Zendesk is seeking a visionary and highly technical Regional Vice President of Sales Engineering to lead, scale, and inspire our APAC pre-sales team. As a key partner to regional sales leadership, you will bridge the gap between our AI-powered CX platform capabilities and enterprise business value. Responsibilities: Strategic Market Expansion: Partner with regional sales leadership to penetrate new enterprise markets and architect pre-sales blueprints for large-scale accounts. Drive Technical Win & Adoption: Establish rigorous pre-sales frameworks, PoC standards, and custom demo strategies to improve win rates and post-sale adoption. Team Leadership: Attract, hire, and mentor top-tier pre-sales talent, including managing front-line managers in a multi-tiered organization. AI Thought Leadership: Serve as a technical evangelist, delivering keynotes and leading executive briefings on Zendesk's AI and platform capabilities. Cross-Functional Collaboration: Provide feedback to Product and Engineering teams to influence the AI CX roadmap. Qualifications: Required: Bachelor’s degree in Computer Science, Engineering, or equivalent. 8+ years of experience managing pre-sales/sales engineering teams, including 3+ years managing people-managers in an enterprise SaaS environment. Deep expertise in the CX ecosystem (CRM, CCaaS, WEM). Strong understanding of enterprise architecture, cloud infrastructure (AWS), data privacy, and complex integrations. Foundational knowledge of Generative AI, LLMs, and machine learning applications. Proven track record of public speaking and executive presence. Preferred: Advanced degree or MBA. This is a hybrid role based in Singapore.
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A focused preparation guide, built around this job’s responsibilities and requirements.
✦ AI-generated guide
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01
Understand the role
What matters most
Strategic Market Expansion and Sales Alignment
The role requires partnering with regional sales leadership to penetrate new enterprise markets. You must demonstrate how you have previously architected pre-sales blueprints that directly contributed to capturing market share and increasing Average Contract Value (ACV) in complex enterprise environments.
Scaling Technical Win Frameworks
You are expected to establish rigorous standards for Proof of Concepts (PoCs) and custom demos. The priority is to move beyond ad-hoc pre-sales activities to a scalable framework that improves technical win rates and ensures seamless post-sale adoption for large-scale accounts.
AI Evangelism and Executive Presence
As a technical evangelist, you must translate complex AI, LLM, and machine learning concepts into clear business value for C-suite stakeholders. You should be prepared to discuss your experience in delivering keynotes or leading executive briefings that influenced high-stakes decision-making.
Leadership of Multi-Tiered Organizations
You must manage a multi-tiered team, specifically mentoring front-line managers. The focus is on cultivating a high-performance culture that balances technical excellence with consultative value selling across a diverse APAC region.
Likely challenges to think through
Bridging Technical Depth with Business Outcomes
A common challenge in this role is the tension between maintaining deep technical credibility in AI/CCaaS and the need to focus on commercial velocity. Prepare by articulating how you have successfully coached teams to avoid 'feature dumping' and instead focus on solving specific enterprise business problems.
Influencing Product Roadmaps from the Field
Acting as a feedback loop between the field and Product/Engineering teams can be difficult due to competing priorities. Be ready to discuss how you have historically managed these cross-functional relationships to ensure field requirements are prioritized without disrupting the core product strategy.
Managing Regional Complexity in APAC
The APAC market is highly diverse regarding data privacy, security compliance, and enterprise architecture standards. Prepare to discuss how you have navigated varying regulatory landscapes while maintaining a unified, high-standard pre-sales execution model.
03
Practice your answers
Technical practice
Architecting Enterprise Pre-Sales Blueprints
What to coverDescribe your methodology for creating a scalable pre-sales blueprint for large-scale enterprise accounts. Address how you balance standardized PoC processes with the need for custom demo strategies to meet unique client requirements.
Integrating Generative AI into CX Workflows
What to coverExplain how you would articulate the business value of LLMs and Generative AI within a customer service context. Suggestion: Focus on how these technologies reduce resolution times and improve agent productivity rather than just discussing the underlying models.
Managing Complex Integrations and Data Privacy
What to coverDiscuss your approach to overseeing technical teams handling complex integrations involving REST APIs and webhooks. Emphasize how you ensure these integrations maintain strict data privacy and security compliance standards.
Optimizing Technical Win Rates
What to coverWhat metrics and frameworks do you use to measure and improve technical win rates? Explain how you align your team's activities with sales leadership goals to accelerate sales velocity.
Influencing Product Roadmaps
What to coverDescribe your process for gathering and synthesizing field feedback to influence Product and Engineering teams. Provide an example of how you have successfully translated customer pain points into actionable product improvements.
CX Ecosystem Expertise
What to coverHow do you position a unified CX platform against fragmented legacy systems? Address your familiarity with the interplay between CRM, CCaaS, and WEM solutions in an enterprise architecture.
Cloud Infrastructure and Scalability
What to coverHow does your understanding of cloud infrastructure, specifically AWS, inform your pre-sales strategy for enterprise customers? Discuss the importance of reliability and scalability in the context of global CX deployments.
Behavioural practice
Leading Through Multi-Tiered Management
What to coverDescribe a situation where you had to mentor front-line managers to improve their leadership effectiveness. Focus on how you maintained high performance across your organization while scaling the team.
Executive Presence and Evangelism
What to coverProvide an example of a high-stakes executive briefing or keynote where you had to translate complex technical concepts into business outcomes. How did you adapt your communication style to resonate with C-suite stakeholders?
Cross-Functional Collaboration
What to coverTell me about a time you had to navigate a conflict between field sales requirements and product roadmap priorities. How did you reach a resolution that satisfied both the business needs and the technical constraints?
Building a High-Performance Culture
What to coverDescribe your strategy for attracting and retaining top-tier pre-sales talent in a competitive market. How do you foster a culture of consultative value selling within your team?
02
Sharpen your knowledge
Topics to prepare
Enterprise CX Ecosystem Architecture
Review the integration points between CRM, CCaaS, and WEM platforms. Exercise: Map out a hypothetical enterprise architecture where a legacy CRM integrates with a modern AI-powered CX platform via REST APIs and webhooks to improve customer service efficiency. This is relevant to the role's requirement to bridge technical capabilities with enterprise business value.
Generative AI and LLM Applications in CX
Study how LLMs are applied to automate customer support, sentiment analysis, and agent assistance. Exercise: Prepare a brief executive-level summary explaining the business ROI of implementing Generative AI in a contact center, focusing on time-to-value and operational cost reduction. This aligns with the need to serve as a technical evangelist for Zendesk's AI capabilities.
Multi-Tiered Pre-Sales Leadership
Research frameworks for managing managers in a high-growth SaaS environment. Exercise: Draft a strategy for scaling a pre-sales team, including how you would mentor front-line managers to improve technical win rates and PoC standards. This addresses the requirement for leading a multi-tiered organization.
Skills to revise
Executive Presence and Public Speaking
Practice translating complex technical concepts into high-level business outcomes. Exercise: Record a 5-minute pitch aimed at a C-suite executive that articulates the value of an AI-driven CX platform without relying on jargon. This is essential for the role's requirement to lead executive briefings and industry keynotes.
Strategic Pre-Sales Framework Design
Develop standardized processes for Proof of Concept (PoC) and pilot programs. Exercise: Create a template for a 'Technical Win' scorecard that measures success metrics for large-scale enterprise accounts. This directly supports the responsibility to establish rigorous pre-sales frameworks to improve win rates.
04
Your preparation checklist
Develop an AI-driven CX pre-sales framework
Create a high-level strategy document outlining how you would standardize PoC and pilot processes for enterprise CX platforms. Focus on how to measure technical win rates and accelerate time-to-value for large-scale accounts using Generative AI and LLMs.
Prepare a leadership case study on scaling teams
Draft a narrative detailing your experience managing multi-tiered pre-sales organizations. Highlight specific methods used to mentor front-line managers, attract top-tier talent, and foster a culture of consultative value selling in an enterprise SaaS environment.
Synthesize your technical expertise in CX ecosystems
Prepare a summary of your experience with CRM, CCaaS, and WEM integrations. Be ready to discuss how you have navigated complex enterprise architectures, AWS cloud infrastructure, and data privacy compliance in previous roles.
Curate a portfolio of executive-level presentations
Compile evidence of your public speaking experience, such as conference keynotes or C-suite workshops. Prepare to explain how you translate dense technical concepts into business outcomes for non-technical stakeholders.
Formulate strategic questions for the interview
Prepare insightful questions regarding Zendesk's current AI roadmap, the specific challenges of the APAC enterprise market, and how the Sales Engineering team collaborates with Product and Engineering to influence platform development.
Availability last checked: 19 Oct 2026. Status can change after a check; confirm on the employer’s website. Report an issue · Our checking policy
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