Role Description Lead delivery of AI and intelligent automation solutions across prioritized use cases, owning execution, technical quality, architecture integrity, release readiness, delivery scope, timelines, success criteria, risks, dependencies, and technical trade-offs to ensure successful outcomes. - Translate business problems into AI designs, user stories, technical specifications, and IT design specifications using systems thinking, workflow analysis, user journey analysis, and structured problem decomposition. - Lead iterative prototyping, pilot development, and rapid experimentation to validate solution hypotheses, while ensuring every pilot is designed with a clear and practical path to scalable, maintainable, enterprise-grade production deployment. - Provide solution architecture leadership across AI and agent-based patterns, including retrieval-augmented generation, orchestration, copilots, integrations, data flows, and cloud or platform alignment to ensure solutions are scalable, secure, compliant, interoperable, and maintainable. - Guide teams in building production-ready AI and automation solutions by supporting API integrations, data pipelines, transformations, workflow orchestration, deployment practices, and engineering standards for performance, reliability, and monitoring. - Ensure required EARB and AIRB approvals are obtained and validate solution quality by reviewing test cases, confirming control adherence, supporting governance and compliance requirements, and establishing appropriate operational monitoring. - Partner with product, architecture, security, data governance, engineering, and operations teams to align requirements, maintain delivery transparency, manage dependencies, and support structured transition to production support and ongoing operations. - Responsible for key deliverables, including technical specifications, AI solution designs, user stories, IT Design Specification, test case reviews, EARB and AIRB submissions, architecture documentation, implementation artifacts, operational guides, and knowledge transfer materials. Qualifications - Bachelor's Degree - At least 10 years of experience in technology delivery and solution implementation - Generative AI, large language models, machine learning, and agentic architecture patterns such as retrieval-augmented generation, orchestration, and copilots. - Intelligent automation, enterprise integration patterns - AI governance, security and compliance frameworks - Enterprise architecture principles, and production delivery practices in regulated or controlled environments. - Strong solution architecture capability across AI, data, cloud, and enterprise systems, with the ability to translate business problems into implementable solution designs, user stories, and technical specifications. - Proven delivery leadership, prototyping and pilot-to-production execution, stakeholder communication, governance coordination, test case review, control validation. - Strong engineering oversight for APIs, data pipelines, deployment, monitoring, and operational readiness. - Ability to operate across problem framing, solution design, architecture leadership, governance, and end-to-end delivery execution in ambiguous environments. - Ability to balance rapid experimentation with enterprise-grade rigor, influence matrixed teams, drive clarity and accountability, and ensure solutions are scalable, secure, maintainable, and ready for production support. Requirements - This is a remote position based in the United States. Relocation is not available. Benefits - Comprehensive benefits to support physical, mental, and financial well-being. - Competitive compensation package determined by performance, experience, skills, equity, regular job market evaluations, and geographical markets. - Other compensation, such as an annual bonus or long-term incentive opportunities may be offered.

Role Description Lead delivery of AI and intelligent automation solutions across prioritized use cases, owning execution, technical quality, architecture integrity, release readiness, delivery scope, timelines, success criteria, risks, dependencies, and technical trade-offs to ensure successful outcomes. - Translate business problems into AI designs, user stories, technical specifications, and IT design specifications using systems thinking, workflow analysis, user journey analysis, and structured problem decomposition. - Lead iterative prototyping, pilot development, and rapid experimentation to validate solution hypotheses, while ensuring every pilot is designed with a clear and practical path to scalable, maintainable, enterprise-grade production deployment. - Provide solution architecture leadership across AI and agent-based patterns, including retrieval-augmented generation, orchestration, copilots, integrations, data flows, and cloud or platform alignment to ensure solutions are scalable, secure, compliant, interoperable, and maintainable. - Guide teams in building production-ready AI and automation solutions by supporting API integrations, data pipelines, transformations, workflow orchestration, deployment practices, and engineering standards for performance, reliability, and monitoring. - Ensure required EARB and AIRB approvals are obtained and validate solution quality by reviewing test cases, confirming control adherence, supporting governance and compliance requirements, and establishing appropriate operational monitoring. - Partner with product, architecture, security, data governance, engineering, and operations teams to align requirements, maintain delivery transparency, manage dependencies, and support structured transition to production support and ongoing operations. - Responsible for key deliverables, including technical specifications, AI solution designs, user stories, IT Design Specification, test case reviews, EARB and AIRB submissions, architecture documentation, implementation artifacts, operational guides, and knowledge transfer materials. Qualifications - Bachelor's Degree - At least 10 years of experience in technology delivery and solution implementation - Generative AI, large language models, machine learning, and agentic architecture patterns such as retrieval-augmented generation, orchestration, and copilots. - Intelligent automation, enterprise integration patterns - AI governance, security and compliance frameworks - Enterprise architecture principles, and production delivery practices in regulated or controlled environments. - Strong solution architecture capability across AI, data, cloud, and enterprise systems, with the ability to translate business problems into implementable solution designs, user stories, and technical specifications. - Proven delivery leadership, prototyping and pilot-to-production execution, stakeholder communication, governance coordination, test case review, control validation. - Strong engineering oversight for APIs, data pipelines, deployment, monitoring, and operational readiness. - Ability to operate across problem framing, solution design, architecture leadership, governance, and end-to-end delivery execution in ambiguous environments. - Ability to balance rapid experimentation with enterprise-grade rigor, influence matrixed teams, drive clarity and accountability, and ensure solutions are scalable, secure, maintainable, and ready for production support. Requirements - This is a remote position based in the United States. Relocation is not available. Benefits - Comprehensive benefits to support physical, mental, and financial well-being. - Competitive compensation package determined by performance, experience, skills, equity, regular job market evaluations, and geographical markets. - Other compensation, such as an annual bonus or long-term incentive opportunities may be offered.

• Deliver technical product presentations & demonstrations. • Configure product installations and customisations in a POV engagement • Collaborate with the Product Management team as a liaison for key accounts and their technical product requirements. • Provide informal training to the Sales team on CrowdStrike technology and support for technical sales and competitive messaging. • Work as a Trusted Advisor within our prospects and customers in order to gain mind-share and ensure project success.

About Zscaler Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability. We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity. We are looking for a Senior Sales Engineer to join our team located in either New York City or New Jersey. This role will report to the Sales Engineering Manager for the Americas Field Sales team. You will be responsible for architecting technical solutions that directly address and resolve critical customer pain points. What you’ll do (Role Expectations) - Overseeing the technical sales process - Running Proof of Value from start to finish, as the technical and industry expert - Collaborating and supporting internal Zscaler teams Who You Are (Success Profile) - You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution. - You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact. - You are customer-obsessed. You build deep empathy for the customer—both internal and external—and anchor your decisions in solving their real-world problems. You champion their needs from start to finish, knowing their success is our success. - You champion simplicity. You are skilled at distilling complex problems, user needs, and technical concepts into clear, simple, and actionable plans. You are a precise communicator who brings clarity and focus to every interaction. - You are resilient and adaptable. You view change as an opportunity and setbacks as temporary. You maintain composure and focus in high-pressure situations, guiding yourself and your team through complexity with a steady, positive hand. What We’re Looking for (Minimum Qualifications) - Bachelor's Degree or equivalent experience - 5 to 8+ years of experience as a Sales Engineer or Systems integrator - Knowledge of network security technologies What Will Make You Stand Out (Preferred Qualifications) - Industry certifications including CCNP, JNCIP, PCNSA , CISSP, or CCSP - Experience working with large enterprise and major accounts #LI-remote #LI-CW1 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. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $154,875—$221,250 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: - Various health plans - Time off plans for vacation and sick time - Parental leave options - Retirement options - Education reimbursement - In-office perks, and more! Learn more about Zscaler’s Future of Work strategy, hybrid working model, and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.