Jobs · greenhouse:rubrik
Staff Product Manager, Enterprise Data Protection
Keystone AI · Palo Altp, CA · Posted 29d ago
About the role
Define strategy and drive execution for enterprise data protection products at Keystone AI.
Staff Product Manager Location: Palo Alto, CA (also open to other locations on the West Coast, USA) About Us: Keystone AI, the Zero Trust Data Security Company™, delivers data security and operational resilience for enterprises. Keystone AI’s big idea is to provide data security and data protection on a single platform, including Zero Trust Data Protection, Ransomware Investigation, Incident Containment, Sensitive Data Discovery, and Orchestrated Application Recovery. This means your data is ready so you can recover the data you need, and avoid paying a ransom. Because when you secure your data, you secure your applications, and you secure your business. We have been recognized as a Forbes Cloud 100 Company, named as a LinkedIn Top 10 Startup and are proud to have earned Great Place to Work® Certification™. There has never been a more exciting time to join Keystone AI, and our future is even brighter. The work you do will help propel our next chapter of growth as you do the best work of your career. About the Team: At Keystone AI, our Product Management team is at the forefront of defining the strategy and driving execution to strengthen our leading platform for cyber-resilience. We are dedicated to meeting the ever-changing data management and security needs of our customers and wear multiple hats throughout the different stages in the product lifecycle and set the vision for our growing family of products. As advocates for both our users and our business, Product Managers balance varied perspectives and empower their teams to do great work. The Hypervisors team within Keystone AI's enterprise data protection business holds strategic value and is poised for significant business impact. The team is focused on solving cyber resilience challenges facing enterprises today. You'll be in the room with customers, guiding engineering on technical trade-offs, and leading the go-to-market plan. About the Role: As a Staff Product Manager for Hypervisors, you will drive the end-to-end strategy and execution for Keystone AI's Hypervisor solution, guaranteeing robust protection against cyber threats and data corruption to our customers. You will partner with engineering, design, and sales, working directly with customers to validate pain points and bring a differentiated, market-leading solution to life. Given the high growth and strategic importance of hypervisor protection at Keystone AI and also within the Enterprise Data Protection team, this position is crucial to the company's overall success. Key Responsibilities: Define and execute the strategies & roadmap of data protection solutions for Hypervisors & Distributed Hybrid Infrastructures , ensuring alignment with customer needs and business objectives. Lead the development & GTM efforts of the data protection solutions end to end. Drive product adoption and engagement by deeply understanding enterprise customers' pain points and requirements. Collaborate with cross-functional teams, including engineering, design, marketing, and sales, to deliver on the product roadmap. Own the entire product lifecycle, from ideation and discovery to launch and ongoing iteration. Stay up-to-date on industry trends, best practices, and compliance frameworks. Define key success metrics and use a data-driven approach for all product decisions. Serve as the internal and external subject matter expert on Hypervisor platforms and protection. Required Skills: 8+ years of experience in Product Management for B2B / SaaS enterprise software, preferably with products in hypervisor technologies (vSphere, AHV, Hyper-V) or container technologies (Docker, Kubernetes).. Experience with full stack (virtualization, network, storage) and cloud deployment models (on-prem, private cloud, hybrid cloud) is a big plus. Proven ability to thrive in ambiguous environments, demonstrating a strong capacity to distill complex, unstructured problems into clear, actionable steps. Track record of success collaborating with technical teams and translating complex concepts into user-friendly solutions. Perform market/competitive analysis, prioritize product features/gaps, and clearly articulate decisions and tradeoffs. Strong analytical skills with a data-driven approach to decision-making. Excellent communication and stakeholder management skills, with the ability to influence both technical and non-technical audiences. Experience working with enterprise customers pre- and post-sales to identify and solve their business needs. Collaborate with teams in a hybrid work environment across different timezones. Why Join Us? Drive the future of cyber resilience in a high-impact role at a market leader. Work with a world-class team of product managers, leaders, engineers, and designers. Competitive compensation and benefits package. If you're ready to make a significant impact on the future of enterprise security and help protect identity systems for global companies, we want to hear from you. #LI-NM2 The minimum and maximum base salaries for this role are posted below; additionally, the role is eligible for bonus potential, equity and benefits. The range displayed reflects the minimum and maximum target for new hire salaries for the role based on U.S. location. Within the range, the salary offered will be determined by work location and additional factors, including job-related skills, experience, and relevant education or training. US Pay Range $175,500 — $263,300 USD Join Us in Securing and Accelerating the World's AI Transformation Keystone AI (RBRK), the Security and AI Operations Company, leads at the intersection of data protection, cyber resilience, and enterprise AI acceleration. Keystone AI Security Cloud delivers complete cyber resilience by securing, monitoring, and recovering data, identities, and workloads across clouds. Keystone AI Agent Cloud accelerates trusted AI agent deployments at scale by monitoring and auditing agentic actions, enforcing real-time guardrails, fine-tuning for accuracy and undoing agentic mistakes. Linkedin | X (formerly Twitter) | Instagram | Keystone AI.com Inclusion @ Keystone AI At Keystone AI, we are dedicated to fostering a culture where people from all backgrounds are valued, feel they belong, and believe they can succeed. Our commitment to inclusion is at the heart of our mission to secure the world’s data. Our goal is to hire and promote the best talent, regardless of background. We continually review our hiring practices to ensure fairness and strive to create an environment where every employee has equal access to opportunities for growth and excellence. We believe in empowering everyone to bring their authentic selves to work and achieve their fullest potential. Our inclusion strategy focuses on three core areas of our business and culture: Our Company: We are committed to building a merit-based organization that offers equal access to growth and success for all employees globally. Your potential is limitless here. Our Culture: We strive to create an inclusive atmosphere where individuals from all backgrounds feel a strong sense of belonging, can thrive, and do their best work. Your contributions help us innovate and break boundaries. Our Communities: We are dedicated to expanding our engagement with the communities we operate in, creating opportunities for underrepresented talent and driving greater innovation for our clients. Your impact extends beyond Keystone AI, contributing to safer and stronger communities. Equal Opportunity Employer/Veterans/Disabled Keystone AI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Keystone AI provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Keystone AI complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please contact us at [email protected] if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. EEO IS THE LAW NOTIFICATION OF EMPLOYEE RIGHTS UNDER FEDERAL LABOR LAWS
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Why this role stands out
- ★Forbes Cloud 100 Company
- ★LinkedIn Top 10 Startup
Responsibilities
- ▸Drive end-to-end strategy and execution for Hypervisor solution
- ▸Partner with engineering, design, and sales
- ▸Work directly with customers to validate pain points
- ▸Bring differentiated, market-leading solutions to life
Must-have skills
- ▸product management
- ▸enterprise data protection
- ▸cyber-resilience
- ▸go-to-market strategy
Benefits
- ▸Forbes Cloud 100 Company
- ▸LinkedIn Top 10 Startup
- ▸Great Place to Work® Certification
FAQ
Is the Staff Product Manager, Enterprise Data Protection role at Keystone AI remote?+
This Staff Product Manager, Enterprise Data Protection position is listed as onsite (Palo Altp, CA).
What is the salary for the Staff Product Manager, Enterprise Data Protection role at Keystone AI?+
The listing states Estimated 107k-243k USD.
What seniority level is this Staff Product Manager, Enterprise Data Protection role?+
This is a lead level position.
What skills does the Staff Product Manager, Enterprise Data Protection role require?+
Key requirements include product management, enterprise data protection, cyber-resilience, go-to-market strategy.
How do I apply for the Staff Product Manager, Enterprise Data Protection role at Keystone AI?+
Use the "Apply on greenhouse:rubrik" button to open the original posting on greenhouse:rubrik, where you can submit your application directly to Keystone AI.