Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform.

We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler.

Role

We are looking for a Senior Sales Engineer to join our Majors Account team to help support the largest financial customers. This is an East role in NYC Metro, reporting to the Sales Engineering Manager in the Americas Field Sales department.

You will be responsible for architecting technical solutions that directly address and resolve critical customer pain points.

What you’ll do (Role Expectations)

Overseeing the technical sales process

Running Proof of Value from start to finish, as the technical and industry expert

Collaborating and supporting internal Zscaler teams

Who You Are (Success Profile)

You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.

You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.

You are customer-obsessed. You build deep empathy for the customer—both internal and external—and anchor your decisions in solving their real-world problems. You champion their needs from start to finish, knowing their success is our success.

You champion simplicity. You are skilled at distilling complex problems, user needs, and technical concepts into clear, simple, and actionable plans. You are a precise communicator who brings clarity and focus to every interaction.

You are resilient and adaptable. You view change as an opportunity and setbacks as temporary. You maintain composure and focus in high-pressure situations, guiding yourself and your team through complexity with a steady, positive hand.

What We’re Looking for (Minimum Qualifications)

Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain

Demonstrated ability to act as a Consultative AI Advisor, guiding customers through AI change management, including mapping manual business workflows to agentic AI systems and managing expectations around non-deterministic outputs

Bachelor's Degree or equivalent experience

5 to 8+ years of experience as a Sales Engineer or Systems integrator

Knowledge of network security technologies

What Will Make You Stand Out (Preferred Qualifications)

Demonstrate strong AI fluency by leveraging coding assistants, LLMs, and Generative AI tools to accelerate troubleshooting, solution design, automation, and customer problem-solving, while applying sound technical judgment to validate outputs.

Industry certifications including CCNP, JNCIP, PCNSA , CISSP, or CCSP

Experience working with large enterprise and major accounts

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Zscaler’s salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training.