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). As an AI Engagement Manager, you’ll own the success of Resolve AI's largest customers, leading fast-moving, high-impact deployments that transform how engineering teams work. You’ll run point on execution, from daily project scrums to technical onboarding, testing, rollout, and ongoing adoption. You’ll build strong relationships across engineering, product, and the C-suites, turning insights into action and value into measurable ROI. You'll drive adoption, align stakeholders, and shape the outcomes that matter most to our customers and to Resolve AI’s growth. This role is high velocity, high visibility and high impact. What You’ll Do Track and own customer health across key dimensions: executive sentiment, user sentiment, adoption metrics, investigation quality. Oversee the successful execution of a portfolio of enterprise-scale projects, ensuring they meet business objectives and drive measurable impact. Operate at maximum velocity- embrace a high-speed, dynamic environment where priorities can shift, requiring quick thinking and adaptability. Run daily project scrums, engage in planning,
requirements gathering/refinement, product management, testing, evals, deployment, etc, whatever is needed to drive execution forward. Build relationships with engineers, product users, and executive stakeholders — align success metrics across levels. Lead technical onboarding, training, support, rollout, and expansion for new customer environments and teams. Drive adoption through data-driven interventions: monitor usage, sentiment, and feedback signals. Deliver Business Value Assessments (BVAs) and Quarterly Business Reviews (QBRs) that quantify ROI (e.g. MTTI reduction, time saved). Surface product insights and customer needs to engineering and product teams; influence roadmap based on voice-of-customer. Identify and act on expansion opportunities (new use cases, teams, environments) in collaborating closely with Account Executives and flagging issues early.