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Conversational Designer, APAC

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Remote from
Australia
Salary
Undisclosed
Employment
Full Time
Experience
Director
Published
Apply before
12 Nov 2026
Listing views
97
Application actions
8
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AI Summary

The role, at a glance.

Cresta is hiring a founding Conversational Designer to lead customer-facing conversational AI delivery for the APAC region. The role owns implementations from discovery and requirements gathering through solution design, deployment, quality assurance, optimization, and customer enablement. It combines conversational design and virtual-agent architecture with program ownership, enterprise stakeholder management, and cross-functional collaboration. The successful candidate will help establish regional delivery practices while supporting customers building AI models through Cresta Opera.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

4/5
EasyHard

Pace & Pressure

5/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThis is a founding regional role that requires independent ownership of several complex enterprise AI implementations at once. It demands both hands-on conversational AI expertise and the ability to influence executive stakeholders, coordinate global teams, and create scalable delivery standards.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (period not specified)
$125,000
US market range (period not specified)$100k–$150k
AI insightSalary comparison is unavailable: the pay periods are unspecified or differ, or salary amounts are unavailable. Market figures are AI estimates. The employer pay period must be confirmed before comparison. Regenerate the analysis to obtain a market estimate with an explicit period.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you turn an enterprise customer’s business objective into a conversational AI solution?

I would begin with discovery sessions to clarify the target business metric, users, channels, current workflows, constraints, and success criteria. I would then map high-value intents and conversation paths, define the model or agent architecture, establish QA measures, and align a phased deployment plan with customer stakeholders.

Describe how you would manage multiple concurrent AI implementation projects with competing priorities.

I would maintain a clear delivery plan for each engagement with scope, owners, dependencies, milestones, risks, and measurable outcomes. I would use regular customer and internal checkpoints to surface blockers early, prioritize work according to customer impact and delivery risk, and communicate trade-offs transparently.

What approach would you use to evaluate and improve a deployed virtual agent or coaching model?

I would combine quantitative signals such as containment, resolution, conversion, escalation, and quality scores with qualitative review of conversation transcripts. I would identify recurring failure patterns, prioritize improvements by impact, test revised flows or prompts, and monitor results after release to confirm sustained improvement.

How would you explain a complex conversational AI design decision to an executive audience?

I would frame the decision in terms of customer and business impact rather than implementation detail. I would briefly explain the problem, available options, expected outcomes, risks, and recommendation, using concrete examples and agreed success metrics to make the trade-off clear.

How would you enable a customer team to independently build and QA models in a self-service platform?

I would provide role-based training that combines platform fundamentals, guided hands-on model building, QA workflows, and clear governance practices. I would reinforce learning with templates, documentation, review sessions, and a gradual handoff plan so the customer can operate confidently while knowing when to escalate for support.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
Opportunity details

About this role.

Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta’s unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world’s leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day.

Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world’s leading investors, including a16z, Greylock, and Sequoia. Cresta’s leadership includes some of the leading minds in AI today. Our CEO, Ping Wu, founded and led Google’s Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences.

Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta.

About the Role

As the Founding Conversational Designer for APAC, you will play a pivotal role in shaping how Cresta delivers conversational AI solutions across the region. You’ll lead the design and deployment of best-in-class AI conversation models that power real-time coaching and assistance for contact center agents, as well as virtual agents across voice and chat experiences.

This is a highly strategic, customer-facing role that combines conversational design expertise with strong project ownership and regional influence. As one of the first hires focused on Conversation Design in APAC, you will help establish delivery best practices, scale customer impact, and serve as a key partner in expanding Cresta’s presence across international markets.

You will manage complex AI delivery engagements from initial discovery through deployment and optimization, ensuring projects stay on track, stakeholders remain aligned, and outcomes drive measurable business value.

You’ll collaborate closely with cross-functional teams across Machine Learning, Data Science, Engineering, Product, Project Management, and Customer Success, while acting as a trusted advisor to customers throughout implementation. You’ll also help customers design, build, and maintain their own models using Cresta Opera, our proprietary self-service platform.

Responsibilities

  • Own end-to-end AI delivery projects across APAC, including discovery, requirements gathering, solution design, build, deployment, QA, and post-launch optimization
  • Serve as a founding regional expert in conversational design, helping shape scalable delivery frameworks and best practices for international customers
  • Manage multiple concurrent customer implementations while balancing timelines, priorities, and stakeholder expectations
  • Partner cross-functionally to define scope, track milestones, mitigate risks, and ensure successful execution
  • Translate customer business objectives into scalable conversational AI solutions across sales, retention, collections, and customer service use cases
  • Drive alignment with customer stakeholders through regular working sessions, solution reviews, and executive-level presentations
  • Lead model maintenance and performance tuning efforts to ensure ongoing quality and measurable impact
  • Deliver Cresta’s Opera Enablement Program to key stakeholders, empowering customers to independently design, build, and QA their own AI models
  • Design and develop virtual agent solutions using flow-based, prompt-based, and hybrid architectures
  • Contribute to internal documentation, implementation standards, and repeatable delivery methodologies as Cresta scales globally
  • Partner closely with teams in North America while helping establish regional expertise and customer success across APAC

Qualifications We Value

  • Strong written and verbal communication skills, with the ability to influence both technical and business stakeholders
  • Demonstrated project management experience, including managing multiple complex workstreams simultaneously
  • Proven ability to independently own deliverables, timelines, and cross-functional coordination in a fast-paced environment
  • 2+ years of experience in conversational design, conversational AI, bot development, or related fields
  • Experience presenting complex solutions to enterprise customer stakeholders, including executive audiences
  • Experience working directly with enterprise customers in implementation, consulting, or delivery roles
  • Experience operating in global or international customer environments preferred
  • Fluency in a second language strongly preferred
  • Background in Linguistics preferred
  • Experience with prompt engineering preferred
  • Experience with Dialogflow CX preferred

Perks & Benefits:

We offer a comprehensive and people-first benefits package to support you at work and in life:

  • Comprehensive medical, dental, and vision coverage with plans to fit you and your family
  • Paid parental leave for all new parents welcoming a new child
  • Remote work setup budget to help you create a productive home office
  • Monthly wellness and communication stipend to keep you connected and balanced
  • 20 days of vacation time to promote a healthy work-life blend

Compensation at Cresta:

Cresta’s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table.

Total compensation includes Base + Bonus + Equity, along with a comprehensive benefits package for you and your family.

Our use of AI in recruiting: We may use AI tools in our recruiting process, which require human review and oversight. If you have questions about our use of AI or wish to opt out, please contact recruiting@cresta.ai (if you are opting out, please use the subject ‘Opt-Out’ in your email).

Recording & AI transcription: We do not authorize candidates to record or use AI transcription of any interview by phone, notetaker app, AI glasses, or other device. Candidates may request an exception or accommodation for review during the interview process as needed.

Recruiting impersonation scams: We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates’ personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.

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