Product Manager, Secure Data Flows
SkyflowThis Product Manager role focuses on platform infrastructure for secure data flows. You will lead the strategy for how customers integrate sensitive data into their ecosystems via APIs and AI workflows.
What you’d own
- Vision and roadmap for Secure Data Flows
- Enterprise-grade workflow orchestration (triggers, conditional execution)
- Integration support for Agentic AI architectures
- Developer experience and platform adoption metrics
Who it’s for
A fit if you…
- ✓You have 3+ years of technical PM experience in developer-facing or platform products
- ✓You have worked on SaaS platforms specifically in security, privacy, or data infrastructure
- ✓You understand how AI systems operate in production, including tool invocation and orchestration
Not for you if…
- ✗You prefer highly defined requirements over operating in ambiguous, evolving technical domains
- ✗You are looking for a non-technical role without exposure to infrastructure or API design
- ✗You prefer working in isolation rather than partnering closely with customers and ISVs
Reading between the lines
- The mention of 'Agentic AI' and 'agent-native workflows' suggests you will be building for non-deterministic outputs and complex, multi-step autonomous actions.
- A requirement to work with Solutions, CX, and GTM teams implies a high degree of cross-functional coordination to ensure the product is actually usable by enterprise customers.
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Benefits
Full job description
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 http://www.skyflow.com or follow on X https://twitter.com/SkyflowAPI and LinkedIn https://www.linkedin.com/company/skyflow/.
ABOUT THE ROLE:
Secure Data Flows s is at the heart of Skyflow’s integration strategy. It defines how customers connect Skyflow to the rest of their ecosystem—through APIs, batch pipelines, webhooks, triggers, and event-based notifications. It’s how we make data protection effortless for developers, while keeping compliance airtight.
As the Product Manager for Secure Workflows, you’ll own the vision, strategy, and execution for this critical product area. You’ll help define how developers and partners interact with Skyflow, and ensure every data movement is secure, compliant, and beautifully simple.
WHAT YOU’LL DO
- Lead the vision and roadmap for Secure Data Flows, shaping the way customers integrate with Skyflow especially across their Agentic AI architectures and workflow
- Collaborate closely with engineering and design to build scalable, reliable features that power data movement at global scale.
- Enable first-class support for unstructured data flowing into AI workflows, AI and agent-native workflows in close partnership with adjacent product areas.
- Partner with customers and technology partners to expand Skyflow’s ecosystem and build frictionless integrated experiences.
- Translate Skyflow’s privacy mission into a cohesive product strategy turning customer insights, feedback, and data into clear execution plans.
- Work cross-functionally to drive outcomes, prioritize effectively, and bring clarity in an evolving, fast-paced environment.
- Define success metrics and iterate relentlessly to improve developer experience and platform adoption.
- Partner closely with engineering and design to deliver scalable, reliable, enterprise-grade workflow orchestration (e.g., triggers, conditional execution, containerized steps, simplified connections).
- Work with customers, ISVs, and technology partners to validate real-world workflows and ensure extensibility across ecosystems.
- Collaborate cross-functionally with Solutions, CX, and GTM teams to ensure workflows are operable, supportable, and adoptable at scale.
WHAT YOU’LL BRING
- 3+ years of technical product management experience, ideally in developer-facing, integration or platform products.
- 2+ years of experience working on SaaS platforms in security, privacy, or data infrastructure.
- Familiarity with AI or agent-based systems (e.g., tool invocation, orchestration, MCP-style patterns) you don’t need to be an ML expert, but you understand how AI systems operate in production
- Experience collaborating with partners and customers to design scalable solutions.
Strong communication skills you can explain complex systems in simple, human terms.
- A bias for action, with the ability to execute and adapt in an ambiguous environment.
- Comfort operating in ambiguity and making progress in fast-evolving technical domains.
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.
About Skyflow
See all roles →Skyflow builds a runtime AI data security platform centered on a Data Privacy Vault — an architecture pioneered at Apple and Netflix — that isolates, protects, and governs sensitive PII, PCI, and PHI across enterprise apps, AI models, and agentic workflows using zero-trust architecture and polymorphic encryption. Founded in 2019 and backed by Insight Partners, Canvas Ventures, and Khosla Ventures, the company serves customers like GoodRx, ServiceNow, and Visa who need to deploy AI safely without leaking sensitive data. Skyflow is recognized on Forbes America's Best Startup Employers list and is building at the intersection of enterprise security and the AI infrastructure stack.
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