Senior Product Manager, Connectors

About the role

As Senior Product Manager, Connectors, you'll lead key connector initiatives within Veeam's Data AI Command Center platform, focusing on delivering new connectors, improving scan reliability and coverage, and enhancing the end-to-end connector experience. Reporting to the Director of Product Management, you'll work closely with engineering and design to execute roadmap priorities and deliver measurable outcomes that help customers discover and govern data across complex application and data landscapes.

Responsibilities

• Own roadmap execution for a set of high-impact connectors and shared connector framework capabilities including setup, scan workflows, and reliability improvements
• Lead product discovery through customer interviews, field feedback, support and telemetry analysis, and competitive insights to inform prioritization
• Define requirements for connector capabilities including authentication models, scan configuration, data extraction patterns, and operational experiences such as logging, error handling, and troubleshooting
• Write clear product requirements and user stories with acceptance criteria, edge cases, and non-functional requirements covering performance, scalability, and security
• Partner with engineering to plan milestones, manage tradeoffs, and deliver iterative releases
• Track and improve product success metrics including scan success rate, time-to-first-value, connector adoption, and reliability
• Cook up launch readiness with documentation, enablement, and GTM stakeholders

Requirements

• 5–8 years of experience in product management, ideally in B2B SaaS or platform products
• Solid technical foundation across APIs, data systems, integration patterns, and cloud concepts
• Experience working directly with backend and platform engineering teams in Agile delivery models
• Ability to translate technical complexity into clear product requirements and customer outcomes
• Strong stakeholder management and communication skills
• Bachelor's degree in computer science or a related field, or equivalent experience

Qualifications

• Familiarity with data security posture management concepts and workflows such as data discovery, scanning, and sensitive data classification
• Experience building or managing integrations for cloud platforms, SaaS systems, or data infrastructure tools
• Background working with enterprise customers in complex deployment environments such as multi-tenant SaaS or hybrid architectures

Skills

• Experience with API development and integration
• Knowledge of data systems and integration patterns
• Understanding of cloud concepts and platforms
• Strong stakeholder management and communication skills
• Ability to translate technical complexity into clear product requirements and customer outcomes

Benefits

• Unlimited paid time off
• 12 paid holidays including 4 global Veeam 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
• 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
• Labor 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

Pay

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.

Schedule

Veeam offers a flexible schedule to accommodate the needs of its employees.