
Manager, Field Engineering – Pre-sales at CodeRabbit (San Francisco, CA / Boston, MA)
CodeRabbit· San Francisco, CA / Boston, MA·
Role details
CodeRabbit at a glance
AI-powered code review that posts line-by-line feedback, summaries, and suggested fixes on every pull request.
CodeRabbit is an AI-powered code review platform that automates the first pass of code review, posting line-by-line feedback, summaries, and suggested fixes on pull requests and inside the IDE and CLI.
~$88M raised · latest: $60M Series B (September 2025), $550M valuation · backed by Scale Venture Partners, NVentures (NVIDIA), CRV, Harmony Partners
Summary
Lead and scale a high-performing team of Field Engineers supporting enterprise and commercial sales opportunities. Combine technical leadership, people management, and customer engagement to help customers evaluate AI-powered workflows across the SDLC.
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.
ROLE OVERVIEW
The Manager of Field Engineering - Pre-sales is responsible for leading and scaling a high-performing team of Field Engineers supporting CodeRabbit’s enterprise and commercial customers throughout the pre-sales journey. In this role, you will combine technical leadership, people management, and customer engagement to help customers understand the value of CodeRabbit and successfully evaluate AI-powered workflows across the SDLC.
You will partner closely with Sales, Product, Engineering, Marketing, and Customer Success teams to build a world-class technical sales organization. This is a hands-on leadership role where you will actively coach your team through customer engagements, support strategic deals, and help shape the future of CodeRabbit’s go-to-market motion.
The ideal candidate combines deep technical fluency with strong operational rigor, mentorship capabilities, and a passion for helping teams adopt AI-powered developer tooling.
WHAT YOU WILL DO
- Lead, mentor, and grow a team of Field Engineers supporting enterprise and commercial sales opportunities
- Partner closely with Account Executives to drive technical discovery, solution design, demos, evaluations, and Proof of Values (PoVs)
- Coach Field Engineers in real time through strategic customer engagements and complex technical evaluations
- Establish and maintain high standards for technical excellence, customer engagement, and execution quality across the team
- Help define and scale repeatable pre-sales methodologies, playbooks, demo environments, and evaluation frameworks
- Stay engaged with key strategic opportunities and act as an escalation point for complex technical and customer challenges
- Collaborate cross-functionally with Product and Engineering teams to communicate customer feedback and influence product direction
- Drive operational rigor across the team, including resource planning, pipeline alignment, forecasting support, and technical account prioritization
- Recruit, onboard, and develop top-tier Field Engineering talent
- Partner with Enablement and leadership teams to improve onboarding, training, and career development programs for the Field Engineering organization
- Stay current on emerging trends in AI-powered development tools, cloud platforms, CI/CD systems, and developer workflows
- Contribute to the evolution of CodeRabbit’s overall go-to-market and customer experience strategy
WHAT YOU WILL BRING
- 6+ years of experience in customer-facing technical roles, including 2+ years leading Solutions Engineering, Sales Engineering, or Field Engineering teams
- Experience supporting enterprise SaaS or developer-focused products in fast-paced, high-growth environments
- Strong technical background with modern software development tools, cloud platforms, and developer infrastructure
- Demonstrated ability to coach teams through complex enterprise sales cycles and technical evaluations
- Experience partnering with Sales leadership on territory planning, strategic accounts, and deal execution
- Strong organizational and operational skills with the ability to scale processes and teams effectively
- Excellent communication, leadership, and interpersonal skills
- Ability to build trust with technical practitioners, engineering leaders, and executive stakeholders
- Strong sense of ownership, accountability, and bias toward execution
- Passion for AI-powered developer tools and improving software engineering workflows
BONUS POINTS FOR
- Experience with container orchestration platforms (e.g., Kubernetes), infrastructure as code (e.g., Terraform), and CI/CD tooling (e.g., GitHub Actions)
- Experience working with AI-native developer platforms or developer productivity tooling
- Familiarity with enterprise security, compliance, and developer governance requirements
Why work at CodeRabbit
- 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.