AI Consulting Solutions Engineer

Join the Future of Security at Netskope

Netskope (NASDAQ: NTSK) is a leader in modern security and networking for the cloud and AI era. We secure and accelerate cloud, data, and AI in real time, everywhere. Thousands of customers, including more than 30 of the Fortune 100, trust the Netskope One platform, its Zero Trust Engine, and the powerful NewEdge network to gain full visibility and control without performance trade-offs.

At Netskope, our technology is driven by our greatest strength: our people. We believe that belonging powers innovation, and success is both personal and organizational. We embrace differences in gender, ethnicity, beliefs, ability, and identity, creating an environment where every voice is heard and respected. We empower our employees to bring their authentic selves to work, grow their careers through continuous education and mentorship, and lead with transparency and curiosity. Join a team where you belong, where you are encouraged to be an entrepreneur, and where together, we continue to redefine the landscape of security.

Visit Careers at Netskope to learn more. Follow us on LinkedIn and Instagram.

About the Role:

As a founding member of the AI Consulting Solutions Engineering team, you will be working very closely with our GTM operations to drive forward the adoption and ultimately sales of Netskope's  market leading AI Security portfolio of products. 

Responsibilities: 

Pre-Sale & Sales Activities:

• Assist the sales teams on technical discovery and positioning of Netskope AI Security portfolio of products with customers and prospects 
• Prepare, initiate and execute POV’s (Proof of Value) with the aim of achieving technical win and ultimately winning the business. 
• Work with the account teams to create a vision for prospects and customers that aligns with the overall Netskope vision but 
• Help create a strategic vision for customers based on deep understanding of their AI strategy, expectations and required capabilities.
• Work with existing customers to understand efficacy and operational improvements that can be implemented

Evangelize the technology internally and externally:

• Enable the field on how to engage, qualify and position the portfolio through presentations, creation of assets and documentation 
• Help create labs and other forms of enablement for the Systems Engineering team so they can engage and confidently present AI solutions to customers and prospects