Staff Product Manager (Connectors)

Requirements 7–10+ years of experience building enterprise software products, including 5+ years in product management for highly technical platforms Strong understanding of data integration, multi-cloud and hybrid deployments, and distributed systems concepts Demonstrated experience with APIs and integration technologies including REST, GraphQL, webhooks, SDKs, and common authentication frameworks Proven ability to drive ambiguous, multi-stakeholder initiatives and ship products at scale with backend and platform engineering teams Excellent written and verbal communication skills, with the ability to influence architecture decisions through clear requirements and tradeoff articulation Bachelor's degree in computer science or equivalent practical experience

• Desirable) Domain expertise in data security posture management and related workflows such as data discovery, classification, and risk posture
• Desirable) Familiarity with enterprise data ecosystems including cloud object stores, data warehouses, datalakes, and SaaS collaboration systems
• Desirable) Experience with compliance, privacy, or security domains such as least privilege, data residency, or encryption
• Desirable) Background building a partner ecosystem, connector certification programs, or marketplace integrations

What the job involves As Staff Product Manager, Connectors, you'll own the vision, strategy, and execution for a scalable connector framework that powers data discovery, scanning, classification, policy enforcement, and privacy and security workflows across a broad set of enterprise environments Reporting to the Director of Product Management, this is a highly technical individual contributor role operating across engineering, data science, design, research, and GTM teams You'll drive complex connector initiatives end-to-end — from technical strategy through to customer adoption and measurable outcomes Define and drive product strategy for the connector ecosystem, including long-term roadmap, platform investments, and partner and integration priorities Own the connector framework architecture to enable scalable onboarding of new data sources and applications across cloud, on-premises, and hybrid environments Lead development of core capabilities including authentication and authorization patterns, scanning orchestration, data access methods, and metadata extraction for discovery and classification workflows Drive technical solutions for large and complex features independently by authoring product requirements, defining non-functional requirements, and guiding engineering execution Partner with design to deliver connector experiences that reduce time-to-value across setup, credentialing, permissions checks, scan validation, and troubleshooting Define and operationalize success metrics such as connector adoption, scan success rate, time-to-first-scan, and classification completeness Establish a connector lifecycle model covering versioning, backward compatibility, deprecation, certification, and release readiness #J-18808-Ljbffr Veeam