
51 - 200 employees
Founded 2024
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
🔥 Funding within the last year
💰 $40M Series A on 2026-04
Artificial Intelligence • Enterprise • SaaS
ResolveAI is an AI SRE platform that runs in production to investigate, mitigate, and remediate incidents autonomously or as a primary on-call assistant. It provides AI agents that triage alerts, escalate to engineers with context, identify root causes, mitigate incidents, and automate operational tasks like monitoring deployments and tuning alerts. The platform integrates with customers' stacks, emphasizes enterprise-grade security (SAML SSO, RBAC, encryption, data isolation, auditable logs), and combines proprietary domain models with frontier models for cost/performance. Target customers are engineering teams and SREs at large scale organizations (examples: DoorDash, Coinbase, Zscaler). ResolveAI positions itself to reduce MTTR, reduce pages, and drive production reliability through managed custom agents and an Hivemind that maintains production state and recent changes.
🔥 0 minutes ago
Where this job comes from
Posted on ResolveAI's careers page, not through a job board
First seen by Remote Rocketship 0 minutes ago

51 - 200 employees
Founded 2024
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
🔥 Funding within the last year
💰 $40M Series A on 2026-04
Artificial Intelligence • Enterprise • SaaS
ResolveAI is an AI SRE platform that runs in production to investigate, mitigate, and remediate incidents autonomously or as a primary on-call assistant. It provides AI agents that triage alerts, escalate to engineers with context, identify root causes, mitigate incidents, and automate operational tasks like monitoring deployments and tuning alerts. The platform integrates with customers' stacks, emphasizes enterprise-grade security (SAML SSO, RBAC, encryption, data isolation, auditable logs), and combines proprietary domain models with frontier models for cost/performance. Target customers are engineering teams and SREs at large scale organizations (examples: DoorDash, Coinbase, Zscaler). ResolveAI positions itself to reduce MTTR, reduce pages, and drive production reliability through managed custom agents and an Hivemind that maintains production state and recent changes.
• Partner with Account Executives to manage complex enterprise sales cycles from discovery through proof-of-concept to close • Serve as the technical lead throughout enterprise sales processes • Lead product demos and technical evaluations • Translate customer infrastructure and operational challenges into actionable solutions using Resolve AI’s platform • Build trusted customer relationships and act as a consultative advisor • Ensure technical success during pilots and deployments • Collaborate 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 • Support a repeatable, scalable, high-velocity go-to-market motion
• 5+ years in Sales Engineering, Solutions Engineering, or a similar customer-facing technical role • Ideally experience in enterprise SaaS, DevOps, or AI • Proven success leading consultative sales cycles with enterprise customers and multiple stakeholders • Experience with cloud platforms, especially AWS • Experience with Kubernetes • Strong understanding of DevOps practices in cloud-native environments • Experience in infrastructure automation • Knowledge of security and compliance best practices in cloud-native environments • Ability to present technical concepts clearly to technical teams and executive leadership • Adaptability and self-starter mindset • Ability to thrive in fast-paced, early-stage environments • Legally authorized to work in the United States • May require visa sponsorship to work in the United States
• Comprehensive Medical, Dental, and Vision Insurance • Monthly Housing Stipend • Flexible (Unlimited) Paid Time Off • Visa Sponsorship & Immigration Support • 401(k) Plan • Parental Leave • Discretionary Tech Benefit Stipend • Daily in-office Lunches and Dinners • Competitive Pay Packages • Career growth and professional development opportunities • Collaborative, high-trust environment • Mission-driven work on agentic AI and enterprise software
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