Demo Engineer Manager

About the role

Join Cresta as a Demo Engineering Manager, where you will lead a high-impact team responsible for bringing our AI-powered platform to life in pre-sales environments. You will oversee the development of scalable demo infrastructure and tooling, build rich out-of-the-box demo environments, and personalize experiences to showcase the full value of Cresta’s capabilities. This role requires strong technical expertise, excellent cross-functional leadership skills, and a proven ability to build and scale technical teams. Key missions: Lead and manage a high-impact team responsible for developing scalable demo infrastructure and tooling, building rich demo environments, and personalizing experiences.. Define the vision, standards, and operating model for demo engineering at Cresta, ensuring high-quality, repeatable, and innovative demo experiences.. Collaborate with cross-functional teams to rapidly operationalize new feature releases into demo-ready assets, tooling, and environments. Profile: - Strong strategic thinking combined with a hands-on, execution-oriented mindset - 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.) - Excellent cross-functional leadership skills, with the ability to influence across Product, Engineering, and GTM teams - 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 - 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