Manager, Field Engineering – Post-sales

CodeRabbit is an innovative research and development company focused on building extraordinarily productive human-machine collaboration systems. Our primary goal is to create the next generation of Gen AI-driven code reviewers: a symbiotic partnership between humans and advanced algorithms that significantly outperforms individual engineers. We combine language models with human ingenuity to push the boundaries of software development efficiency and quality.

The Manager, Field Engineering is responsible for leading and scaling a high-performing team of post-sales Field Engineers focused on onboarding, implementation, customer enablement, and long-term technical success for CodeRabbit customers. In this role, you will combine technical leadership, operational rigor, and customer engagement to ensure customers successfully deploy, adopt, and scale CodeRabbit across their software development lifecycle.

You will partner closely with Customer Success, Product, Engineering, Support, and Sales teams to build a world-class post-sales technical organization. This is a hands-on leadership role where you will actively coach your team through customer implementations, support escalations, architecture reviews, and strategic adoption initiatives.

The ideal candidate combines deep technical fluency with strong people leadership, customer empathy, and experience scaling customer-facing technical teams in fast-paced environments. The structure and focus of this role are inspired by modern customer engineering and field engineering organizations supporting AI-native developer platforms.

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  Lead, mentor, and grow a team of Field Engineers supporting onboarding, implementation, and customer adoption initiatives

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  Partner with Customer Success and Sales teams to ensure seamless transitions from pre-sales to post-sales engagements

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  Guide customers through deployment, configuration, integration, and optimization of the CodeRabbit platform

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  Coach Field Engineers through complex customer environments, technical escalations, and architecture discussions

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  Establish and scale implementation methodologies, onboarding frameworks, technical health checks, and adoption best practices

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  Act as an escalation point for complex customer issues, coordinating closely with Product, Engineering, and Support teams

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  Drive customer enablement through trainings, workshops, office hours, and technical guidance sessions

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  Conduct and oversee customer configuration reviews and architecture assessments to ensure successful long-term adoption

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  Improve operational excellence through documentation, implementation playbooks, troubleshooting guides, and internal tooling

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  Recruit, onboard, and develop top-tier Field Engineering talent

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  Partner cross-functionally with Product and Engineering teams to communicate customer feedback and influence roadmap priorities

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  Stay current on trends in AI-powered developer tools, cloud infrastructure, CI/CD systems, and modern software delivery workflows

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  6+ years of experience in customer-facing technical roles, including 2+ years leading Solutions Engineering, Customer Engineering, Technical Account Management, or Field Engineering teams

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  Experience leading customer onboarding, implementation, or technical adoption programs for SaaS or developer-focused products

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  Strong technical background with software development tools, APIs, cloud infrastructure, and CI/CD platforms

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  Experience managing technical escalations and supporting customers in production environments

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  Demonstrated ability to coach and develop high-performing customer-facing technical teams

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  Strong organizational and operational skills with the ability to manage multiple customer priorities simultaneously

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  Excellent communication and stakeholder management skills

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  Ability to build trust with engineering teams, platform teams, and executive stakeholders

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  Strong sense of ownership, accountability, and bias toward execution

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  Passion for AI-powered developer tooling and improving engineering productivity

• Experience with Kubernetes, Terraform, GitHub Actions, or modern DevOps tooling

• Experience supporting enterprise customer deployments in cloud or hybrid environments

• Familiarity with observability, developer productivity, or AI-native tooling ecosystems

• Experience building implementation playbooks, onboarding frameworks, or customer enablement programs