Posted today · be early
Demo Engineer
Cresta
IndiaremotePosted today
Skill Required
Demo-EngineeringConversational-DesignPre-Sales-EngineerSales-EngineeringSolution-EngineeringTechnical-Demo-EngineerDemo-SpecialistDemonstration-SpecialistTechnical-Demo-DevelopmentProduct-Demo-SpecialistMachine LearningGenerative AIEngineeringautomationdesignandAIFulltime
Key highlights
- Posted base salary range represents location-based pay (exact figure not stated).
- Minimum 3+ years of experience in conversational design required.
- Equity and a comprehensive benefits package included.
- Prior hands-on contact center exposure highly valued.
- Cross-functional collaboration with Solution Engineers, Sales, and Product teams required.
- Fluency in a second language is a plus.
Role overview
Cresta builds a unified AI platform that combines conversational AI agents, real-time human agent augmentation, and conversation intelligence to drive revenue and efficiency across every customer service channel. The role of Conversational Design, Demo Engineer supports pre-sales engagements by designing, analyzing, and demonstrating Cresta's AI capabilities to prospective and existing customers.
Responsibilities
- Collaborate closely with Solution Engineers and Demo Engineering to design and deliver high-impact, AI-driven demos, Proofs of Concept (POCs), and Conversation Assessments that clearly articulate Cresta's value in real-world customer scenarios.
- Develop and generate high-quality synthetic conversations and AI model behaviors that realistically simulate customer interactions and bring priority use cases to life in pre-sales environments.
- Conduct in-depth Conversation Assessments and data analyses to uncover opportunity areas, quantify measurable impact, and build compelling business cases for net-new logo acquisition and upsell expansion.
- Continuously enhance demo environments by strengthening QA/QM frameworks, reporting layers, behavioral configurations, intent mining, metadata generation, and dashboard development to ensure accuracy, realism, and actionable insight.
- Design dashboards that tell a compelling business story, being meticulous in defining metadata layers and required attributes to make demo environments feel authentic and industry-specific.
- Establish structured Gen AI frameworks for complaint detection, customer experience measurement, repeat call analysis, and other traditionally subjective evaluation areas using Generative AI best practices; develop scalable methodologies that move beyond keyword-based logic toward AI-driven contextual understanding.
- Lead the design of QA automation frameworks that maximize projection and coverage through a combination of GenAI capabilities and advanced keyword features, reducing subjectivity while increasing consistency, accuracy, and scalability.
- Build cross-vertical expertise (e.g., insurance, banking, telecom, retail, hospitality) and adapt tone, workflows, and interaction strategies to reflect each industry's operational nuances and KPIs.
- Strategize and design scalable demo accounts that can be provisioned as sandbox environments for clients; own end-to-end maintenance, optimization, and governance of these accounts to ensure readiness and reliability.
- Develop structured GTM templates and reusable demo narratives for Solution Engineers aligned to key use cases, enabling consistent and compelling storytelling during customer engagements.
- Design and deploy AI Agent experiences using flow-based, prompt-based, and hybrid architectures across both voice and chat channels.
- Contribute forward-thinking ideas on product scalability, feature evolution, and competitive differentiation; analyze competitor approaches and proactively recommend ways to outpace the market.
- Challenge the status quo by introducing innovative, scalable processes and frameworks that improve efficiency, repeatability, and demo impact.
- Support and enhance Cresta's Opera Enablement Program, empowering customers to independently design, build, test, and QA their own AI models within structured best-practice frameworks.
Requirements
- Strong alignment with Cresta's culture and values — driven by a genuine desire to make people's lives easier, even in fast-paced and high-pressure environments; demonstrates resilience, positivity, and ownership, with the ability to maintain energy and focus when workloads are demanding; brings a growth mindset, remains coachable, and continuously seeks new ideas to improve collaboration, team dynamics, and collective progression.
- Deep understanding of contact center operations, performance metrics, and workflows across industries such as financial services, insurance, retail, and telecommunications; clear awareness of ongoing market shifts transforming contact centers, including AI adoption, automation, agent augmentation, omnichannel engagement, and operational efficiency mandates.
- Strong perspective on evolving contact center technologies and the tools agents use daily; ability to think from both the agent and end-customer viewpoint, identifying how conversational intelligence and AI agents can simplify workflows, reduce friction, and improve overall experience.
- Knowledge of industry-specific challenges and structural changes impacting contact center verticals today, and a clear understanding of how conversational AI and AI agents can streamline operations, improve compliance, drive retention, and enhance service quality.
- Experience collaborating cross-functionally with Solution Engineers, Sales, and Product teams in pre-sales, demo, or POC-driven environments.
- Minimum 3+ years of experience in conversational design, including building bots, virtual agents, AI-driven workflows, or conversation analytics solutions.
Nice to have
- Prior hands-on contact center exposure is highly valued.
- Fluency in a second language is a plus.
Additional details
- 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 leading investors, including a16z, Greylock, and Sequoia.
- CEO Ping Wu founded and led Google's Contact Center AI and Vertex AI platforms before joining Cresta.
- Compensation is competitive and location-based; final offers are shaped by experience, skills, education, and geography.
- Total compensation includes equity and a comprehensive benefits package for you and your family.
- Recruiting scam warning: all Cresta recruiting email communications come from the @cresta.ai domain; any outreach claiming to be from Cresta via other sources should be ignored.
- Originally posted on Himalayas.