[Remote] Demo Engineer Manager

Note: The job is a remote job and is open to candidates in USA. Cresta is a company focused on enhancing customer experiences through AI technology, and they are seeking a Demo Engineering Manager to lead a team responsible for developing demo environments for their AI-powered platform. This role involves overseeing demo infrastructure, ensuring high-quality and innovative demo experiences, and collaborating with various teams to align technical storytelling with customer needs.

Responsibilities

• Build, lead, and develop a high-performing team of Demo Engineers, fostering a culture of ownership, creativity, and technical excellence
• Define and execute the roadmap for demo engineering, aligning with GTM priorities, product evolution, and key industry verticals
• Establish best practices, standards, and operating processes for demo environments, POCs, and pilots to ensure scalability and consistency
• Partner with Solutions Engineering leadership to ensure cohesive, high-quality storytelling across technical demos and conversational experiences
• Oversee the architecture, scalability, and reliability of demo environments, including virtual agents, agent assist, analytics, and end-to-end workflows
• Drive the development of reusable, modular demo frameworks that can be rapidly customized for different industries and use cases
• Ensure demo environments are always production-grade, stable, and ready for customer-facing engagements
• Guide the development of integrations, automations, and tooling (e.g., CCaaS/CRM connectors, AI workflows, custom apps) to expand demo capabilities
• Champion the use of modern AI-native tooling (e.g., LLM workflows, agents, prompt frameworks) to enhance demo realism and impact
• Partner closely with Product, Engineering, and Enablement teams to rapidly operationalize new feature releases into demo-ready assets, tooling, and environments—ensuring the field can effectively showcase the latest capabilities with clarity and confidence
• Collaborate with Product and Engineering to influence roadmap priorities based on pre-sales learnings and technical gaps
• Partner closely with Solutions Engineering and Sales to support strategic deals, ensuring demos and POCs are tailored, differentiated, and impactful
• Collaborate with Enablement to equip GTM teams with scalable demo assets, narratives, and technical training
• Work cross-functionally with Product, Engineering, and Enablement to continuously translate new product innovations into compelling demo scenarios, reusable assets, and technical playbooks for the field
• Establish feedback loops to capture insights from the field and translate them into improvements in product, demos, and workflows
• Define and track success metrics for demo effectiveness, environment reliability, and team productivity
• Implement processes for rapid issue triage and resolution to minimize risk in customer-facing moments
• Drive continuous improvement in demo quality, speed, and scalability across the organization

Skills

• 5–8+ years of experience in engineering, solutions architecture, technical pre-sales, or related roles, with 2+ years in a leadership or management capacity preferred
• Strong technical foundation, including APIs, integrations, authentication, data systems, and scripting (Python, JavaScript, etc.)
• Proven ability to build and scale technical teams, processes, and systems in fast-paced, high-growth environments
• Experience owning complex, customer-facing technical initiatives such as demos, POCs, or pilots
• Excellent cross-functional leadership skills, with the ability to influence across Product, Engineering, and GTM teams
• Strong strategic thinking combined with a hands-on, execution-oriented mindset
• Experience with CCaaS platforms (Twilio, Amazon Connect, Five9, etc.) and CRM systems (Salesforce)
• Familiarity with conversational AI, virtual agents, and contact center workflows
• Experience partnering closely with conversation design or UX teams to deliver end-to-end customer experiences
• Experience leveraging modern AI tools (e.g., LLMs, agents, prompt engineering frameworks) in technical workflows
• Background in high-growth SaaS or enterprise AI companies

Benefits

• Variable
• Equity (based on experience will vary)
• A comprehensive benefits package for you and your family

Company Overview

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