United States (Remote)•US (Remote)
Remote
Senior
Full Time
24 days ago
💰$140,000 - $170,000
remoteAImanagementdemo engineeringpre-salestechnical leadership
Requirements
- •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
What You'll Do
- •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
- •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
Nice to Have
- •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
- •Competitive, location-based pay
- •Variable compensation
- •Equity
- •Comprehensive benefits package for you and your family
About Cresta
Cresta uses artificial intelligence to assist sales and service agents in the quality of customer service.
Palo Alto, CA, US
250 - 500
AI & Machine Learning