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Sourcegraph is hiring a Customer Success Manager to manage a book of 20 enterprise and commercial accounts. You'll own the post-sales relationship end-to-end, driving adoption, identifying risk, and ensuring customers are healthy for renewal and expansion.
Sourcegraph's mission is to bring clarity and control to the world's most complex codebases. The company provides engineering organizations full visibility across their systems, precise context for AI agents, and the ability to execute coordinated code changes at scale. Customers include Stripe, Reddit, and Leidos. The company is Series D-backed by a16z, Sequoia, and Redpoint.
In this role, you'll be deeply engaged with customers—digging into health scores and telemetry, running 1:1 trainings, leading business reviews, and working alongside Named Account Executives and Field Engineers. You'll operate with high autonomy, assessing your book of accounts, identifying priorities, and moving customers forward. The company is at an inflection point shifting from a seats-based model to consumption-based pricing, making the CSM's impact more tangible.
Within one month, you'll build relationships with your team and counterparts, learn the product and customer base, shadow calls, and begin owning your first accounts. Within three months, you'll own regular customer cadences, identify at-risk accounts, lead product trainings independently, and partner on renewals and expansion. Within six months, you'll drive adoption across your book, proactively surface risk and opportunity, run QBRs with documented KPIs, and serve as the voice of customers internally.
You're tech-curious, customer-oriented, and comfortable with autonomy. You're genuinely interested in developer tooling and the problems developers face—you don't need to code, but you need to care deeply about developer needs, get into the product, and guide customers confidently. You're analytical, communicate well across audiences (developers and executives alike), and can pull telemetry, read health scores, spot usage patterns, and build compelling narratives around what the data means for renewal and expansion.
