Zendesk

Solutions Engineer

• Act as the key technical expert during the pre-sales process
• Work with the Contact Center Platform Architecture team and potential customers to design and scope customized solutions
• Lead pre-sales technical scoping and provide technical support to the sales team
• Analyze customer requirements and recommend effective use of Zendesk products and services
• Create professional services estimates and proposals for new customer solutions
• Explain complex technical concepts to technical teams and executive-level decision-makers
• Maintain deep technical expertise across Zendesk's Contact Center product suite
• Lead technical discussions and provide expert recommendations
• Partner with Professional Services to transition from sales to project delivery

Solutions Architect, AWS Connect – CCaaS

SEO Marketing

• Execute and contribute to SEO and AEO strategy across Germany, the UK, ANZ, and select Tier 2 markets
• Track visibility, traffic, MQLs, and pipeline influence
• Develop market-specific recommendations based on search demand, customer intent, competitive dynamics, business priorities, and emerging AI-discovery behavior
• Lead German-language organic work, including keyword and intent analysis, SERP and competitive analysis, content opportunities, and localized content quality evaluation
• Identify and prioritize content opportunities with Content, Localization, Regional Marketing, and Product Marketing
• Plan and execute SEO/AEO experiments, document learnings, and scale successful approaches
• Maintain technical SEO health, including crawling, rendering, indexing, internal linking, site architecture, structured data, Core Web Vitals, and discoverability
• Conduct technical audits and partner with Web and Engineering through implementation and QA
• Assess SEO and AI-discovery implications of page launches, site changes, localization, JavaScript/rendering, and structured data
• Develop and improve AI-powered automations and agentic workflows for research, content optimization, localization, technical analysis, QA, monitoring, and reporting
• Analyze performance using GA4, Google Search Console, Snowflake, SEO tools, and AEO platforms such as Profound
• Measure traditional search and AI-powered discovery performance, including visibility, citation share, retrieval, recommendation share, and competitive movement
• Connect organic performance to business outcomes and translate data into priorities and recommendations
• Collaborate across Content, Web, Engineering, Product Marketing, Analytics, Localization, Regional Marketing, and Paid Media
• Communicate SEO, technical, and AEO insights and influence roadmap priorities through data-driven recommendations

Senior SEO Specialist

• Execute and contribute to SEO and AEO strategy across Germany, the UK, ANZ, and select Tier 2 markets
• Track visibility, traffic, MQLs, and pipeline influence
• Develop market-specific recommendations based on search demand, customer intent, competitive dynamics, business priorities, and AI-discovery behavior
• Lead German-language organic work, including keyword and intent analysis, SERP and competitive analysis, content opportunities, and localized content quality evaluation
• Identify and prioritize content opportunities with Content, Localization, Regional Marketing, and Product Marketing
• Plan and execute SEO/AEO experiments, document learnings, and scale successful approaches
• Maintain technical SEO health, including crawling, rendering, indexing, internal linking, site architecture, structured data, Core Web Vitals, and discoverability
• Conduct technical audits and partner with Web and Engineering through implementation and QA
• Assess SEO and AI-discovery implications of page launches, site changes, localization, JavaScript/rendering, and structured data
• Develop AI-powered automations and agentic workflows for research, content optimization, localization, technical analysis, QA, monitoring, and reporting
• Analyze performance using GA4, Google Search Console, Snowflake, SEO tools, and AEO platforms such as Profound
• Measure traditional search and AI-powered discovery performance
• Connect organic performance to business outcomes and translate data into priorities and recommendations
• Collaborate with Content, Web, Engineering, Product Marketing, Analytics, Localization, Regional Marketing, and Paid Media
• Communicate SEO, technical, and AEO insights and influence roadmap priorities

Sales Engineer

• Own the technical execution and delivery of customized product demonstrations, technical sandboxes, and tailored prototypes
• Develop production-ready proof-of-concepts demonstrating Zendesk’s platform and AI capabilities
• Build and maintain API integrations connecting Zendesk to complex client technology stacks
• Use REST APIs, webhooks, middleware platforms, and modern cloud infrastructure
• Partner with account teams on technical validations, security and architecture questionnaires, and developer-to-developer technical reviews
• Build, maintain, and document reusable code snippets, demo accelerators, and automation templates
• Continuously develop skills in large language models, prompt engineering, and autonomous agent frameworks
• Work closely with customers, developers, account teams, and senior specialists to translate technical possibilities into functional solutions

Data Engineer

• Develop, test, and deploy AWS Lambda functions primarily in Python for serverless, event-driven data engineering workflows and authentication processes
• Build and maintain RESTful and GraphQL APIs using AWS API Gateway and related services
• Customize AWS Cognito user pools through Lambda triggers for authentication workflows, MFA, and token management
• Develop responsive React.js frontends for onboarding, authentication, and data presentation
• Implement scalable data engineering pipelines integrating external APIs, webhooks, and event streams
• Collaborate with architecture and DevOps teams on Infrastructure as Code using Terraform and CloudFormation
• Write secure, reusable IaC code provisioning Lambda, API Gateway, Cognito, databases, caches, and queues
• Participate in CI/CD pipeline configuration for automated infrastructure and application deployments
• Ensure code follows security best practices, including encryption, PII protection, and audit logging
• Integrate Amazon Connect and other cloud contact center services with backend systems
• Participate in Agile processes, including code reviews and sprint planning
• Troubleshoot, debug, and optimize applications for performance and availability

Staff Software Engineer – Identity & Data Engineering Focus

Artificial Intelligence

• Own and achieve sales quotas within a defined Zendesk territory
• Collaborate with the core sales team on strategic plans for existing accounts and new business
• Build and nurture customer relationships using value-based selling
• Lead and support approved AI proofs of concept
• Identify expansion and cross-sell opportunities with AI and core Success teams
• Construct commercial models and advise on usage requirements and forecasted automation rates
• Act as a subject matter expert for AI solutions
• Own enablement initiatives across an assigned territory
• Communicate product updates, sales plays and market insights to Core AEs
• Support deal pursuit teams with sales, industry, product and communication expertise
• Build and present tailored AI product demos

Solutions Architect, AWS Connect – CCaaS

Senior SEO Specialist

Senior SEO Specialist

Sales Engineer

Staff Software Engineer – Identity & Data Engineering Focus

Senior AI Sales Specialist – Spanish Speaker