Staff Product Manager: Data Protection, Remote

Ladders; United States; Remote; USD 164,000 - 205,000; Full time

Benefits offered by this job

Health plans

Vacation and sick time

Parental leave

Retirement options

Education reimbursement

In-office perks

Job summary

Ladders is seeking a Staff Product Manager - Data Protection to own strategy and execution for data protection within a broader security portfolio. This role partners with engineering, marketing, sales and customer-facing teams to translate market needs into clear priorities and outcomes. Location: Remote - US-based candidates only.

Compensation: $164,000 – $205,000 annually. The ideal candidate has 5+ years in cybersecurity product management, experience with DLP and data classification, and a

Qualifications

• 5+ years of product management experience in cybersecurity solutions.
• Foundational understanding of AI/ML technologies.
• Proven experience with DLP and data classification products.
• Strong technical foundation in data security and adjacent technologies.
• Excellent problem-solving and communication skills across technical and business stakeholders.

Responsibilities

• Own the end-to-end product lifecycle for data security products.
• Define and prioritize product requirements using market research and customer feedback.
• Collaborate with cross-functional teams to deliver product concepts.
• Support product deployment and sales enablement across environments.
• Drive go-to-market plans with Marketing and Sales for product success.

Skills

Product management

Cyber security

AI/ML awareness

Data protection

Communication skills

Job description

Ladders is seeking a Staff Product Manager - Data Protection to own strategy and execution for data protection within a broader security portfolio. This role partners with engineering, marketing, sales and customer-facing teams to translate market needs into clear priorities and outcomes. Location: Remote - US-based candidates only.

Compensation: $164,000 – $205,000 annually. The ideal candidate has 5+ years in cybersecurity product management, experience with DLP and data classification, and a