Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and co-founder, Tim Shi, an early member of Open AI.
As the Demo Engineering Manager at Cresta, you will lead a high-impact team responsible for bringing our AI-powered platform to life in pre-sales environments. This includes overseeing the development of scalable demo infrastructure and tooling, building rich out-of-the-box demo environments, and personalizing experiences to showcase the full value of Cresta’s capabilities - across conversation intelligence, real-time coaching, analytics, and AI agents.
This role sits at the intersection of technology, storytelling, and go-to-market strategy. You will manage and grow a team of Demo Engineers within the Solutions Team and partner closely with Solutions Engineering, Conversation Designers, Product, and Engineering to ensure Cresta delivers compelling, technically sound, and differentiated demo experiences.
You’ll be responsible not just for execution, but for defining the vision, standards, and operating model for demo engineering at Cresta - ensuring we scale high-quality, repeatable, and innovative demo experiences across industries and buyer personas.
- 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.
- 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.
$140K - $170K + Variable + Equity (based on experience will vary)
What We Do
Cresta is for sales and customer service teams who need to close the performance gap between their top performers and the rest. Our real-time expertise AI helps contact center agents unlock their full potential by uncovering expert behaviors from every customer conversation and amplifies them with real-time assistance and coaching. By nudging best practices around objection responses, expectation setting, troubleshooting, and more: Cresta supercharges agents to focus on what really matters; their customer interactions. Cresta brings together industry-leading AI experts, proven leadership, and top-tier investors including Sequoia, Andreessen Horowitz, Greylock Partners, Andy Bechtolsheim, Mark Leslie and Vivi Nevo.
