Resolve AI-posted 3 months ago
Full-time • Mid Level
San Francisco, CA

At Resolve, we’re building Agentic AI that empowers software engineers by automating production engineering and SRE workflows. Our models deeply understand production systems — from code to databases — taking on repetitive, high-pressure tasks and handling critical incidents autonomously, so engineers can focus on building. 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 raised a $35M Seed round from top-tier investors like Greylock, Unusual Ventures, 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. At Resolve, we’ve brought together experienced (and successful) entrepreneurs, experts in understanding our customers, and leading innovators in AI and distributed systems. Now we need the right people to help us tell that story—one prospect at a time. Join Resolve as a founding go-to-market team member, helping us build and execute the playbook to drive repeatable revenue while also building a respected brand within the engineering community.

  • Lead end-to-end technical deployments of Resolve within customer environments, from scoping through production readiness.
  • Work directly with GTM and customer engineering teams during large-scale POCs to ensure adoption and success.
  • Troubleshoot, configure, and optimize deployments across cloud, observability, and infrastructure stacks.
  • Serve as a trusted technical advisor to customers, understanding their observability and reliability challenges and guiding best practices.
  • Collaborate with product and engineering to translate field learnings into roadmap priorities and reusable patterns.
  • Build automation, scripts, and integrations that accelerate deployment and improve repeatability.
  • 4+ years of professional software engineering or site reliability engineering experience.
  • Hands-on experience with observability tools (e.g., OpenTelemetry, Datadog, Splunk, Prometheus, Grafana, etc.).
  • Strong system-level understanding of cloud infrastructure (AWS, GCP, Kubernetes).
  • Track record of success in customer-facing or solutions engineering roles (Forward Deployed Engineer, Sales Engineer, or similar).
  • Ability to simplify complex technical problems and communicate them clearly to both engineers and business stakeholders.
  • Comfort operating in high-stakes, ambiguous environments where speed and quality both matter.
  • Prior experience as an observability practitioner or Sales Engineer.
  • Equity with Early Exercise & QSBS Eligibility
  • 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
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