[KIT-list] Product Manager (Remote — HQ in San Francisco)

If you are interested in this role, please email your resume to:
lynn@career-nav.com and please include " 20248PM" the subject line.

You are welcome to share this with a friend or colleague!


Product Manager — Remote with headquarters in San Francisco

Responsibilities:
Participate in defining the product strategy and roadmap.
Create buy-in for the product vision both internally and externally.
Gain a deep understanding of the customer experience, identify, and fill product gaps and generate new ideas.
Align the customer problem-space with our strategy and product vision.
Collect business, technical feedback and requirements, define, and prioritize product requirements, synthesize the feedback into the product definitions and ensure successful product releases with high customer satisfaction.
Work closely with sales and sales engineering on customer's requirements and support pre-sales with responses to customers inquiries.
Train integrations with departments within Nozomi Networks.
Be a product leader within the company.
Work with customers, partners, and 3rd party vendors to develop technical integration

Have experience:
Proven experience working on technology-powered products as either a product manager, technical product manager, software engineer, data analyst, data scientist or user researcher.
Integrations experience with APIs, firewalls, SIEMs, CMDBs, SOAR and other technology or security platforms.
Demonstrated understanding of the techniques and methods of modern product discovery and product delivery.
Proven track record of managing all aspects of a successful product throughout its full life cycle. Advantage to enterprise-grade, B2B products.
Experience in networking, security, or virtualization technologies with strong technical background with understanding of Cyber security/ Networking technologies.
Self-starter can work with little guidance and intuitive balance with common sense.
Fluent in agile and scrum practices.
Outstanding analytical skills, experience with data driven decision making.
Prefer BS degree or similar (Computer science, industrial engineering, or other engineering background).






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