# AI Operations Engineer, Americas at Coderabbit > United States · Unspecified · Software engineering · open. Source: https://alderhq.app/jobs/ashby%3Acoderabbit%3Af6b018f4-5090-451b-83c7-111ba2884e55 (read 2026-11-06). ## Facts (observed) - Company: [Coderabbit](https://alderhq.app/companies/coderabbit) - Location text: SF \| Boston - Where it can be done from (inferred): United States (evidence: "Location: SF \| Boston") - Posted: 2026-11-05 (0 days ago) - First seen by alder: 2026-11-06 · last verified: 2026-11-06 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://jobs.ashbyhq.com/coderabbit/f6b018f4-5090-451b-83c7-111ba2884e55 - Skills listed (inferred): JavaScript, Python, LLMs ## Pay and sponsorship - Posted pay: $140k–$180k per year (from the listing's pay field) - Market band for similar posted roles (SF Bay Area, n 1630): p25 $161k, median $200k, p75 $242k - H-1B filings at this company for similar roles, FY26: 4, median offered wage $219k ([US DOL OFLC LCA disclosure data](https://www.dol.gov/agencies/eta/foreign-labor/performance)) ## Description (the employer's text) ### 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 Overview At 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 Responsibilities Identify 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 ### Qualifications 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 --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Acoderabbit%3Af6b018f4-5090-451b-83c7-111ba2884e55 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.