המקום בו המומחים והחברות הטובות ביותר נפגשים
Cisco Cisco Meraki United States, California, San Francisco 191511821
27.01.2025
Responsibilities
- Shape the Product Journey: Collaborate with engineering and product management to guide product design, testing, and launch while influencing the roadmap.
- Empower Success: Develop and deliver compelling technical resources for internal teams, customers, and partners to ensure they have the tools they need.
- Collaborate Globally: Partner with Meraki’s global teams, aligning on product goals and leveraging diverse insights to create world-class solutions.
- Customer Advocate: Lead beta and pilot programs, engage directly with customers, and ensure their needs drive product direction.
- Resolve Challenges: Prioritize and address customer-reported issues, working closely with engineering for efficient resolution.
- Market Engagement: Meet with customers and prospects, present the product vision, and identify emerging opportunities for innovation.
- Demonstrated experience as a Product Manager/Owner or Technical Engineer in a technical domain.
- Strong skills in Linux systems, cloud-based architectures including AWS/GCP/Azure, and scripting languages (Python, Ruby, or JavaScript).
- Strong proficiency with SQL and analyzing data to understand issues and trends
- Experience debugging and optimizing video platforms and leading large-scale video data workflows.
- Proven ability to communicate technical concepts to both technical and non-technical audiences.
- Entrepreneurial attitude with a strong focus on product quality and user satisfaction.
- Passion for solving technical challenges creatively.
- Degree (or equivalent) in Computer Science, Computer Engineering, or a related technical field.
- Expertise in video streaming protocols, and cloud technologies.
- Hands-on familiarity with video codecs, cloud video technologies, or edge processing.
- Experience in embedded systems, application engineering, QA, or technical support.
- Strong technical writing and presentation skills.
- Knowledge of video sensor technologies and streaming optimizations.
- Background in supporting or selling AI/ML-driven video solutions.
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