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Zscaler is seeking a Senior Sales Engineer to join the Solutions Consulting team, reporting to the Senior Sales Engineering Manager. This hybrid-based UK role focuses on being a key technical driver in presenting the Zscaler Zero Trust Exchange cloud security platform to prospective customers and translating their business goals into compelling, relevant technical recommendations.
You will act as a trusted advisor, guiding clients through their digital transformation and security modernization journey while delivering measurable technical victories. Your responsibilities include presenting the Zscaler platform to enterprise prospects, gathering and analyzing customer technical requirements, developing proof-of-concept strategies, creating high-impact technical presentations and demonstrations, and promoting the value proposition through POVs and proof-of-concept engagements. You will partner closely with the sales team to identify customer pain points and architect solutions that address their security and operational challenges.
The role requires deep expertise in enterprise network and cloud security technologies, with the ability to translate complex technical concepts into business value. You will be expected to thrive in a dynamic, ambiguous environment, operating with ownership mentality and integrity. The ideal candidate is a problem-solver who loves tackling hard challenges, collaborates at high trust, and maintains a growth mindset with continuous learning orientation.
Zscaler is a NASDAQ-listed company (ZS) that operates the world's largest in-line cloud security platform, distributed across 200+ public data centers globally. The company is building an AI-native enterprise where human potential is amplified by machine intelligence to solve complex security challenges.
REQUIREMENTS:
- 8+ years of experience as a Sales Engineer or Systems Integrator
- Deep knowledge of enterprise network or cloud security technologies
- Proficiency with Value Selling Methodologies
- Proven experience partnering with sales to deliver high-impact presentations, demos, and proof-of-concept engagements
- Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions
PREFERRED QUALIFICATIONS:
- Demonstrated ability to leverage AI technologies and workflows to drive measurable operational efficiency
- Practical experience architecting or demonstrating AI-enhanced cybersecurity platforms, automated threat response tools, or machine learning-driven network analytics
- Cloud Platform certifications or relevant credentials such as CISSP or CCNP
- Subject matter expertise in SASE, Proxy technology, Cybersecurity, IPS, DLP, CASB, or CNAPP
