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Enterprises turn to Skyflow as their runtime AI data control layer to protect sensitive data, enable safe AI deployment, and unlock full value from their applications, data platforms, and AI systems. \nSkyflow is trusted by Fortune 500 enterprises, and leading SaaS companies in financial services, healthcare, retail, travel and hospitality.\nSkyflow is headquartered in Palo Alto, California and was founded in 2019. For more information, visit www.skyflow.com or follow on X and LinkedIn.\nAbout the role:\nAs the Customer Success Engineer (CSE), you will lead technical customer consultation and support, getting customers onboarded to Skyflow smoothly and effectively. You and the team of Customer Program Managers (CPMs) will act as trusted advisors, providing technical guidance and best-practice implementation support to our customers, helping them accelerate their time-to-value on their investment.\nWe enable some of the world’s largest customers in their journey of protecting and governing sensitive data by demonstrating and validating how the Skyflow Privacy Vault and Privacy API uniquely enable agility while ensuring trust and compliance.\nWhat you have:\n5+ years of technical experience working on SaaS technology platforms\n\n3+ years of experience in customer-facing roles\n\nPassion for customers and continuous improvement\n\nAbility to effectively communicate complex technical concepts (written and verbal)\n\nWorking experience with cloud technologies (Amazon Web Services, Google Cloud Platform, and/or Microsoft Azure)\n\nExperience with API-centric development technologies (OAS, GraphQL, REST, microservices patterns and concepts)\n\nExperience with both client-side and server-side SDKs\n\nExperience with data architectures (databases, NoSQL data stores, ETL, integration, etc.)\n\nApplication-level security experience (AuthN, AuthZ, key management, PBAC, ABAC, RBAC)\n\nExperience in ideating solutions and working with technology partners\n\nExperience working with end users and an ability to articulate their challenges\n\nAn ability to execute efficiently in an ambiguous environment\n\nExperience leveraging AI tools and AI-assisted development platforms (e.g., copilots, LLMs, workflow automation tools) to accelerate implementation, improve troubleshooting, and deliver customer value faster\n\nFamiliarity with integrating AI-driven analytics or automation into customer-facing workflows to improve scalability, insight generation, and operational efficiency\n\nWhat you’ll do:\nGain deep technical understanding of Skyflow’s product and integration capabilities to engage with stakeholders in customer organizations\n\nWrite basic code samples for customers to reference during implementation\n\nSteward customers through the technical onboarding process\n\nServe as the initial technical support point of contact for customers during and after implementation\n\nConsistently achieve successful results, even under tough circumstances\n\nShow adaptability when gaining support from varying audiences\n\nLeverage AI tools and automation to streamline onboarding, documentation, troubleshooting, and support workflows, enabling scalable customer success operations\n\nIdentify and implement AI-driven opportunities to reduce manual effort, accelerate time-to-value, and enhance proactive customer insights and engagement\n\nBenefits:\nWork-from-home expense (U.S., Canada, and Australia)\n\nExcellent health, dental, and vision insurance options (varies by country)\n\nVanguard 401(k)\n\nFlexible paid time off (unlimited)\n\nGenerous equity\n\nAt Skyflow, we believe that diverse teams are the strongest teams. 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