--- title: 'Pooled Customer Success Manager at CodeRabbit' canonical: 'https://feeny.ai/job/pooled-customer-success-manager-coderabbit-san-francisco-30sr61d23cp5' type: 'job' last_seen: '2026-10-21' --- # Pooled Customer Success Manager at CodeRabbit - **Company:** [CodeRabbit](https://feeny.ai/companies/coderabbit) - **Location:** San Francisco, CA / Boston, MA - **Employment:** full-time - **Posted:** 2026-10-16 - **Last confirmed live:** 2026-10-21 - **Apply:** https://jobs.ashbyhq.com/coderabbit/2db1c524-c15d-46b9-a14e-3a6ae99e08ac ## Job description ## About CodeRabbit CodeRabbit is the leading AI code review platform, trusted by more than 17,000 customers and 150,000 open-source projects, conducting over 2 million code reviews each week. We build the symbiotic partnership between developers and AI that makes shipping fast software safe again, reviewing every pull request, IDE change, and CLI commit so teams can move quickly without breaking things. We are a fast-moving, well-funded company, fresh off a $143M Series C at a $1.5B valuation — building Agentic Change Management, the control layer for software changes created by humans and agents. As AI writes more of the world's code, the bottleneck moves from implementation to judgment and helping human judgment scale is exactly the problem we exist to solve. Location: San Francisco, Boston or Austin ## About the team CodeRabbit is the AI code review platform. Development teams install it on their repositories and it reviews every pull request, so it sits in the daily workflow of a large and fast-growing customer base. The Scaled Success team is responsible for the health of that base, and works alongside a program manager, a content and enablement specialist and a success analytics engineer. The pooled customer success team is new within it, and this is one of its first roles. ## The role You work a shared queue of customer accounts. Work arrives when a signal fires: onboarding has stalled, nothing has been configured, the only active user has gone quiet, a renewal is approaching, a cancellation has been started, or a team is using fewer seats than it has bought. You pick the case up, find out what is going on, get the customer configured and back to work, and close it out with a record the next person can read. What you learn from the customers you work with feeds the playbooks, the automated campaigns and the triggers themselves. You work with the pooled team, the Content and Enablement Specialist, and the account executive who works expansion in the scaled lanes. Few customer success teams run this way yet. You will learn how to move an account from default settings to a configured, renewing customer in a handful of conversations, and how to tell from the data which accounts need a person at all. ## What you'll own - The queue: pick up triggered accounts, respond within the team's standard, and resolve or route each one - Configuration: take customers from default settings to a setup that fits their repositories, including Path Instructions, Learnings, pre-merge checks, IDE and CLI, and MCP - Saves: work cancellation and non-renewal signals, understand the reason, fix what can be fixed, and record what cannot - Renewals: run the renewal conversation where the signals say one is needed - The expansion hand-off: when you see seat headroom or a buying signal, qualify it and pass it to the account executive with the context they need - Playbook feedback: every case the playbook did not cover becomes a note, and patterns across those notes become new content, a new trigger, or new automation - Case records: notes clean enough that anyone on the queue can pick up where you left off ## Your first quarter - Complete product onboarding and work your first cases alongside the team - Work the queue at the team's response standard - Document the first ten cases where the playbook was missing or wrong, and propose the fix for each - Contribute to the team's first readout: cases by trigger, resolution, and configuration movement on the accounts you touched ## What you'll bring - 2+ years in customer success, technical support or solutions for a developer-facing product - You have worked a ticket queue or a shared inbox at volume and kept quality up - You write clearly in tickets, email and documentation - You want to know why a customer left, and you record it every time - You are comfortable on a team where the playbook is still being written ## Nice to have - You can read a YAML configuration file, open a pull request, run a CLI, and talk to an engineer about their workflow without a script - You have used CodeRabbit or another AI code review tool - Working knowledge of CI/CD pipelines and GitHub or GitLab workflows - Experience with Pylon, [Customer.io](http://Customer.io) or a similar success or support platform - Familiar with AI tooling and examples of you using it in similar roles ## How we work The team runs on measured results. Campaigns ship with control groups, numbers are labeled by source, and every report traces to rules anyone can audit. ## About CodeRabbit ## Company Overview - **One-liner**: CodeRabbit is an AI‑powered platform that automates the first pass of code reviews, providing context‑aware, human‑like feedback to help development teams ship faster and catch more bugs. - **Entity Type**: Private (Series B; total funding $79.61M; last round $60M in October 2025) - **Headquarters**: San Francisco, United States (also reported as Walnut Creek, California – conflicting reports) - **Founded**: 2023 - **Founders**: Harjot Gill (CEO) is the primary founder; other co‑founders are not publicly disclosed. ## Core Business - **Primary industries**: Software Development, AI‑powered Developer Tools - **Target customers**: B2B, serving Engineering teams across SMB and Enterprise (15,000+ customers including The Economist, Life360, ConsumerAffairs, Hasura) - **Mission / purpose**: “Revolutionize how code reviews are done” – enabling teams to move fast while maintaining code quality. ## Products & Services - **CodeRabbit AI Review (SaaS / API)**: An AI‑powered code review agent that integrates with GitHub, GitLab, and other platforms. It provides line‑by‑line feedback, code suggestions, architectural diagrams, unit‑test generation, docstring creation, and a “Chat with CodeRabbit” feature. Supports custom guidelines, path/AST‑based instructions, and learns from developer feedback (“Learnings”). ## Market Standing - **Valuation / Market Cap**: Not publicly disclosed (private company) - **Key Metric**: **Total Funding** – $79.61 million raised (Series B led by Scale Venture Partners at $60M, October 2025) - **Notable Investors / Partners**: Scale Venture Partners (lead, Series B), CRV (lead, Series A), Engineering Capital, Harmony Partners, NVentures (NVIDIA), and 8+ other investors. - **Growth Signals**: - Headcount: 154 employees, **+363.6% year‑over‑year**. - Customer base grew to 15,000+. - SOC 2 Type II certified; GDPR compliant. - Acquired FluxNinja in 2024. - Claimed as “Most installed AI App” (quote attributed to Jensen Huang, NVIDIA CEO) on homepage. - Active job postings: **39** (yearly increase of +550%). ## Competitive Advantages - **Continuous learning**: AI agent improves over time by incorporating developer feedback in natural language. - **Deep context**: Uses Codegraph, MCP servers, linked issues (Jira, Linear), and web queries to understand dependencies across files. - **Noise reduction**: 40+ linters and security scanners are integrated while false positives are filtered out. - **Customizability**: Entire review workflow can be configured via a YAML file, including custom checks and coding guidelines. - **Security‑first**: End‑to‑end encryption, zero data retention post‑review, independent SOC 2 Type II audits. ## Strategic Focus - **Expand pre‑merge checks** and finishing touches (e.g., custom checks in natural language). - **Deepen IDE & CLI integration** to review code even before PRs are created. - **Enterprise growth**: Hiring senior sales roles (Enterprise AE, Sales Manager) and expanding into EMEA and APAC markets (e.g., South Korea). - **Continuous improvement** of AI agent through user feedback and expanded external context sources. ## Why Work Here - **Culture**: Described as fast‑paced, innovation‑driven, collaborative, and impact‑oriented. Values: fearless & innovative, persistent & passionate, impact‑driven. - **Work model**: Hybrid/office‑first (San Francisco office with daily catered lunch); remote roles may be available for some positions. - **Compensation & perks** (from careers page): - Unlimited PTO - Premium medical, dental, vision coverage - 401(k) for U.S. hires - Stock options (high growth potential) - Monthly commuter stipend - Learning & development stipend - **Employee sentiment**: 3.8/5 on LinkedIn (11 reviews), with Compensation at 4.2, Career growth at 4.1, and Culture at 3.8. - **Engineering culture**: Technical team makes up 28% of headcount; employees use and improve the AI tool themselves; strong emphasis on shipping fast without breaking things. ## Sources 1. [coderabbit.ai/careers](https://coderabbit.ai/careers) 2. [coderabbit.ai](https://coderabbit.ai/) 3. [cbinsights.com/company/coderabbit](https://www.cbinsights.com/company/coderabbit) 4. [linkedin.com/company/coderabbitai](https://www.linkedin.com/company/coderabbitai) 5. 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