5 дней назад
Staff Product Manager (Data Protection)
164 000 - 205 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Product Manager (Data Protection): Driving the vision, strategy, and execution of cloud-based Data Security capabilities, including Web DLP and Email DLP, with an accent on AI/ML-driven classification, data protection, and cross-functional product delivery. Focus on defining complex product roadmaps, integrating customer and market insights, supporting deployment and sales enablement, and executing go-to-market plans.
Location: Hybrid role based in San Jose, California, USA, with 3 days onsite
Base salary: $164,000–$205,000 USD per year, excluding bonus, equity, commissions, and benefits.
Company
provides the Zero Trust Exchange, a cloud security platform focused on protecting users, devices, applications, and data from cyberattacks and data loss.
What you will do
- Own the end-to-end product lifecycle for Data Security products, including Web DLP and Email DLP.
- Define, document, and prioritize product requirements using market research, competitive insights, and customer feedback.
- Partner with Engineering, UX, Support, Operations, Sales, and Marketing to deliver products from concept through production.
- Support product deployment and sales enablement across beta and production environments.
- Drive go-to-market plans and measure product adoption and success.
Requirements
- 5+ years of product management experience delivering cybersecurity solutions.
- Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions.
- Experience with Data Loss Prevention and data classification products, including legacy tools and modern AI-based classification methods.
- Strong technical foundation in Data Security, Email, Proxy, CASB, DSPM, and adjacent technologies.
- Strong problem-solving and communication skills across technical and business stakeholders.
Nice to have
- Experience building roadmaps for Data Security, DLP, or AI-based automated data classification solutions.
- Technical degree or hands-on engineering background.
- Knowledge of browsers, browser plugins, endpoint agents, security frameworks, and compliance standards.
Culture & Benefits
- Ownership, collaboration, trust through outcomes, and continuous feedback.
- Health plans, vacation and sick time, parental leave, and retirement options.
- Education reimbursement and in-office perks.
- Inclusive workplace focused on collaboration, belonging, and equal opportunity.
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