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 Manager, Sales Engineering - Federal DoW to join our team. This is a Remote (DC Metro Area) role, reporting to the Federal Sales Engineering Director in the Zscaler Public Sector department. The Senior Manager, Sales Engineering - Federal DoW provides direction and specialist knowledge to Sales Engineers supporting Federal Agencies and their missions. Working in close partnership with the Sales leadership, this role directs Sales Engineering resources through the entire sales cycle while delivering technical and functional leadership. You will play an instrumental role in account planning and strategy, serve as a key advisor to customers for long-term success, and actively develop team capability through coaching and high-impact execution.

What you’ll do (Role Expectations)

Drive increased execution on building technical champions across our customer base

Lead the recruiting, training, and ongoing development of top engineering talent on the team

Manage up to 8 individual contributors while driving technical wins across the federal customer base

Who You Are (Success Profile)

You thrive in ambiguity, navigating dynamic environments comfortably and turning unstructured challenges into meaningful solutions.

You act like an owner, leveraging your passion for the mission to fuel action, operate with integrity, and move seamlessly between strategy and execution.

You are a high-trust collaborator, building team success through open feedback, respectful candor, and a relentless focus on mutual trust.

You operate with urgency, combining speed and high quality to deliver rapid, high-impact results for both the customer and the team.

You lead with integrity, holding yourself and others accountable while matching your words with consistent, transparent action.

What We’re Looking for (Minimum Qualifications)

Demonstrated curiosity and active exploration of AI tools, with a proven history of integrating new technologies to enhance daily workflows and augment problem-solving

Experience selling to and working with Federal Agencies

Requirement to reside within 2–3 hours of the Washington, D.C. metropolitan area

Demonstrated experience managing a high-performing team of engineers

U.S. citizenship required

What Will Make You Stand Out (Preferred Qualifications)

Active AI-forward certifications or experience with platforms such as Amazon Bedrock, OpenAI, or Claude

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.

Technical expertise in networking and proxy-based architectures

Active U.S. Government security clearance

#LI-CW1 #Remote

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.