Senior Product Manager, Connectors
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Product Manager, Connectors (Data AI): Lead key connector initiatives within 's Data AI Command Center platform with an accent on delivering new connectors, improving scan reliability and coverage, and enhancing end-to-end connector experience. Focus on owning roadmap execution, conducting product discovery through customer interviews and telemetry analysis, and defining requirements for authentication models, scan configurations, and operational features.
Location: San Jose, CA (Office Based)
Salary: $203,300 — $377,400 USD (Zone 1: San Francisco Bay Area)
Company
is the Data and AI Trust Company, market leader in data resilience and data security posture management, headquartered in Seattle with offices in over 30 countries protecting 550,000+ customers worldwide.
What you will do
- Own roadmap execution for high-impact connectors and shared framework capabilities including setup, scan workflows, and reliability improvements
- Lead product discovery via customer interviews, field feedback, support, telemetry analysis, and competitive insights to inform prioritization
- Define requirements for connector capabilities like authentication, scan configuration, data extraction, logging, error handling, and troubleshooting
- Write clear product requirements and user stories with acceptance criteria, edge cases, and non-functional requirements for performance, scalability, and security
- Partner with engineering to plan milestones, manage tradeoffs, and deliver iterative releases
- Track and improve metrics like scan success rate, time-to-first-value, connector adoption, and reliability
- Coordinate 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 related field, or equivalent experience
Nice to have
- Familiarity with data security posture management concepts like 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 like multi-tenant SaaS or hybrid architectures
Culture & Benefits
- Unlimited paid time off, 12 paid holidays, 4 extra global e Days for self-care, and 24 paid volunteer hours annually
- Paid parental leave: 8 weeks for all parents, 16 weeks for birthing parents
- Medical, dental, vision coverage from day one; mental health support and EAP
- 401(k) with company matching; fertility, adoption, surrogacy support; AirVet virtual vet care
- Legal services, identity protection, supplemental health insurance, tax-advantaged spending accounts
- Learning opportunities via LinkedIn Learning, O’Reilly, mentoring, workshops, and Global Day of Learning
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