
Skyflow
Skyflow builds a data privacy and runtime AI data control platform for enterprises, securing sensitive data across applications, data stores, and AI models/agents. Its SaaS APIs provide capabilities like vaulting, tokenization, data governance, and data residency to enable safe AI deployment and compliance. Founded in 2019 and headquartered in Palo Alto, it serves Fortune 500s and SaaS providers in financial services, healthcare, retail, travel, and hospitality.
Open Positions at Skyflow
7 open positions
Enterprise Architect serving as a hands-on, customer-facing technical advisor for strategic customers integrating Skyflow into complex enterprise data ecosystems. The role defines architectures, leads live technical working sessions, guides performance and integration decisions, and influences Skyflow’s product roadmap.
Senior Site Reliability/Platform Engineer responsible for building and operating highly automated, multi-cloud infrastructure for Skyflow’s security-sensitive enterprise data platform. The role combines hands-on Go and Python development with Kubernetes operations, incident response, customer onboarding, and internal platform enablement.
Lead enterprise customers in designing privacy-first architectures using Skyflow’s Data Privacy Vault. The role combines hands-on technical evaluations, custom demos, proof-of-concepts, and strategic collaboration across pre- and post-sales engagements.
Skyflow is seeking a Senior Backend Software Engineer to build high-performance privacy APIs and backend infrastructure for its SaaS data-control platform. You’ll work on low-latency, high-throughput distributed systems that protect sensitive enterprise data at scale.
Skyflow is seeking a Senior Machine Learning Engineer to build, deploy, and scale production ML models and AI services. The role combines end-to-end ML pipelines, model optimization, observability, privacy infrastructure, and hands-on delivery of reliable AI-powered products.
Build and operate the automation and cloud platform powering Skyflow’s secure, multi-tenant and BYOC enterprise product. This hands-on role combines Go and Python development with Kubernetes operations, infrastructure automation, incident response, and platform reliability.
Build scalable backend infrastructure and Privacy APIs that help enterprises govern and protect sensitive data. This hands-on role focuses on high-throughput, low-latency distributed systems and integrations with external data platforms.