At Zendesk, our mission is to simplify the complexity of business and make it easy for companies and customers to create connections. We build software that empowers organizations to deliver champion customer experiences, and with our recent landmark acquisition of Forethought in March 2026, we are driving the agentic service era forward. Together, we deploy the world’s most advanced self-improving AI agents—enterprise-ready and built natively to deliver definitive customer resolutions and scalable business impact.
As a Platform Architect for Forethought AI, you will sit at the crossroads of technical strategy and enterprise customer transformation. You will partner closely with Enterprise Account Executives and prospective customers to architect sophisticated, multi-step workflow automations and voice capabilities. This high-impact role gives you the autonomy to resolve a wide range of complex integration issues in creative ways , directly influencing our product roadmap while proving the quantifiable business value of generative AI to the world's top brands.
Technical Sales Command: Serve as the primary pre-sales technical leader and subject matter expert, guiding technical relationships between clients, sales teams, and core Product/Engineering teams.
Solution Architecture & Prototyping: Lead deep-dive discovery and scoping sessions to assess client needs; create detailed technical design specifications and build rapid-prototype mini-applications to demonstrate platform feasibility.
Customized AI Storytelling: Design, configure, and deliver high-impact platform demonstrations that seamlessly articulate complex technical workflows into clear business narratives for executive stakeholders.
Own the PoV Lifecycle: Scope, configure, and lead customers through rigorous Proof of Value (PoV) trials with minimal supervision, meticulously managing evaluations against defined success metrics.
Integration Subject Matter Expertise: Provide advanced guidance on Zendesk’s platform architecture, integration capabilities (APIs, webhooks), and cloud ecosystem patterns (AWS and cloud technologies).
Strategic AI Consultation: Act as a trusted advisor to evaluate existing customer service operations and advise clients on generative AI best practices to optimize efficiency, scale, and long-term customer satisfaction.
Scoping to SOW Ownership: Translate validated technical solution scoping, dependencies, and architecture requirements directly into Statements of Work (SOW), ensuring a flawless handover to Post-Sales Implementation teams.
Enterprise Pre-Sales Acumen: A proven track record in a high-touch, client-facing technical role (e.g., Solutions Engineer, Sales Engineer, or Technical Consultant) navigating complex, multi-stakeholder enterprise sales cycles.
Technical Architecture Depth: Solid understanding of modern web architectures, data flows, and integrating corporate systems via standard web technologies and APIs (REST, GraphQL, etc.).
AI/ML Fluency: Strong conceptual and practical familiarity with core AI, Machine Learning, and Natural Language Processing (NLP) concepts, including enterprise deployment of Large Language Models (LLMs).
Collaborative Execution: Exceptional communication skills with the ability to build formal internal and external networks, translating deep technical capabilities into quantifiable business value for C-level executives.
Startup Agility with Enterprise Scale: Ability to independently prioritize and manage multiple complex accounts simultaneously in a fast-paced environment with a high degree of resourcefulness.
Domain Expertise: Familiarity with foundational Helpdesk, CRM, or CX technology ecosystems (e.g., Zendesk, Salesforce Service Cloud, ServiceNow, or Genesys).
Minimum of 5 to 8 years of related professional experience in pre-sales engineering, technical consulting, or enterprise architecture within the Software/SaaS industry.
Hands-on experience working with programming or scripting languages (e.g., Python, JavaScript) and web technologies (HTML) for prototyping and data parsing.
Extensive experience designing integrations on AWS or equivalent major cloud infrastructure frameworks.
Formal certification or deep operational experience utilizing strategic enterprise sales frameworks (such as MEDDPICC).
Deep domain expertise in customer support operations, contact center architectures, or modern automation/bot platforms.