Product Manager - BioNeMo Inference

NVIDIA is transforming healthcare with AI to power the next generation of innovation in Biology and Life Sciences.

BioNeMo platform is rapidly growing and it is becoming the de facto platform for AI-driven biology and drug discovery.

We are seeking a hardworking individual to join our dynamic team as a Product Manager, driving the development and implementation of our innovative bio-AI inference strategy.

As a key member of the team, you will help develop the future of AI technology.

Your work will have a significant impact in this rapidly evolving industry.

If you have a passion for technology and a strong background in product management, we want to hear from you!

What you'll be doing:

• Develop and carry out a full-stack inference strategy for the BioNeMo platform, including NVIDIA Inference Microservices (NIMs) and Blueprints, aligned with company goals and objectives.
• Act as a liaison between the Digital Biology ecosystem and the rest of NVIDIA. Communicate the ecosystem priorities to the horizontal product teams and influence roadmaps to include feature development relevant for the bio ecosystem.
• Define and prioritize product features and requirements, balancing customer needs, technical feasibility, and business goals.
• Communicate product vision, strategy, and progress to collaborators and senior management, providing regular updates and reports.
• Collaborate with sales and marketing teams to develop go-to-market strategies, messaging, and positioning for the product.
• Monitor product performance and gather feedback from customers and users, using data to drive continuous improvements and inform future product development.
• Keep informed about developments and innovations in artificial intelligence and bio-inspired neural modeling, and apply knowledge to guide the product roadmap.

What we need to see:

• Masters degree (or equivalent experience) in Electrical, Mechanical, Materials, or other related fields.
• 5+ years of experience in Software Engineering, Deep Learning, Large Scale AI deployment.
• Deep technical foundation: should possess an extensive understanding of software development, machine learning, and bioinformatics. This involves familiarity with programming languages, frameworks, and tools frequently employed in these areas.
• Experience with product management: the ideal candidate should have prior experience in product management or equivalent, with a track record of successfully launching and managing technical products. This includes the ability to build product roadmaps, gather and prioritize requirements, and work cross-functionally with engineering, marketing, and sales teams.