Jobs · himalayas
Product Manager
Nimbus Data Systems · United States · Posted 22d ago
About the role
Product Manager The Nucleus team is on a mission to help organizations prevent breaches by automating risk-based vulnerability and exposure management at scale. Our products help some of the world’s largest companies, government organizations, and MSSPs solve real problems with the ever-increasing scope and complexity of managing vulnerabilities. Our approach is market-proven in a dynamic space that is growing every day, and we are excited to expand our team so we can make our full vision a reality. We’re seeking a Product Manager to define and execute product strategy, roadmap, development, and GTM for a key area of our product experience, our UI/UX platform. Working with feedback from customers and internal stakeholders, you will prioritize high-impact solutions to customer problems and drive the launch of new products to satisfy our customers’ needs. This is an opportunity to play an important role in guiding the product direction of an expanding startup experiencing rapid growth. What You Will Do Own product strategy, roadmap, and goals for Nucleus’ UI/UX platform and associated functionality, including custom analytics functionality and other frontend customization features. Drive strategic product decisions by evaluating customer feedback and market trends Define and analyze metrics for product performance, and drive improvement against those metrics over time Solicit ideas and feedback, gather requirements, and coordinate cross-functional teams toward solving customer problems Work closely with engineering teams to deliver shippable products. About You Minimum Qualifications: 1 - 3 years of experience in product management for a technology company Ownership experience of B2B SaaS UX-focused products The ability to work under pressure and adapt to change Proven ability to work on highly technical products with complex technical requirements Excellent written & verbal communication skills Excellent analytical & presentation skills Comfort working with fully remote and distributed agile teams in multiple time zones Entrepreneurial, self-starting mindset: you take ownership of problems and solutions, not tasks Track record of delivering meaningful product enhancements to a diverse and demanding portfolio of enterprise customers Experience in development of products related to data analytics, search, or semantic middleware is highly preferred Preferred Qualifications: Experience in vulnerability management or another area of cybersecurity Experience with products integrating native generative AI functionality (natural language search, agentic automated workflows, etc.) Experience shipping products within the context of a fast-paced AI-enhanced SDLC Why You Should Be Excited Why You Should Be Excited 100% company-paid health, dental, vision, life, and short-term disability insurance options Generous 401(k) contribution (no employee match required) Flexible PTO plus 10 company holidays Equity in a high-growth, VC-backed startup A fantastic, people-centered company culture Fully remote work environment Additional Information At Nucleus we are committed to achieving excellence in our field by combining diversity, collaboration, teamwork, and pride in our work. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or disability. Originally posted on Himalayas
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FAQ
Is the Product Manager role at Nimbus Data Systems remote?+
This Product Manager position is listed as remote (United States).
What is the salary for the Product Manager role at Nimbus Data Systems?+
The listing states Estimated 100k-244k USD.
What seniority level is this Product Manager role?+
This is a unknown level position.
How do I apply for the Product Manager role at Nimbus Data Systems?+
Use the "Apply on himalayas" button to open the original posting on himalayas, where you can submit your application directly to Nimbus Data Systems.