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The Senior Enterprise Account Executive is responsible for managing and expanding relationships with large enterprise accounts and driving sales within designated territories, requiring extensive experience in enterprise sales and technical understanding.

The Senior Paid Search Marketing Manager will develop and execute paid search strategies, manage budgets, analyze performance metrics, and collaborate with teams to optimize user experience and demand generation efforts.

The Staff Content Designer will enhance product communication through accessible language, collaborating with teams to improve UX and narrative consistency across LaunchDarkly's products.

Lead the digital demand strategy, overseeing digital media, SEO, analytics, and revenue growth. Collaborate across functions to drive pipeline outcomes.

Join the Core Data Science team to ensure statistical rigor in product development. Collaborate across teams to enhance data-driven decisions and contribute technically.

Develop and maintain scalable backend services and APIs at LaunchDarkly. Lead technical discussions, mentor peers, and ensure best practices in backend development and observability.

The Enterprise Acquisition Account Executive is responsible for driving growth by acquiring new enterprise customers, managing territories, generating revenue, and building strong customer relations. They will utilize strategic thinking, enterprise sales expertise, and problem-solving skills to meet and exceed sales targets, while collaborating with internal teams and analyzing market data.

The Backend Engineer will build scalable backend services and APIs for feature management at enterprise scale, collaborating with cross-functional teams.

The Staff Solutions Architect - AI leads engagements to implement AI applications using LaunchDarkly, guiding customers on best practices for AI delivery and experimentation, while addressing technical challenges and establishing feature management strategies.

As a Backend Engineer for the Data Platform, you will build data pipelines, enhance database performance, collaborate across teams, and ensure code quality and best practices.