Cybersecurity Solutions Architect

2 days ago


Kollam, Kerala, India beBeeAI Full time US$ 8,00,000 - US$ 15,00,000

We are seeking a highly skilled professional to support the go-to-market strategy and execution for our rapidly growing AI security solutions.

This individual will be responsible for defining and executing on our go-to-market strategy, focusing on accelerating customer adoption of our solutions for securing the creation and usage of AI applications. Key responsibilities include collaborating with cross-functional teams to drive pipeline generation, customer engagements and market penetration. Additionally, this role will support the development and execution of strategies to identify, qualify and convert a robust pipeline of potential customers for AI security solutions. This includes conducting thorough market research and competitive analysis to identify key market segments and opportunities. Furthermore, the successful candidate will lead customer-facing activities, including presentations, demonstrations and proof-of-value (POVs). They will also engage in technical conversations with customers regarding AI security challenges and solutions, including topics such as securing RAG models, prompts, vector databases, etc. Strong relationships with key customer stakeholders, including C-level executives, security and IT leaders, are crucial for success in this role. The ideal candidate will collaborate closely with sales, marketing, product management and engineering teams to ensure alignment and effective go-to-market execution.

Required Skills and Qualifications
  • 7+ years of technical professional experience including 3+ years of experience in AI and related fields, with a strong focus on technical sales, strategy and execution.
  • Proven track record of success contributing to high-performing technical sales or solution architecture teams.
  • Deep understanding of AI technologies, including machine learning, deep learning and generative AI.
  • Ideally, experienced with security solutions and the cybersecurity market, including data security, network security and security applied to generative AI.
  • Experience with popular generative AI tools and their security implications preferred.
  • Strong understanding of cloud computing platforms (e.g., AWS, Azure, GCP).
  • Ability to thrive in a fast-paced, dynamic environment and adapt to changing market conditions.


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