{"id":419295,"url":"https://alion.io/job/coderabbit-enterprise-field-engineer-post-sales","title":"Enterprise Field Engineer – Post-sales","company":{"id":35010,"name":"CodeRabbit","domain":"coderabbit.ai","url":"https://alion.io/company/coderabbit-ai","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":93,"open_postings":30,"ghost_share":0,"stale_share":0.067,"repost_share":0,"time_to_fill_p50_days":98,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Solutions","role_family":"Solutions","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":200000,"max":250000,"currency":"USD","period":"year","gross":null,"usd_annual":250000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":true},{"name":"Kubernetes","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-05-11T19:45:34Z","employer_posted_date":"2026-05-11","last_verified_at":"2026-10-29T11:48:19Z","board_verified":true,"closed_at":null,"days_open":170,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":170},"description":"About CodeRabbit\nCodeRabbit 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.\nWe 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.\nRole Overview\nThe Enterprise Field Engineer’s primary role is to serve as a technical advisor and champion for CodeRabbit customers in the Enterprise tier throughout their post-sales journey. In this function, you will play a crucial role in onboarding, implementation, and ongoing success by partnering with Customer Success, Product, Engineering and Support teams to ensure customers realize the full value of CodeRabbit.\nThis is an exciting role for those who are technically curious and passionate about building AI-powered solutions for the SDLC. You will have the opportunity to make a significant impact in an exciting, collaborative and fast-paced company that’s focused on making our customers successful.\nWhat you will do:\nLead technical onboarding and implementation for new customers, ensuring a smooth and successful deployment of the CodeRabbit platform\n\nTranslate customer requirements into implementation plans, configurations, and best practices tailored to their environment\n\nConfigure and optimize integrations with customer development workflows, CI/CD pipelines, and cloud environments\n\nDeliver customer trainings, workshops, and enablement sessions to drive adoption and long-term success\n\nConduct regular configuration and architecture reviews to ensure customers are leveraging CodeRabbit effectively and following best practices\n\nAct as a technical escalation point for complex issues, partnering with Support, Product, and Engineering teams to drive timely resolution\n\nProactively identify opportunities to improve customer outcomes, performance, and usage of the platform\n\nProvide structured feedback to Product and Engineering based on customer usage, challenges, and feature requests\n\nStay abreast with industry trends and emerging technologies in AI-powered development tools and platforms\n\nContribute to internal documentation, implementation playbooks, guides, and best practices\n\nPartner closely with pre-sales teams to ensure a seamless transition from sales to onboarding and ongoing success\n\nWhat you will bring:\n5+ years of experience in a customer-facing technical role with 2+ years in a dynamic, fast-paced, startup-like environment\n\nExperience leading enterprise customer onboarding, implementation, or post-sales technical engagements\n\nExperience working with diverse stakeholders, from technical teams to business leaders\n\nStrong organizational skills and ability to manage multiple customer engagements simultaneously\n\nStrong experience with software development tools and platforms\n\nComfortable working with command line tools and debugging technical issues\n\nKnowledge in cloud platforms (AWS, GCP or Azure)\n\nExcellent communication and interpersonal skills\n\nStrong sense of ownership, self-motivation and eagerness to solve problems and improve customer outcomes\n\nWillingness to uplevel the knowledge and skills of your peers through mentorship, trainings and shadowing\n\nBonus Points for:\nExperience in container orchestration platforms (e.g., Kubernetes), infrastructure as code (e.g., Terraform), CI/CD tools (e.g., GitHub Actions)\n\nExperience supporting production environments and handling technical escalations\n\nExperience designing or reviewing system architectures in enterprise environments\n\nOTE for this role is $200k-$250k. 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