Zscaler
Commercial Sales Engineer - East
$105K–$150K
Remote - Massachusetts, USA +7 · Remote · Full-time · Posted Oct 21, 2026
- Location
- Remote - Massachusetts, USA
Remote - New Jersey, USA
Remote - New York, USA
Remote - Virginia, USA
Remote - Massachusetts, USA
Remote - New Jersey, USA
Remote - New York, USA
Remote - Virginia, USA - Experience
- 2+ years as a Sales Engineer or Network Systems integrator.
- Education
- Bachelor’s degree in Computer Science or a related field, or equivalent working experience.
About the job
Supports prospective customers through technical presentations, requirements gathering, product evaluations, custom configurations, and evaluation test plans for Zscaler’s cloud security solutions.
What you'll do
- Create and deliver technical product presentations to prospective customers.
- Gather customer technical requirements and lead product evaluations and custom configurations.
- Design evaluation test plans with customers and guide evaluations toward successful outcomes.
What they ask for
- Demonstrated curiosity and active exploration of AI tools, with a history of integrating new technologies into daily workflows.
- Cybersecurity and networking background with hands-on experience in TCP/IP, DNS, routing, VPN, and firewalls.
- At least 2 years of experience as a Sales Engineer or Network Systems integrator.
- Bachelor’s degree in Computer Science or a related field, or equivalent working experience; foundational AI/ML understanding and experience leveraging, securing, or positioning AI-driven solutions.
Nice to have
- Technical certifications such as CCNA, Network+, CCNP, CCIE, or Security+.
- Experience closing deals in a quota-carrying role, running multiple POVs, or working with SMB or enterprise accounts in networking or cybersecurity.
Pay
$105,000 — $150,000 USD base salary
Tools
TCP/IP, DNS, routing, VPN, firewalls, AI/ML, LLMs, Generative AI
AI focus
Explore and integrate AI tools into workflows; understand AI/ML and leverage, secure, or position AI-driven solutions. Preferred AI fluency includes using coding assistants, LLMs, and Generative AI for troubleshooting, solution design, automation, and customer problem-solving.
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