Software Engineer, Resolve AI
AI Agent
More information about location
5 days a week in office
AI production engineer
Be an early applicant
AI production engineer
101-200 employees
Be an early applicant
More information about location
5 days a week in office
101-200 employees
Company mission
To make machines be on-call for humans, not the other way around.
Role
Who you are
- 4+ years of industry experience building production software, with a strong background in backend or distributed systems
- Strong fundamentals in system design, data structures, and building reliable software in high concurrency environments
- Experience operating systems in production, including debugging failures, performance issues, and edge cases
- Hands-on experience with cloud platforms (AWS preferred), Kubernetes, and modern infrastructure tooling
- Familiarity with databases, messaging systems, and service-oriented architectures
- Interest in AI-driven systems, with experience or curiosity around LLM-powered applications, reasoning systems, or autonomous workflows
- A strong sense of ownership and comfort working in ambiguous problem spaces
- Ability to communicate clearly across technical and non-technical audiences
- A builder's mindset. You enjoy shipping, iterating, and improving systems over time
What the job involves
- We're hiring AI Agent Engineers: people who combine strong engineering fundamentals, AI-native thinking, and a relentless focus on customer outcomes. You won't just ship features. You'll own the full arc from understanding a customer's problem in production to delivering a solution that measurably improves their experience
- The best software engineers have always spent more time figuring out what to build than writing the code itself. With tools like Claude Code and Cursor accelerating code authorship at an unprecedented pace, that ratio is shifting even further, and we think that's a good thing
- This isn't a rebrand of the traditional software engineering role. It's a recognition that the highest-leverage engineering work today lives at the intersection of deep technical execution, customer empathy, and rigorous evaluation of what's actually working
- Own customer outcomes end to end. Work directly with customers, design partners, and internal stakeholders to define technical scope, success criteria, and delivery milestones — then build and ship the solution yourself
- Build product capabilities that matter. Design and implement features across the full stack, with a bias toward solving real problems observed in production environments rather than building in the abstract
- Integrate deeply with customer environments. Work hands-on with cloud platforms, observability systems, CI/CD pipelines, and incident response workflows to ensure our product fits seamlessly into how teams actually operate
- Diagnose and resolve complex issues. Troubleshoot hard problems across customer deployments, turning support interactions into product insights and durable fixes
- Measure what matters. Build evaluations and feedback loops that quantify customer value in a data-driven way, ensuring new capabilities are genuinely moving the needle — not just shipping
- Raise the engineering bar. Write clean, maintainable, well-tested code. Lead design discussions and code reviews. Help shape both the technical direction of the product and the engineering culture of the team
Our take
Finding and fixing software problems can take a significant amount of time that engineers could otherwise spend driving innovation. Resolve AI provides a platform that can automate a significant portion of this process, freeing up humans for more important or unique tasks.
Leveraging generative AI, Resolve's platform automates root cause analysis and incident response, cutting the mean-time-to-resolution by an impressive 80%. The AI handles all common alerts and actions, can understand code and capture changes without the need to be trained.
These capabilities mean that Resolve AI can automate a greater chunk of incident resolution than other tools, a fact that makes it stand out as a valuable investment. The company has raised substantial funding, leading to a Unicorn valuation in 2025. It will use its cash injection to grow its sales capabilities and expand its platform even further.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
Feb 2026
$125m
SERIES A
Oct 2024
$35m
SEED
Total funding: $160m
Company HQ
Potrero Hill, San Francisco, CA
Leadership
Spiros Xanthos
(Founder & CEO)Previously SVP and General Manager for the Observability Business at Splunk. Was CEO and Founder at Omnition, started and ran Pattern Insight until selling it to VMware, and founded ezhome.
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