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- Tasks: Lead the vision and strategy for AI-powered network observability solutions.
- Company: Join Broadcom, a global tech leader in semiconductor and software solutions.
- Benefits: Enjoy remote work flexibility and a dynamic corporate culture.
- Why this job: Be at the forefront of AI innovation while making a real impact on network visibility.
- Qualifications: 12+ years in product management with a strong grasp of AI and network technologies.
- Other info: This role offers a chance to collaborate with cross-functional teams and engage directly with customers.
The predicted salary is between 43200 - 72000 £ per year.
Product Manager, AI-Powered Network Observability – Broadcom NetOps page is loaded
Product Manager, AI-Powered Network Observability – Broadcom NetOps
Apply locations United Kingdom-Remote Location time type Full time posted on Posted 10 Days Ago job requisition id R023390
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Job Description:
We are seeking a highly motivated and experienced Product Manager to drive the vision, strategy, and execution of our AI-powered network observability solutions within Broadcom NetOps. This role will focus on leveraging artificial intelligence and machine learning to enhance network visibility, automate anomaly detection, and provide actionable insights for our customers. You will be responsible for defining the product roadmap, working closely with engineering, design, and marketing teams, and ensuring the successful delivery of innovative solutions that meet the evolving needs of our enterprise customers.
Responsibilities:
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Product Strategy and Roadmap:
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Define and execute the product vision and roadmap for AI-powered network observability solutions.
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Conduct market research and competitive analysis to identify opportunities and inform product strategy.
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Prioritize features and initiatives based on customer needs, market trends, and business goals.
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Product Development and Execution:
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Collaborate with engineering and design teams to translate product requirements into detailed specifications and user stories.
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Manage the product lifecycle from concept to launch, ensuring timely delivery and high-quality releases.
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Define and track key performance indicators (KPIs) to measure product success and identify areas for improvement.
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AI and Machine Learning Integration:
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Drive the integration of AI and machine learning capabilities into our network observability platform.
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Work with data scientists and engineers to develop and implement AI models for anomaly detection, root cause analysis, and predictive analytics.
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Ensure that AI-driven insights are presented in a clear and actionable manner for our customers.
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Customer Engagement and Advocacy:
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Engage with customers and partners to gather feedback and understand their needs.
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Serve as a product evangelist, presenting product demos and providing technical expertise to customers and internal stakeholders.
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Work with marketing and sales teams to develop product messaging and go-to-market strategies.
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Cross-Functional Collaboration:
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Collaborate with cross-functional teams, including engineering, design, marketing, sales, and support, to ensure alignment and successful product delivery.
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Communicate effectively with stakeholders at all levels of the organization.
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Work with UX designers to create intuitive and useful user interfaces.
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Qualifications:
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Bachelor\’s degree in Computer Science, Engineering, or a related field (Master\’s preferred).
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12+ years of product management experience, preferably in the network observability or IT operations domain.
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Strong understanding of AI and machine learning concepts and their application to network monitoring and analysis.
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Experience with network protocols, technologies, and monitoring tools.
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Proven track record of successfully launching and managing complex software products.
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Excellent communication, presentation, and interpersonal skills.
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Strong analytical and problem-solving abilities.
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Ability to thrive in a fast-paced and dynamic environment.
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Experience with cloud based technologies and SaaS product delivery.
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Experience with Network performance Monitoring and Diagnostics (NPMD) solutions.
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Familiarity with data visualization and analytics tools.
Preferred Qualifications:
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Experience with large-scale data processing and analysis.
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Knowledge of cloud-native technologies and microservices architectures.
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Experience with Agile development methodologies.
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Experience in the networking industry.
Broadcom is proud to be an equal opportunity employer. We will consider qualified applicants without regard to race, color, creed, religion, sex, sexual orientation, national origin, citizenship, disability status, medical condition, pregnancy, protected veteran status or any other characteristic protected by federal, state, or local law. We will also consider qualified applicants with arrest and conviction records consistent with local law.
If you are located outside USA, please be sure to fill out a home address as this will be used for future correspondence.
Welcome! Thank you for your interest in Broadcom!
We are a global technology leader that designs, develops and supplies a broad range of semiconductor and infrastructure software solutions.
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Product Manager, AI-Powered Network Observability - Broadcom NetOps employer: Broadcom Inc.
Contact Detail:
Broadcom Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Manager, AI-Powered Network Observability - Broadcom NetOps
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning, especially as they relate to network observability. This knowledge will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the field of product management and AI. Attend industry events or webinars where you can meet people from Broadcom or similar companies. Building these connections can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your experience with product lifecycle management and how you've successfully launched products in the past. Be ready to share specific examples that highlight your ability to collaborate with cross-functional teams and drive product strategy.
✨Tip Number 4
Research Broadcom's current products and their market position. Understanding their offerings and how they leverage AI in network observability will enable you to tailor your discussions and demonstrate your genuine interest in the company during the interview process.
We think you need these skills to ace Product Manager, AI-Powered Network Observability - Broadcom NetOps
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in product management, particularly in AI and network observability. Use specific examples that demonstrate your ability to define product roadmaps and collaborate with cross-functional teams.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and machine learning in network observability. Explain how your background aligns with Broadcom's goals and how you can contribute to their product strategy.
Highlight Key Achievements: In your application, emphasise key achievements from your previous roles, especially those related to launching complex software products or integrating AI capabilities. Use metrics to quantify your success where possible.
Showcase Communication Skills: Since the role requires excellent communication and presentation skills, consider including examples of how you've effectively engaged with customers or stakeholders in the past. This could be through product demos or collaborative projects.
How to prepare for a job interview at Broadcom Inc.
✨Understand the Product Landscape
Before your interview, make sure you have a solid grasp of Broadcom's AI-powered network observability solutions. Familiarise yourself with their current offerings and how they leverage AI and machine learning. This will help you speak confidently about the product strategy and demonstrate your genuine interest in the role.
✨Showcase Your Technical Knowledge
Given the technical nature of this position, be prepared to discuss your understanding of AI, machine learning, and network protocols. Highlight any relevant experience you have with these technologies, especially in relation to product management. This will show that you can effectively collaborate with engineering and data science teams.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities and how you handle product lifecycle challenges. Prepare examples from your past experiences where you successfully managed product development or overcame obstacles. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Engage with Customer-Centric Examples
Since customer engagement is key in this role, be ready to share examples of how you've gathered customer feedback and used it to inform product decisions. Discuss how you’ve acted as a product evangelist in previous roles, showcasing your ability to communicate effectively with both customers and internal stakeholders.
