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Zendesk

Associate Solutions Architect

Zendesk

. Partner with account executives and sales teams on discovery, qualification, solution strategy, and opportunity progression .

Posted 9/17/2026full-timeMexico City • MexicoJuniorMid-LevelWebsite

Tech Stack

Tools & technologies
Cloud

About the role

Key responsibilities & impact
  • Partner with account executives and sales teams on discovery, qualification, solution strategy, and opportunity progression
  • Support multiple opportunities through a pooled coverage model
  • Prioritize work based on customer impact, deal stage, complexity, and business urgency
  • Translate customer goals and operational challenges into solution concepts, use cases, value hypotheses, and recommended next steps
  • Deliver or support technical discovery sessions, product demonstrations, workshops, solution overviews, and proof-of-concept activities
  • Explain CX, automation, and AI capabilities in practical business terms, including use cases, limitations, risks, and adoption considerations
  • Create solution artifacts such as diagrams, capability maps, integration overviews, demo plans, discovery notes, and technical responses
  • Coordinate with product, engineering, security, services, customer success, and other internal teams to validate feasibility and implementation considerations
  • Capture reusable patterns, objections, FAQs, and lessons learned to improve SA enablement and team consistency
  • Use AI tools or AI-enabled products as a copilot to organize information, orchestrate tasks, summarize discovery, generate drafts, improve documentation, prepare demos, and accelerate follow-up
  • Apply human judgment to review and refine AI output and remain accountable for accuracy, customer context, and final deliverables
  • Communicate solution value, fit, and practical application to customers, escalating to experienced SAs or specialists when appropriate

Requirements

What you’ll need
  • Professional fluency in English is required; Portuguese (Brazil) or Spanish is a plus
  • Experience in a customer-facing technical role such as Solutions Architecture, Sales Engineering, Technical Consulting, Implementation, Customer Success Engineering, Support Engineering, or a related function
  • Strong written, verbal, and presentation skills
  • Ability to communicate clearly with executives, business users, and technical teams
  • Ability to manage multiple priorities and work across a shared queue or pooled model
  • Reliable follow-through
  • Structured problem-solving skills
  • Ability to connect customer requirements to a practical solution path
  • Experience collaborating cross-functionally in a fast-moving SaaS or technology organization
  • Willingness to work through ambiguity, seek feedback, and continuously improve technical and commercial skills
  • Junior-level technical foundation with ability to learn SaaS products, CX workflows, APIs, integrations, and solution patterns quickly
  • Familiarity with RESTful APIs, JSON, webhooks, authentication, SDKs, data flows, and common integration concepts
  • Ability to read technical documentation and basic architecture diagrams
  • Familiarity with customer support, CRM, contact center, digital engagement, messaging, analytics, workflow, or adjacent CX technologies is a plus
  • Preferred: experience supporting CX, CRM, customer service, contact center, digital engagement, or enterprise SaaS solutions
  • Preferred: experience with AI product adoption, prompt design, workflow automation, analytics, or responsible AI practices
  • Preferred: familiarity with cloud platforms, integration patterns, data modeling, security concepts, or technical discovery frameworks
  • Preferred: experience creating demos, technical enablement, reusable assets, or standardized sales processes

Benefits

Comp & perks
  • Hybrid way of working with flexibility to work remotely for part of the week
  • Inclusive workplace experience
  • Reasonable accommodations for applicants with disabilities and disabled veterans
  • Equal opportunity employment
  • AI or automated decision systems may be used to screen or evaluate applications in accordance with company guidelines and applicable law