Director, Business Development – AI Partnerships

Job not on LinkedIn

🔥 2 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

💰 Business Development (BDR)

🦅 H1B Visa Sponsor

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Logo of VAST Data

VAST Data

501 - 1000 employees

🤖 Artificial Intelligence

💰 $83M Series D on 2021-05

Artificial Intelligence

VAST Data is the data platform company for the AI era, focused on delivering scalable performance and simple data management to enhance productivity for workload-intensive applications. Founded in 2019, it has become the fastest-selling data infrastructure startup in history, specializing in cloud storage, data storage, flash storage, and universal storage. VAST particularly targets innovations in deep learning, all flash, QLC flash, and NVMe technologies, making it a vital player in the data center architecture and storage solutions market.

📋 Description

• Own VAST's business development strategy across the emerging AI inference and accelerator ecosystem • Build strategic relationships with emerging AI compute, semiconductor, and accelerator companies • Develop joint strategies across alternative accelerators, CPUs, GPUs, and purpose-built AI architectures • Understand partner technologies and determine their fit within the broader AI infrastructure stack and VAST's complementary role • Define the technical and business value proposition for strategic partnerships • Translate technical alignment into joint solutions, reference architectures, enterprise use cases, and repeatable GTM motions • Build joint account strategies and co-selling motions • Connect VAST's sales, solutions, product, and engineering organizations with partner counterparts • Lead partnerships from early conversations and technical exploration through joint solution development and field execution • Evaluate the changing market and help determine VAST's strategic investments

🎯 Requirements

• Significant experience across business development, strategic partnerships, product management, solutions, or ecosystem development within AI infrastructure, semiconductors, cloud, or enterprise infrastructure • Strong understanding of the roles that CPUs, GPUs, AI accelerators, storage, networking, and cloud infrastructure play within modern AI architectures • Enough technical depth to engage credibly with engineers, architects, product executives, and technical founders • Ability to assess emerging technologies, ecosystem fit, complementary capabilities, and go-to-market potential • Demonstrated ability to develop joint solutions and GTM strategies across multiple organizations • Strong commercial instincts and ability to connect technical capabilities to enterprise use cases and revenue opportunities • Experience working across Product, Engineering, Sales, Marketing, and partner organizations • Comfort working with large technology companies and highly technical, fast-moving startups • Comfort operating without a playbook and creating structure in emerging markets

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