth, SaaS software companies.
• Strong understanding of artificial intelligence and machine learning concepts, particularly as they relate to data training.
• Experience launching new products and leading go-to-market efforts.
• Experience in transitioning one-time sales into recurring revenue models.
• Proven leadership in initiating and managing large-scale partnerships or sales efforts.
• Strong presentation skills, with the ability to convey technical and business concepts effectively to diverse audiences.
• Bachelor’s degree in Computer Science, Engineering, Business, or a related field. MBA or advanced degree is a plus.

Responsibilities:

• Develop and implement a strategy to sell HackerRank’s developer skills data, transitioning it into a recurring revenue stream.
• Create and execute go-to-market strategies, defining pricing, positioning, and value propositions for data offerings.
• Build and cultivate relationships with companies in the AI and technology sectors, identifying opportunities to leverage our data for AI model training and other use cases.
• Lead and close complex, high-value data deals, working directly with clients to showcase the value of HackerRank.
• In partnership with the product and engineering teams, lead the launch of data products, coordinating successful rollouts and impactful market entry.
• Stay informed about trends in AI, data monetization, and the developer community to identify and capitalize on new opportunities.
• Design, test, and optimize commercial models for data sales, with a focus on building sustainable revenue streams.
• Deliver compelling presentations to internal and external stakeholders, showcasing strong people skills to inspire, persuade, and influence outcomes.
• Establish processes and systems for scalable data sales operations, including legal, compliance, and data delivery mechanisms.