Resolve AI
Deployment Engineer
San Francisco · Senior
Sponsorship not specifiedDetected 11 days ago
TypeScriptPythonGitAWSCloud PlatformsKubernetesCI/CDPrometheusGrafanaDatadogDevOpsSite Reliability EngineeringPlatform EngineeringLLMsAgentic AISalesAccount Management
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odds of building a lasting career here
40Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
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About the role
- Our customers run Resolve AI against their most critical production systems.
- You'll engage during technical validation, alongside our Solutions Engineers, and stay with your accounts long after the deal closes.
- There is no hand-off to a separate post-sales team
Responsibilities
- Own implementation end-to-end for your assigned accounts. Confirm scope and success criteria with the Solutions Engineer, build a mutual implementation plan and live blocker log with the customer, and drive to a production-ready deployment.
- Size the deployment footprint, connect and validate each integration (observability, logs, metrics, code, ticketing, chat) one at a time, and configure SSO, permissions, and data-redaction controls against the customer's security requirements.
- Prove quality before scale. Run back-tests against historical incidents, build customer-specific evaluation sets, review results with customer SMEs, and close gaps until they explicitly sign off that Resolve is ready for real incidents.
- Drive activation and adoption. Turn on production workflows, lead hands-on enablement and office hours, and embed Resolve in the customer's incident SOPs and runbooks so it becomes the default first responder.
- Own sustained consumption. Monitor active users, investigations, credit usage against plan, adoption breadth, and quality. Run reactivation plays when usage dips, and keep configuration and knowledge current as the customer's environment changes.
- Build leverage for the team. Create reusable implementation recipes, knowledge patterns, playbooks, and agent-driven automations so every deployment is faster and better than the last.
- Active power user of AI agents and coding tools (e.g., Claude Code, Codex, Cursor) who has built them into your own workflows. Comfortable with prompting, context engineering, and critically evaluating LLM output.
- Own implementation end-to-end for your assigned accounts.
- Visa Sponsorship & Immigration Support
- Build the knowledge that makes investigations accurate.
Requirements
- 5+ years in a technical, customer-facing role such as deployment or implementation engineering, forward-deployed or post-sales engineering, solutions architecture, or technical consulting.
- Deep hands-on experience with production infrastructure: cloud platforms (especially AWS), Kubernetes, CI/CD, and observability tools (e.g., Datadog, Grafana, Prometheus, Splunk, OpenTelemetry).
- Working knowledge of enterprise security and access: SSO/SAML, RBAC, data handling, and security reviews.
- Experience running technical workshops and enablement for engineering teams, and explaining complex concepts clearly to both engineers and leadership.
Nice to have
- Published technical guides, blog posts, or open-source contributions.
- Experience with consumption- or usage-based products.
- WHY JOIN RESOLVE AI?
- Accelerate Your Career: Grow alongside industry leaders in a fast-paced environment, gaining invaluable experience and opportunities to propel your career to new heights.
- Daily in-office Lunches and Dinners
Benefits
- Comprehensive Medical, Dental, and Vision Insurance
- Monthly Housing Stipend
- Flexible (Unlimited) Paid Time Off
- Parental Leave
- Discretionary Tech Benefit Stipend
- Competitive Pay Packages with full benefits including:
Company info
- 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 https://www.linkedin.com/in/spiros/ and Mayank Agarwal https://www.linkedin.com/in/mayank-ag/) are the core creators of OpenTelemetry and led Splunk Observability. They have had 2 successful exits to Splunk and VMware.
- We've raised over $190M from top-tier investors including Lightspeed, Greylock, DST, 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).
- Alternatively, you're an SRE, DevOps, or platform engineer who wants to work directly with customers.
- A track record of taking enterprise customers from kickoff to production and measurable adoption, across multiple stakeholders and competing priorities.
Equal opportunity
- We are an equal opportunity employer.
Visa & Work Authorization
- Visa Sponsorship & Immigration Support
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This listing is sourced directly from Resolve AI's careers page and normalized into a canonical job model.