
Posted 4 months ago
Enterprise Field Engineer – Post-sales
AI Summary
Enterprise Field Engineer serving as a technical advisor and champion for CodeRabbit’s enterprise customers during post-sales onboarding, implementation, and success.
About this role
About CodeRabbit
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.
Role Overview
The 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.
This 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.
What you will do:
Lead technical onboarding and implementation for new customers, ensuring a smooth and successful deployment of the CodeRabbit platform
Translate customer requirements into implementation plans, configurations, and best practices tailored to their environment
Configure and optimize integrations with customer development workflows, CI/CD pipelines, and cloud environments
Deliver customer trainings, workshops, and enablement sessions to drive adoption and long-term success
Conduct regular configuration and architecture reviews to ensure customers are leveraging CodeRabbit effectively and following best practices
Act as a technical escalation point for complex issues, partnering with Support, Product, and Engineering teams to drive timely resolution
Proactively identify opportunities to improve customer outcomes, performance, and usage of the platform
Provide structured feedback to Product and Engineering based on customer usage, challenges, and feature requests
Stay abreast with industry trends and emerging technologies in AI-powered development tools and platforms
Contribute to internal documentation, implementation playbooks, guides, and best practices
Partner closely with pre-sales teams to ensure a seamless transition from sales to onboarding and ongoing success
What you will bring:
5+ years of experience in a customer-facing technical role with 2+ years in a dynamic, fast-paced, startup-like environment
Experience leading enterprise customer onboarding, implementation, or post-sales technical engagements
Experience working with diverse stakeholders, from technical teams to business leaders
Strong organizational skills and ability to manage multiple customer engagements simultaneously
Strong experience with software development tools and platforms
Comfortable working with command line tools and debugging technical issues
Knowledge in cloud platforms (AWS, GCP or Azure)
Excellent communication and interpersonal skills
Strong sense of ownership, self-motivation and eagerness to solve problems and improve customer outcomes
Willingness to uplevel the knowledge and skills of your peers through mentorship, trainings and shadowing
Bonus Points for:
Experience in container orchestration platforms (e.g., Kubernetes), infrastructure as code (e.g., Terraform), CI/CD tools (e.g., GitHub Actions)
Experience supporting production environments and handling technical escalations
Experience designing or reviewing system architectures in enterprise environments
Skills
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