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Enterprise Solutions Engineer - Singapore

ElevenLabs · Singapore

About this role

As an Enterprise Solutions Engineer at ElevenLabs, you will play a pivotal role in unlocking the potential of our voice AI platform for a growing enterprise customer base. Your mission is to scale technical solutions efficiently by working directly with clients and improving internal processes to support our sales teams. Responsibilities: Collaborate with Account Executives to enhance technical sales processes; provide bespoke support and architect solutions for technical customer contacts; craft compelling technical demonstrations; create enablement resources to improve sales team technical fluency; build self-service tools and documentation; and identify opportunities to productize common integration patterns. Requirements: Passion for AI and ElevenLabs products; experience working with customers (including student clubs or side projects); strong technical background in software development and architecture; proficiency in Python; and excellent communication skills. Fluency in both Mandarin and English is required, along with a deep understanding of regional and cultural nuances. The role is based in Singapore, with an expectation of regular travel for customer onsites.

For full details about this role, click “Apply on company site” to view the employer’s original posting.

Skills for this role

PythonSoftware ArchitectureTechnical SalesCustomer SupportSystem IntegrationMandarinEnglishVoice AI

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Get interview-ready for this role

A focused preparation guide, built around this job’s responsibilities and requirements.

✦ AI-generated guide
Preparation suggestions, not the employer’s actual interview questions. Always check the original posting for current requirements.
01

Understand the role

What matters most

  • Scalable Technical Enablement

    The role requires moving beyond bespoke support to building self-service tools, documentation, and enablement resources. You must demonstrate an ability to identify recurring customer integration patterns and transform them into standardized, scalable solutions that empower both internal sales teams and external clients.

  • Strategic Technical Sales Collaboration

    You will act as the technical bridge between Account Executives and enterprise prospects. This involves crafting compelling demonstrations and providing architectural guidance that aligns ElevenLabs' voice AI capabilities with the specific technical requirements of a client's existing infrastructure.

  • Regional Market Adaptation

    Given the Singapore base and the requirement for Mandarin and English fluency, you must effectively navigate regional and cultural nuances. This is critical for building trust with local technical stakeholders and ensuring that communication strategies are culturally resonant during customer onsites.

Likely challenges to think through

  • Balancing Bespoke Support with Productization

    There is an inherent tension between providing high-touch, tailored support for enterprise clients and the mandate to build scalable, self-service tools. Prepare by discussing how you prioritize tasks to ensure immediate customer success while simultaneously capturing insights that inform long-term product improvements.

  • Technical Fluency Across Diverse Stakeholders

    You must translate complex AI architecture into value-driven narratives for non-technical sales staff while simultaneously engaging in deep-dive technical discussions with client engineers. Prepare by practicing how you adapt your communication style to maintain credibility with both technical and commercial audiences.

03

Practice your answers

Technical practice

Designing Scalable API Integrations

What to coverExplain how you would architect a robust integration between ElevenLabs' voice AI platform and a client's existing software stack. Focus on handling high-volume requests, error management, and ensuring low-latency performance for the end user.

Python for Automation and Tooling

What to coverDescribe a scenario where you used Python to automate a repetitive task or build a self-service tool for customers. Discuss your approach to writing clean, maintainable code that can be easily adopted or extended by other team members.

Architecting for Enterprise Requirements

What to coverWhen a customer has complex, bespoke requirements, how do you balance providing a custom solution versus leveraging existing product features? Discuss the trade-offs between speed of implementation and long-term maintainability of the integration.

Technical Demonstration Strategy

What to coverHow do you prepare a technical demonstration for a non-technical stakeholder versus a technical lead? Explain how you tailor the depth of your presentation to ensure the value proposition is clear to both audiences.

Identifying Patterns for Productization

What to coverDescribe your process for identifying common customer integration patterns that should be turned into standardized product features. How do you gather evidence and collaborate with product teams to prioritize these requests?

Troubleshooting Complex Deployments

What to coverIf a customer reports a performance bottleneck during their implementation of our voice AI, what is your systematic approach to debugging the issue? Mention how you would isolate the problem between the client's infrastructure and our platform.

Documentation and Enablement

What to coverWhat key elements do you include in technical documentation to ensure customers can implement solutions independently? Suggest how you would measure the effectiveness of your enablement resources for both internal sales teams and external clients.

Voice AI Fundamentals

What to coverDiscuss the technical challenges associated with integrating generative voice AI into enterprise workflows. Address considerations such as latency, audio quality, and security/compliance requirements.

Behavioural practice

Cross-Functional Collaboration

What to coverDescribe a time you worked closely with a sales or product team to solve a customer issue. Focus on how you communicated technical constraints while maintaining empathy for the commercial goals of the project.

Adapting to Cultural and Regional Nuances

What to coverGiven the requirement for Mandarin and English fluency in the Singapore market, share an example of how you have adapted your communication style to suit different cultural expectations in a business setting.

Managing Customer Expectations

What to coverTell me about a situation where you had to manage a customer's expectations regarding a technical limitation of a product. How did you maintain the relationship while providing a realistic path forward?

Handling Ambiguity in Projects

What to coverDescribe a project where the requirements were initially unclear. How did you work with the customer to define the scope and deliver a successful technical solution?

Prioritizing Multiple Customer Needs

What to coverWhen supporting multiple enterprise customers simultaneously, how do you prioritize your time and technical resources? Provide an example of how you balanced urgent support requests with long-term project goals.

02

Sharpen your knowledge

Topics to prepare

  • Enterprise Software Architecture Patterns

    Focus on API integration strategies, middleware, and scalable system design. This is relevant because the role requires architecting solutions that integrate ElevenLabs' voice AI into existing enterprise customer environments.

  • Technical Sales Enablement

    Study how to translate complex technical product features into business value propositions. This is relevant for collaborating with Account Executives and creating resources that improve the sales team's technical fluency.

  • Regional Market Nuances in Singapore

    Research the cultural and business communication norms in the Singaporean and broader APAC enterprise market. This is relevant as the role explicitly requires deep understanding of regional nuances and fluency in Mandarin and English.

Skills to revise

  • Python for API Integration

    Practice building scripts that interact with RESTful APIs and handle asynchronous data processing. This is relevant for creating the self-service tools and integration patterns mentioned in the job description.

  • Technical Demonstration Crafting

    Develop a structured approach to building and presenting technical demos that highlight specific product capabilities. This is relevant for the requirement to craft compelling demonstrations for prospective enterprise customers.

  • Technical Documentation Writing

    Practice writing clear, concise technical guides or tutorials for non-developer or semi-technical stakeholders. This is relevant for the requirement to build documentation that empowers customers to implement solutions independently.

04

Your preparation checklist

  • Develop a technical demonstration project

    Build a small-scale application using the ElevenLabs API in Python that solves a specific integration problem, such as automating voice-over generation for a localized content workflow. Prepare to walk through your code architecture and explain how you would adapt this demo for a non-technical stakeholder versus a technical developer.

  • Prepare examples of scaling technical solutions

    Identify past instances where you recognized a recurring technical issue and created a standardized tool, script, or documentation to resolve it. Be ready to explain how you identified the pattern, the impact of your solution on efficiency, and how you would apply this 'productization' mindset to ElevenLabs' enterprise offerings.

  • Refine your bilingual communication strategy

    Practice explaining complex technical concepts, such as API latency or model fine-tuning, in both English and Mandarin. Prepare to discuss how you navigate regional and cultural nuances when providing technical support to enterprise clients in the Singaporean and broader APAC market.

  • Formulate strategic questions for the interviewers

    Prepare questions that demonstrate your understanding of the role, such as: 'How does the engineering team currently prioritize feedback from the field to productize new integration patterns?' or 'What are the most common technical hurdles enterprise customers face when integrating voice AI into their existing stacks?'

AI-generated from the job information · Prepared Oct 14, 2026 (UTC)Useful preparation, not a guarantee of eligibility or an offer.

Availability last checked: 18 Oct 2026. Status can change after a check; confirm on the employer’s website. Report an issue · Our checking policy

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