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 internally
• Define requirements for a solution that is loved by our customers
• Communicate 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 Qualifications

• 2-5 years experience in product management for a market leading B2B SaaS offering
• Bachelor’s degree in Computer Science, or related field; or equivalent experience
• Proven 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 skills
• Highly independent and pragmatic with a strong bias for action
• Have a growth mindset and be receptive to feedback or coaching

Preferred Qualifications

• Hands on understanding of Kubernetes, containers, virtualization (vSphere, OpenStack) and public cloud platforms (AWS, Google Cloud Platform, Azure, etc)
1 day ago