Zscaler
Principal Sales Engineer - Healthcare
$195K–$244K
Remote - USA · Remote · Principal · Full-time · Posted Apr 28, 2026
- Experience
- 7+ years in enterprise cybersecurity selling; 3+ years within the partner ecosystem and channel. Preferred: 5+ years in a vendor-side Principal or Architect-level role.
About the job
Serves as the senior technical authority for healthcare sales, leading complex customer engagements and advising on Zero Trust architectures, AI adoption, and healthcare security needs.
What you'll do
- Lead complex sales engagements and Proof of Values, resolving technical objections and presenting transformative architectures.
- Engage customer executives and create reference architectures and thought leadership; represent Zscaler at industry events.
- Mentor healthcare Sales Engineers and lead enablement and advisory initiatives that inform internal operations and the product roadmap.
What they ask for
- 7+ years of enterprise cybersecurity selling experience in sales engineering, solutions engineering, or solutions architecture; 3+ years working within the partner ecosystem and channel.
- Demonstrated ability to act as a Consultative AI Advisor, including mapping manual workflows to agentic AI systems and managing expectations around non-deterministic outputs.
- Deep understanding of security, networking, authentication, wireless, SD-WAN, and Internet fundamentals.
- Demonstrated cross-departmental leadership and executive relationship management; able to combine strategic thinking with hands-on technical execution.
Nice to have
- Experience in data modeling and relational databases; deep expertise with healthcare EHR, PACS, and Workflow/Authentication technologies.
- Industry certifications such as CISSP, CCIE, CISM, ISACA, or CRISC; 5+ years in a vendor-side Principal or Architect-level role.
Pay
$195,000 — $243,750 USD (base salary)
Tools
Zero Trust, routers/switches, authentication, wireless, SD-WAN, AI/ML, EHR, PACS
AI focus
Advise customers on AI change management, mapping manual workflows to agentic AI and setting expectations for non-deterministic outputs; understand and position AI/ML solutions. Preferred use of coding assistants, LLMs, and Generative AI for technical work.
Model-written summary · the original posting is authoritative