Demo Engineer Manager

About the role

The Demo Engineering Manager at Cresta leads a high-impact team responsible for bringing the AI-powered Cresta platform to life in pre-sales environments. This includes overseeing 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 various functionalities.

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 go-to-market (GTM) priorities, product evolution, and key industry verticals.
• Establish best practices, standards, and operating processes for demo environments, proof of concepts (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.
• Collaborate 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.

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.
• Bonus points for experience with CCaaS platforms (Twilio, Amazon Connect, Five9, etc.), CRM systems (Salesforce), conversational AI, virtual agents, and contact center workflows, experience partnering closely with conversation design or UX teams to deliver end-to-end customer experiences, and experience leveraging modern AI tools (e.g., LLMs, agents, prompt engineering frameworks) in technical workflows.
• Background in high-growth SaaS or enterprise AI companies.

Qualifications

• Education: Bachelor's degree in Computer Science, Engineering, or a related field.
• Professional certifications in relevant areas (e.g., AWS Certified Solutions Architect, Google Cloud Professional).

Skills

• Technical proficiency in software development, particularly in Python, JavaScript, and related technologies.
• Experience with AI and machine learning tools and frameworks.
• Strong communication and presentation skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• Ability to work independently and in a team environment, with strong problem-solving and decision-making skills.

Benefits

At Cresta, we offer a comprehensive benefits package that includes:

• Competitive, location-based pay reflecting market rates and individual contributions.
• Equity compensation based on experience.
• Health insurance options.
• Retirement savings plans.
• Flexible work arrangements.
• Professional development opportunities.

Pay

$140K - $170K + Variable + Equity (based on experience)

Schedule

Full-time