Shape the Product Journey: Partner with engineering and product management to guide product design, testing, and launch, influencing the roadmap.
Enable Success: Create and deliver impactful technical collateral for internal teams, customers, and partners, ensuring they have the tools they need to succeed.
Collaborate Globally: Engage with Meraki’s teams across global offices, driving alignment on product goals and leveraging diverse perspectives to deliver world-class solutions.
Customer Champion: Drive beta and pilot programs, engage directly with customers to understand their needs, and ensure their voices influence product direction.
Resolve Challenges: Review and prioritize customer-reported issues, collaborating with engineering to resolve them effectively and efficiently.
Engage the Market: Meet with customers and prospects, share the product vision, and identify emerging opportunities for innovation.
Issue Resolution: Review and prioritize customer-reported bugs and critical issues and establish a plan to address them
Requirements:
Track of experience as Product Manager / Owner in a technical domain
Expertise in debugging AI models and systems, preferably with a focus on computer vision and machine learning applications.
Proficient in cloud technologies and AI frameworks like TensorFlow and PyTorch.
Strong skills in Linux systems, scripting (Python, Ruby, JavaScript), and automating debugging tasks.
Experienced in data management and analysis to troubleshoot issues affecting AI model performance.
Ability to easily communicate complicated concepts to non-technical folks
An entrepreneurial, can-do attitude with a strong sense of product quality
Loves solving technical problems in creative ways
Bonus points:
Degree (or equivalent) in Computer Science, Computer Engineering, or a related technical field (or equivalent experience).
Hands-on familiarity with AI/ML models, computer vision, or camera and image sensor technologies.
Expertise in embedded or application engineering, QA, or technical support.
Experienced with technical writing and querying data using tools such as Salesforce/SQL.
Experience in supporting, selling machine learning technologies.
Experience in embedded or application engineering, technical support, product testing, or QA.
Understanding of camera and image sensor technology