• Lead architectural design and technical strategy for large-scale digital services and enterprise data platforms • Architect modern data warehouse and analytics platforms supporting large, complex datasets • Provide technical leadership across engineering teams to ensure scalable, secure, and maintainable system architectures • Guide the development of cloud-native architectures using modern infrastructure and platform services • Translate business and mission needs into architectural patterns and technical implementation strategies • Lead the architecture of large data warehouse solutions, including ingestion, transformation, storage, and analytics layers • Organize and guide the technical execution of Agile Analytics initiatives • Mentor engineers and architects across teams to promote best practices in software engineering, data architecture, and cloud development • Collaborate with product managers, program managers, and stakeholders to align architecture with mission outcomes • Ensure adherence to security, privacy, and compliance standards across all solutions • Evaluate emerging technologies and recommend tools that improve platform capabilities and delivery efficiency • Support proposal development, technical strategy, and solutioning for new initiatives

• Join our SecOps team in a remote role • Report to the Director of Sales Engineering in the Security Operations GTM department • Work closely with Sales, Customer Success, and Technology Partnerships to drive secure digital futures • Leverage experience to demonstrate Zscaler cloud transformation capabilities

• Provide technical expertise and guidance throughout the customer lifecycle, from pre-sales to post-implementation. • Design and propose technical solutions that meet customer needs and align with product capabilities. • Collaborate with Sales and Customer Success teams to understand business requirements and translate them into technical specifications. • Lead technical workshops and presentations for customers. • Create and maintain technical documentation, including solution architecture diagrams and implementation plans. • Serve as the technical bridge between customers and our engineering teams. • Lead complex product deployments and integrations. • Identify potential technical risks and develop mitigation strategies. • Serve as the voice of the customer by surfacing insights and advocating for product improvements that drive client value.

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Role Decagon is looking for a Strategic Solutions Engineer, a foundational technical hire who will help shape the future of our AI-powered solutions in the enterprise space. This role sits at the intersection of pre-sales engineering, product strategy, and enterprise architecture. You will serve as a technical advisor and trusted consultant to enterprise prospects and customers, driving value-based solutioning and integration of Decagon’s AI-native platform into complex customer ecosystems. Your background looks something like this - 4-6 years of customer facing experience in a sales engineering (pre-sales) role - Partner with Account Executives to discover and qualify solutions that lead to strong return on investment for your customer - Create and architect generative AI experiences for our customer’s end users - Develop custom demonstrations using the Decagon platform tailored to a customer’s specific needs and value - Communicate complex technical concepts clearly to diverse stakeholders, including C-level decision makers, business users, and engineering stakeholders - Strong interpersonal and teamwork skills - Functional understanding of GTM systems and workflows Even better if you have - 2+ years of AI sales engineering experience - Experience in a high-growth startup environment Benefits - Medical, dental, and vision benefits - Take what you need vacation policy - Daily lunches, dinners and snacks in the office to keep you at your best