Scaled Success Program Manager
Partner with engineering leaders to drive adoption and measurable productivity gains for a GenAI code review platform. Requires 5+ years in Customer Success or DevRel at a SaaS/developer tools company plus strong technical fluency with CI/CD, Git, and engineering metrics.
Key Responsibilities
- Create, launch, and optimize customer programs (e.g., email nurturing campaigns, in-app guides, webinar programs) that drive product value and success at scale.
- Develop methods and analytics to monitor customer health scores, usage trends, and engagement metrics to identify risks or opportunities for growth.
- Drive sustained platform adoption and scaled customer success through proactive engagement, digital campaigns, and strategic check-ins.
- Deliver engaging enablement sessions, workshops, and scaled success programs to ensure ongoing customer value realization.
- Understand engineering goals, processes, and KPIs for scaled customers — from code review efficiency to pull request throughput to quality metrics.
- Collaborate with GTM and Product Management colleagues to drive renewals and account expansion through clear success narratives and data-backed outcomes.
- Serve as the voice of the scaled customer across GTM, Product Management, and Engineering teams to ensure user needs inform company priorities.
- Provide structured feedback to improve user experience, documentation, and onboarding workflows.
- Partner with Marketing to contribute customer stories, success metrics, and thought leadership around developer productivity.
- Identify efficiency gaps and implement automation to streamline customer-facing and internal processes.
Qualifications
- 5+ years in Customer Success, Developer Relations, or Technical Account Management within a SaaS or developer tools company.
- Strong technical foundation — comfortable discussing CI/CD pipelines, version control (GitHub, GitLab), and software engineering metrics.
- Familiarity with AI tools and their application in modern software engineering workflows.
- Excellent communication and relationship-building skills; able to speak fluently to both engineers and executives.
- Data-driven mindset — capable of turning platform analytics into strategic recommendations.
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