About the role
About Resolve AI Software maintenance and production troubleshooting have become a massive tax of engineering velocity. Resolve AI is solving this by building a transformative, truly autonomous AI Production Engineer that investigates and fixes complex system issues end-to-end. Our founders ( Spiros Xanthos and Mayank Agarwal ) are the core creators of OpenTelemetry and led Splunk Observability. They have had 2 successful exits to Splunk and VMware. We’ve raised over $150M from top-tier investors including Lightspeed, Greylock, Unusual Ventures, and individual backers such as Jeff Dean (Chief Scientist, Google DeepMind), Thomas Dohmke (CEO, GitHub), Matt Garman (CEO, AWS), Reid Hoffman (Founder, LinkedIn), and Fei-Fei Li (Professor, Stanford). Joining Resolve AI at this stage of our journey is a once-in-a-lifetime opportunity. You’ve already decided that you want to work at an AI-native company that’s pushing the limits of how engineers work, and now you’re looking for the right one. What You’ll Do Partner with Account Executives to manage complex enterprise sales cycles from discovery through proof-of-concept to close, serving as the technical lead throughout the process. Lead product demos and technical evaluations, translating customer infrastructure and operational challenges into actionable solutions using Resolve AI’s platform. Build trusted relationships with customers, acting as a consultative advisor and ensuring technical success during pilots and deployments. Collaborate cross-functionally with Product and Engineering to relay customer feedback, influence roadmap decisions, and improve technical messaging. Develop and maintain reusable demo environments, playbooks, and sales engineering tools to support a repeatable, scalable and high velocity GTM motion. What We’re Looking For 5+ years in Sales Engineering, Solutions Engineering, or a similar customer-facing technical role, ideally in enterprise SaaS, DevOps, or AI. Proven success leading consultative sales cycles with enterprise customers and multiple stakeholders. Experienced with cloud platforms (especially AWS) and Kubernetes, with a strong understanding of DevOps practices in cloud-native environments. Skilled in infrastructure automation and applying security and compliance best practices in cloud-native environments. Strong communicator with the ability to clearly present technical concepts to both technical teams and executive leadership. Adaptable, self-starter mindset with a proven ability to thrive in fast-paced, early-stage environments.