Senior Product Manager

💼 Senior Product Manager - AI/ML💰 $175,000-200,000 + bonus, healthcare paid for & equity 📍 San Francisco Bay Area (Or remote USA) My Product Path are partnered with one of the hottest AI/ML start-ups in America recruiting a Senior Product Manager to join a world leading Chief Product Officer to work on some groundbreaking products in the AI/ML space. This is a rare and exciting opportunity to have a live impact on GPU management, Traditional MLOps and GenAI workbench! The right Senior Product Manager will be able to work at a really fast paced with a "how" do we solve it mindset, not a no mindset as we are working in an environment where things are evolving at a really fast paced with an exciting future where we are constantly discovering new innovations. The ideal person will have worked in start/scale-ups or have that mindset and execution focus. Sr Product Manager role & responsibilities: PMs at our client spend a significant amount of time understanding the problems our customers face. Deeply understanding the problem is the foundation for all other activities & taking on allowing them to define the vision and prioritize effectively.Understand and communicate the challenges our customers face internallyDefine requirements for a solution that is loved by our customersCommunicate customer requirements to product and engineering teams and be the advocate for the product roadmap.Support the sales and customer success teams help customers understand the value of our market leading platform.Embrace iteration, get constant feedback and maintain forward momentum toward our huge vision.Be responsible for creating and maintaining world class technical documentation for users.Represent at trade shows, and craft technical content to present at conferences, meetups, and local events.Minimum Qualifications2-5 years experience in product management for a market leading B2B SaaS offeringBachelor’s degree in Computer Science, or related field; or equivalent experienceProven ability to communicate clearly and concisely on complex topics, and deliver effective technical presentations.This role requires you to be hands-on with the technology stack associated with AI/ML such as GPUs, MLOps and GenAI.Excellent communication (written and oral) and interpersonal skillsHighly independent and pragmatic with a strong bias for actionHave a growth mindset and be receptive to feedback or coachingPreferred QualificationsHands on understanding of Kubernetes, containers, virtualization (vSphere, OpenStack) and public cloud platforms (AWS, Google Cloud Platform, Azure, etc)