Staff Product Manager, Connectors
Staff Product Manager, Connectors
San Jose, CAExplore this location
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Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.
About the Role
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.
What You’ll Do
- 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
What You’ll Bring
- 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
Bonus Skills
- Domain expertise in data security posture management and related workflows such as data discovery, classification, and risk posture
- Familiarity with enterprise data ecosystems including cloud object stores, data warehouses, datalakes, and SaaS collaboration systems
- Experience with compliance, privacy, or security domains such as least privilege, data residency, or encryption
- Background building a partner ecosystem, connector certification programs, or marketplace integrations
#LI-SO2
What you'll get
- Unlimited paid time off, 12 paid holidays, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
- Paid parental leave: 8 weeks for all parents, 16 weeks for birthing parents
- Medical, dental, and vision coverage starting on your first day
- Mental health support, therapy sessions, and digital wellness tools via our Employee Assistance Program
- 401(k) retirement plan with company matching contributions
- Fertility, adoption, and surrogacy support through Maven, plus paid volunteer time
- AirVet: 24/7 virtual veterinary care at no cost
- Legal services, identity protection, and supplemental health insurance options
- Tax-advantaged spending accounts for healthcare, dependent care, and commuting
- Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning
Compensation Transparency
Veeam is committed to pay transparency and equitable compensation. For this role, the compensation range below reflects the expected total target compensation (TTC), inclusive of base pay and a competitive performance-based bonus. For roles with a commission plan, the compensation range represents On Target Earnings (OTE), which includes base salary plus variable commission. When determining compensation, Veeam takes into consideration factors such as experience, education, skills, and geographic zone. Offers are typically made below the midpoint of the range.
In addition to compensation, Veeam provides a comprehensive benefits package, including health coverage, retirement plans, and unlimited time off.
Please note that any personal data collected from you during the recruitment process will be processed in accordance with our Recruiting Privacy Notice.
The Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to us, will be processed by us in connection with our recruitment processes.
By applying for this position, you consent to the processing of your personal data in accordance with our Recruiting Privacy Notice.
By submitting your application, you acknowledge that the information provided in your job application and any supporting documents is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification of information may result in disqualification from consideration for employment or, if discovered after employment begins, termination of employment.
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