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Build scalable backend systems, data pipelines, APIs, and services for Zscaler’s Threat Intelligence team. Process and index large volumes of threat data, improve performance and engineering practices, and collaborate with malware reverse engineering teams to enhance threat detection. The role requires Python, PostgreSQL, Redis, distributed systems, REST APIs, SQL optimization, and backend database expertise, with preferred experience in AI/LLM workflows, malware automation, Django, Kubernetes, and search engines.

Present Zscaler’s cloud security platform to prospective customers, translate technical goals into recommendations, gather requirements, and deliver presentations, demonstrations, proof-of-value engagements, and technical guidance. Partner with sales as a trusted advisor while supporting customer transformation initiatives. The role requires deep enterprise network or cloud security knowledge, value-selling expertise, AI/ML understanding, and experience with cybersecurity platforms and technologies such as SASE, DLP, CASB, and CNAPP.

Present Zscaler’s cloud security platform to prospective customers, translate technical goals into relevant recommendations, gather requirements, and deliver presentations, demonstrations, proof-of-concept engagements, and value propositions. Serve as a trusted technical advisor while partnering with sales to guide customers through security transformation initiatives.

Presents and demonstrates Zscaler’s cloud security platform to prospective enterprise customers. Gathers technical requirements, develops recommendations, delivers presentations and proofs of concept, and serves as a trusted technical advisor throughout customer transformation journeys. Collaborates with sales to qualify and scope opportunities using value-selling methodologies. Requires experience in sales engineering, enterprise networking or cloud security, AI/ML, and technologies such as SASE, DLP, CASB, and CNAPP.

Presents Zscaler’s cloud security platform to prospective customers, translates business and technical goals into recommendations, gathers requirements, and delivers presentations, demonstrations, proof-of-concept engagements, and value-based solutions. Acts as a trusted technical advisor throughout customers’ security transformation journeys while partnering closely with sales. Requires deep enterprise networking or cloud security knowledge, sales engineering experience, AI/ML familiarity, and expertise in technologies such as SASE, DLP, CASB, IPS, proxy, or CNAPP.

Lead a team of 10 Data Security Specialist Account Executives across EMEA and APJ. Responsibilities include recruiting and coaching sales talent, managing regional business plans and forecasts, collaborating with sales, marketing, product, services, and partners, and driving revenue attainment. The role requires software or security sales experience, data security leadership, regional management, C-level selling, and familiarity with AI/ML technologies.

Owns regional partner program strategy and execution, including roadmap development, program design, launches, adoption, performance improvement, and scalable global playbooks. Partners with channel, sales, and global program leaders to prioritize opportunities, develop partner offers, influence executives, resolve cross-functional issues, and deliver measurable business outcomes. The role requires expertise in partner ecosystems, routes to market, commercial models, AI-enabled tools, and complex B2B technology environments.

Present and demonstrate the Zscaler cloud security platform to prospective enterprise customers. Gather technical requirements, translate business goals into relevant recommendations, and act as a trusted technical advisor throughout customer transformation journeys. Collaborate with sales to qualify and scope opportunities, deliver presentations, demos, proof-of-concept engagements, and communicate the value of security, SASE, AI-driven, and cloud solutions.

Lead field-facing AI security strategy for enterprise customers by designing secure LLM/RAG architectures, delivering demos and POVs, advising on data protection and unsanctioned AI usage, and scaling enablement and product feedback across sales, product, and engineering teams.

Technical lead for high-value public-sector opportunities: define architecture, drive technical wins, advise executives, scale adoption, mentor sales engineers, influence product roadmap, and ensure compliance with UK public-sector security standards.