
Resolve AI offers an Agentic AI Site Reliability Engineering (SRE) platform designed to automate incident response and troubleshooting for software engineering teams. The platform aims to reduce Mean Time to Resolution (MTTR) by up to 5x and increase engineering productivity by 75% by automating the handling of alerts, performing root cause analysis, and troubleshooting incidents. Key features include autonomous investigation of alerts, identification of problems, generation and testing of hypotheses for incidents, root cause identification with supporting evidence, and assistance with post-mortems. The company emphasizes its agent's ability to understand production environments and apply human-like reasoning. Resolve AI is committed to enterprise security and production readiness, with a focus on never ingesting raw data, having no write permissions to systems, and ensuring data privacy. They are SOC 2 Type II certified and founded by individuals with experience from Splunk, VMware, and OpenTelemetry.

Resolve AI offers an Agentic AI Site Reliability Engineering (SRE) platform designed to automate incident response and troubleshooting for software engineering teams. The platform aims to reduce Mean Time to Resolution (MTTR) by up to 5x and increase engineering productivity by 75% by automating the handling of alerts, performing root cause analysis, and troubleshooting incidents. Key features include autonomous investigation of alerts, identification of problems, generation and testing of hypotheses for incidents, root cause identification with supporting evidence, and assistance with post-mortems. The company emphasizes its agent's ability to understand production environments and apply human-like reasoning. Resolve AI is committed to enterprise security and production readiness, with a focus on never ingesting raw data, having no write permissions to systems, and ensuring data privacy. They are SOC 2 Type II certified and founded by individuals with experience from Splunk, VMware, and OpenTelemetry.
What they do: Agentic AI platform to autonomously investigate, triage, and remediate production incidents (AI for prod / AI SRE)
Founders: Spiros Xanthos (CEO) and Mayank Agarwal (CTO)
Recent raise: $125M Series A led by Lightspeed Venture Partners (announced Feb 2026)
Notable customers: Coinbase, DoorDash, MongoDB, Salesforce, Zscaler
Security / compliance: SOC 2 Type II; claims around not ingesting raw data and no write permissions
| Company |
|---|
Production reliability, incident response, observability and SRE automation
2024
Software Development
35000000
125000000
Announced at a reported $1B valuation
“Led by Lightspeed for Series A with participation from existing investors including Greylock and Unusual Ventures; notable individual backers include industry figures such as Jeff Dean and Fei-Fei Li”
About Resolve AI
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
Who You Are
Why Join Resolve AI?
We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law.