People Matter

Customer Success Engineer

Skyflow

Skyflow

Sales & Business Development, Customer Service
Remote
Posted on Feb 24, 2026

Location

Remote - United States

Employment Type

Full time

Location Type

Remote

Department

Product Management

Skyflow is a data privacy vault company built to radically simplify how companies isolate, protect, and govern their customers’ most sensitive data. With its global network of data privacy vaults, Skyflow is also a comprehensive solution for companies around the world looking to meet complex data localization requirements. Skyflow currently supports a diverse customer base that spans verticals like fintech, retail, travel, and healthtech.

Skyflow is headquartered in Palo Alto, California and was founded in 2019. For more information, visit www.skyflow.com or follow on X and LinkedIn.

About the role:

As the Customer Success Engineer (CSM), you will lead technical customer consultation and support, getting customers onboarded to Skyflow smoothly and effectively. You and the team of Customer Program Managers (CPM) will act as trusted advisors, providing technical guidance and best practices implementation support to our customers, helping them accelerate their time-to-value on their investment.

We enable some of the world's largest customer 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.


What you have:

  • 5+ years of technical experience working on SaaS technology platforms

  • 3+ years of experience in customer-facing roles

  • Customer and Continuous Improvement Passion

  • Ability to effectively communicate complex technical concepts (Written and Verbal)

  • Working experience with cloud technologies (Amazon Web Services, Google Cloud Platform, and/or Microsoft Azure)

  • Experience with API centric development technologies (OAS, GraphQL, REST, micro-services patterns and concepts)

  • Experience with both Client-side and Server-Side SDKs

  • Experience with Data Architectures (Databases, NoSQL data stores, ETL, Integration, etc.)

  • Application-level security experience (AuthN, AuthZ, Key Management, PBAC, ABAC, RBAC)

  • Experience in ideating solutions and working with technology partners

  • Experience working with end-users and an ability to articulate their challenges

  • An ability to execute efficiently in an ambiguous environment

  • Experience 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.

  • Familiarity with integrating AI-driven analytics or automation into customer-facing workflows to improve scalability, insight generation, and operational efficiency.



What you'll do:

  • Gain deep technical understanding of Skyflow’s product and integration capabilities to engage with stakeholders in customer organizations.

  • Write basic code samples for Customers to reference during implementation

  • Steward customers through the technical onboarding process

  • Initial Technical Support Point of Contact for customers during and after implementation

  • Consistently achieve successful results, even under tough circumstances

  • Show adaptability when faced with gaining support from varying audiences

  • Leverage AI tools and automation to streamline onboarding, documentation, troubleshooting, and support workflows, enabling scalable customer success operations.

  • Identify and implement AI-driven opportunities to reduce manual effort, accelerate time-to-value, and enhance proactive customer insights and engagement.

Benefits:

  • Work from home expense (U.S., Canada, and Australia)

  • Excellent Health, Dental, and Vision Insurance Options (Varies by Country)

  • Vanguard 401k

  • Flexible Paid Time Off (Unlimited)

  • Generous Equity

At Skyflow, we believe that diverse teams are the strongest teams. We invite applicants of all genders, races, ethnicities, nationalities, ages, religions, sexual orientations, disability statuses, educational experiences, family situations, and socio-economic backgrounds.