Customer Success Engineer
Skyflow is hiring a Customer Success Engineer for a remote role. Level rates it ; you can apply on Skyflow.
Level's read on this job
- Works on AI ●●●○ is how Level rates this customer service role: the daily work is on AI products, without building the model.
- This is listed as a remote role.
- Level classes it as a senior role.
- Skyflow has 12 other open roles on Level.
- Posted in the last few days.
AI in this role
Skyflow secures the flow of data across datastores, models, and agents. 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.
Skyflow is trusted by Fortune 500 enterprises, and leading SaaS companies in financial services, healthcare, retail, travel and hospitality.
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 (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.
We 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.
What you have:
5+ years of technical experience working on SaaS technology platforms
3+ years of experience in customer-facing roles
Passion for customers and continuous improvement
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, microservices 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
Serve as the initial technical support point of contact for customers during and after implementation
Consistently achieve successful results, even under tough circumstances
Show adaptability when 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 401(k)
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 socioeconomic backgrounds.
How we rate this
Customer Success Engineer at Skyflow rates 66 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Also common in customer service jobs at this level
Pay
- Typical customer service job
- $98k
This posting doesn't list pay. Use the typical customer service figure when pay comes up. See customer service jobs
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