Verified today
Senior Sales Engineer
About the role
Zendesk is seeking a Senior Sales Engineer to sit at the intersection of enterprise software strategy, hands-on systems architecture, and advanced AI automation. You will own the technical strategy for global customer engagements, acting as a strategic advisor to C-suite and engineering leadership while architecting Agentic AI workflows and LLM deployments. This hybrid role is based in Karnataka or Maharashtra, India, and requires 30-50% annual travel.
What you’ll do
- Architect Agentic AI & Integration Workflows: Design, build, and operationalize advanced, agentic AI-driven customer workflows leveraging Large Language Models (LLMs), deep prompt engineering, and mod
- Lead Technical Architecture Discovery: Conduct rigorous, deep-dive technical discovery and AI readiness assessments, translating complex system requirements into scalable pilots and proofs-of-concept
- Build Scalable Accelerators: Proactively develop production-ready, reusable technical accelerators, middleware templates, and open-source-aligned API components for regional teams and Systems Integrat
- Own the Technical Sales Lifecycle: Serve as the absolute technical authority from qualification through execution, architecting secure, scalable topologies leveraging Zendesk APIs, webhook frameworks,
- Bridge Product & Field Strategy: Partner directly with Product Management and Engineering to provide real-world, technical feedback from the field, identifying product gaps and shaping the future road
What you’ll bring
- Bachelor's degree in a related highly quantitative technical discipline
- 6+ years of hands-on experience in technical presales, solution engineering, or a system architect/developer role within enterprise SaaS or complex software environments
- Deep expertise with modern web and scripting technologies (e.g., Python, Node.js, JavaScript), REST/SOAP APIs, middleware frameworks, and cloud ecosystem architectures
- Strong foundational knowledge of AI technologies, including Large Language Models (LLMs), prompt engineering, retrieval-augmented generation (RAG), and autonomous agent deployment
- Solid understanding of enterprise infrastructure, contact center tech stacks (CCaaS, telephony, workforce management), or modern IT Service Management (ITSM) systems
- Ability and willingness to travel between 30% and 50% annually
- Physically located in and planning to work from Karnataka or Maharashtra, India
Nice to have
- A Master's degree or professional technical cloud/AI certifications
- Active engagement in the technical or developer community (e.g., open-source contributions, technical blogging, or community mentorship)
- Proven track record of designing reusable implementation guides, integration playbooks, or localization toolkits for global delivery partners and systems integrators
- Experience flattening complex technical narratives into high-impact presentations tailored for executive, economic buyers and C-level stakeholders
Skills
Education
Bachelor’s degree in a related highly quantitative technical discipline is required.