Remote Senior PM - Storage & Cost Optimization

Palo Alto Networks; New York (NY); Remote; USD 150,000 - 210,000; Full time

Job summary

Chronosphere, a Palo Alto Networks company, is seeking a Senior Product Manager to lead Storage and Cost Optimization efforts. You’ll bridge customers and engineering, turning hard data into clear roadmaps and measurable outcomes for a highly technical audience.

You’ll own the roadmap, run agile ceremonies, work with marketing and sales to position the product, and help GTM teams independently sell. The role requires strong research, a bias for action, and a passion for reducing complexity at

Qualifications

• 5+ years as a product manager on a B2B cloud-native product.
• Experience delivering software with agile processes and rapid feedback loops.
• Experience working with customers and prospects.
• Experience building and operating software as a service.
• Ability to turn customer research into a coherent strategy.

Responsibilities

• Perform primary research interviewing end-users and buyers.
• Set priorities and shape the roadmap.
• Communicate priorities and align the team around them.
• Act as product owner for a Scrum team working on observability features.
• Manage the backlog, groom stories, and break down tasks.
• Coordinate with product marketing on positioning and messaging.
• Drive clarity.

Skills

Primary research

Roadmap prioritization

Scrum / Agile

Stakeholder collaboration

Customer research to strategy

Observability product focus

Cross-functional leadership

Product ownership

Job description

Chronosphere, a Palo Alto Networks company, is seeking a Senior Product Manager to lead Storage and Cost Optimization efforts. You’ll bridge customers and engineering, turning hard data into clear roadmaps and measurable outcomes for a highly technical audience.

You’ll own the roadmap, run agile ceremonies, work with marketing and sales to position the product, and help GTM teams independently sell. The role requires strong research, a bias for action, and a passion for reducing complexity at