Senior Product Manager - AI
Job Summary
Job Description
Gigamon is seeking a Senior Product Manager with expertise in Product Management and GenAI technologies. This role involves managing solutions for AI and GenAI products and integrations, working cross-functionally to drive vision, strategy, and roadmap. The Senior Product Manager will be responsible for defining and delivering a product vision, writing requirements, collaborating with AI/ML engineers and data scientists, establishing metrics, and ensuring adherence to ethical AI principles. The role requires a deep understanding of AI/ML concepts and a customer-centric approach. The selected candidate will also be responsible for communicating technical AI/ML concepts effectively and staying updated with industry trends.
Must have:
- Manage AI/ML-based products and solutions.
- 10+ year overall experience.
- Work with cross-functional teams.
- Define and track performance metrics.
7 skills required
Job Details
At Gigamon, our purpose is to protect the hybrid networks and data of the largest, most complex organizations on the planet. Certified as a Great Place to Work, we offer a deep observability pipeline that efficiently delivers network-derived intelligence to cloud, security, and observability tools. This helps our customers to eliminate security blind spots, optimize network traffic, and dramatically reduce tool cost and complexity, enabling them to better secure and manage their hybrid cloud infrastructure. Gigamon has served more than 4,000 customers worldwide, including over 80 percent of Fortune 100 enterprises, 9 of the 10 largest mobile network providers, and hundreds of governments and educational organizations.
Gigamon is revolutionizing the way organizations run and secure their hybrid cloud infrastructure. Simply put, organizations today run over a complex jumble of old and modern networks and applications across on-prem and cloud environments, that are still being managed like it was the 90s, and a major reboot is needed.
Gigamon is the single platform that centralizes all data in motion to eliminate blind spots and optimize visibility for all cloud observability and security tools; it’s the plumbing, the tap, and the water filter. Visibility becomes even more complex as hybrid deployments expand to include multi-cloud and container deployments that scale out and up across the most sophisticated enterprise networks today.
We are looking for a strong Senior Product Manager with deep expertise in Product Management craft and GenAI technologies to drive our deep observability business. Reporting directly to the Vice President of Product Management, you'll manage solutions for AI and GenAI products and integrations, working cross functionally to drive vision, strategy and roadmap for innovation solutions to customer problems. You'll work closely with customers, engineering, and internal stakeholders to evangelize roadmap, align and deliver value, and grow the business.
What You’ll Do
- Define and deliver a product vision and roadmap for AI technology within the Gigamon portfolio across a number of products and features.
- Work from the customer problem backwards, deeply understanding what customer problems are relevant and translating them into actionable requirements.
- Write clear and concise requirements and drive the release process from ideation to delivery.
- Collaborate with AI/ML engineers and data scientists to develop AI-driven solutions to business problems.
- Work cross-functionally with stakeholders to build understanding and alignment on customer problems and their solutions.
- Establish metrics and performance benchmarks for AI-powered features and continuously optimize them.
- Ensure adherence to ethical AI principles and compliance with data privacy regulations in product development.
- Communicate technical AI/ML concepts effectively to non-technical stakeholders.
- Stay up to date with industry trends and advancements in AI/ML to identify opportunities for innovation.
- Coordinate with diverse R&D teams globally, including teams in the US and India.
What You’ve Done
- Managed AI/ML-based products and solutions, with at least 5 years of product management experience.
- 10+ year overall experience
- Worked with cross-functional teams including engineering, data science, UX, and business stakeholders.
- Defined, tracked, and iterated on key performance metrics for AI-driven products.
- A product leader with deep understanding of AI/ML concepts, data science, and model deployment.
- A strategic thinker who approaches problems from the customer’s perspective.
- An effective communicator who can bridge the gap between technical and non-technical audiences.
- A collaborator comfortable navigating complex, global team environments.
- Passionate about ethical AI, innovation, and delivering real customer value
The base salary compensation range targeted for this role based out of Gigamon's Santa Clara, CA, Headquarters office is $192,000 - $240,000, with an opportunity to earn an annual bonus or commission.
As an equal opportunity employer, all applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, disability, veteran status, or any other protected characteristic under applicable federal, state, and/or local law.
If your experience and skills closely match our job description but may not necessarily fulfill all requirements, please still apply. Gigamon is on a continued mission to grow and scale an innovative organization. We believe this is best achieved by hiring, celebrating, and respecting people with diverse backgrounds, skills, perspectives, and experiences.
The privacy rights of all individuals including job applicants and candidates are very important to us. Our Gigamon Applicant Privacy Policy, will inform you about how Gigamon Inc. and its direct and indirect subsidiaries collect, use, store, or otherwise process personal information about job applicants and candidates, including through your access and/or use of our careers website and third-party job websites (e.g. LinkedIn, Indeed, Glassdoor, Naukri, etc.).
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