Example Company
Software engineer
- Location
- San Francisco
- Type
- Full time
- Compensation
- $150k-$200k
- Posted
- 2 days ago
Join a team building useful software. Work closely with engineering and design to turn new ideas into products.
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AI Operations Engineer, Americas
- Location
- Boston
- Type
- Full time
- Compensation
- $140K – $180K
- Posted
- 3H AGO
A signal privately tells CodeRabbit you're interested. It is not a job application.
About the role
About CodeRabbit
CodeRabbit is the governance and control layer for agentic software development, helping engineering teams trust the code they ship. AI can generate code faster than people can review and understand it. Teams still need to know whether each change solves the right problem, fits their architecture, and is safe to ship.
We provide independent validation grounded in codebase context and team standards, giving people the evidence they need to judge what should ship. Across Review, Triage, Explain, and Secure, our platform challenges changes before merge, prioritizes pull requests by value, impact, and risk, explains what changed and why it matters, and monitors the codebase for security vulnerabilities after merge.
CodeRabbit serves nearly 20,000 customers and supports approximately 300,000 open-source repositories, performing over 2 million code reviews each week. Our $143M Series C, raised at a $1.5B valuation, supports further product development and international expansion.
Locations: San Fransisco, CA or Boston, MA (Boston preferred)- Hybrid
Role OverviewAt CodeRabbit, we seek an exceptional Support Operations Engineer who identifies operational gaps, designs solutions autonomously, and executes end-to-end. You will own the full lifecycle, from spotting inefficiencies in how support operates, to architecting the fix, to building and deploying the solution yourself. You'll be hands-on with code, automation, integrations, and data systems. You'll think strategically about frameworks and processes, then immediately build what's needed without waiting for someone else. You work across Product, Engineering, Services, and Support to understand pain points, but you drive the technical solutions yourself. This is a role for someone who sees a problem, owns it completely, and ships.
Key ResponsibilitiesIdentify gaps in support operations and autonomously design, build, and deploy automation systems and AI-powered workflows that improve team productivity, customer satisfaction, and support quality
Spot inefficiencies in how support operates and build the operational frameworks—automated playbooks, process integrations, quality systems—that fix them at scale
Autonomously build dashboards, metrics systems, and data pipelines that expose operational gaps and guide improvements
Own the full problem-to-solution cycle: identify recurring issues, architect technical fixes, and execute the automation, integrations, and tooling yourself
Build and own the knowledge management system from the ground up—automated runbooks, playbooks, FAQs, documentation—that prevents issues before they happen
Engineer and deploy AI-powered workflows and automation end-to-end: identify where they're needed, build them, integrate them, optimize them
Evaluate, architect, and implement the support tooling stack—independently making decisions and building integrations that scale operations
Own technical initiatives end-to-end: identify the problem, prototype the solution, validate it works, deploy it, optimize it—all autonomously
Autonomously build systems that improve support quality: quality automation, specialization tooling, knowledge distribution, training frameworks
Identify and execute supportability improvements autonomously; partner with Engineering and Product to shape AI-driven support
Drive strategic projects to identify, implement, and scale tools and automation that improve support efficiency, leverage LLM/AI capabilities, and enhance customer experience
Great candidates often have these qualifications:
At least 3 years of hands-on experience building support operations systems, automation, or technical solutions autonomously in a SaaS environment
Proven track record of identifying operational problems and autonomously building and deploying solutions that measurably improved support metrics
Strong technical foundation with proficiency in Python, JavaScript, or similar languages; able to independently build automation, data systems, dashboards, and ship solutions
Customer Obsession: a passion to deliver a high-quality customer experience
Systems thinking: ability to see operational gaps, architect fixes autonomously, and execute end-to-end without waiting for someone else to build
“Nice to Have”
Great candidates may also have one or more of these qualifications:
Proficiency in at least one programming or scripting language
Experience with code review processes and tools
Familiarity with observability, RCA, and debugging practices and tools
Strong understanding of modern software development practices, version control systems, and the software development ecosystem, e.g. Git, GitHub, CI/CD, VS Code, Cursor
Knowledge of customer success, sales, and professional services (e.g. retention, expansion, MEDDPICC, services delivery)
Bachelor’s degree (or equivalent) in computer science, engineering, mathematics, or another technical field
Collaborative Humans: Prioritizing collective intelligence
Fearless Innovators: Turning obstacles into growth opportunities
Persistent Passionate Developers: Thriving on complex, long-term challenges
Impact-Driven Creators: Crafting intuitive tools for developers
Rapid Learners and Un-learners: Adapting quickly in our fast-paced technological world
Work on cutting-edge technology with real-world impact
Collaborative and innovative environment
Competitive salary, equity, and benefits
Professional development opportunities
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