Director of Product Management – AI Infrastructure Platform

WEKA is architecting a new approach to the enterprise data stack built for the age of reasoning. The WEKA® Data Platform sets the standard for agentic AI data infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy.

WEKA is a pre-IPO, growth-stage company on a hyper-growth trajectory. We’ve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the world’s largest and most innovative enterprises and research organizations, including 12 of the Fortune 50, achieve discoveries, insights, and business outcomes faster and more sustainably. We’re passionate about solving our customers’ most complex data challenges to accelerate intelligent innovation and business value. If you share our passion, we invite you to join us on this exciting journey.

We’re looking for a Director of Product Management to lead execution and roadmap for our AI infrastructure platforms, spanning both hardware and software. This role is critical to shaping high-performance systems that power large-scale training and inference workloads for enterprise AI applications, as well as Enterprise HPC applications in verticals such as life-sciences and financial services.

Key Responsibilities:

• Own the end-to-end product strategy and roadmap for AI infrastructure, including GPU/server platforms, storage, networking, and orchestration layers.
• Drive product definition and execution across hardware-software boundaries to optimize for throughput, latency, and scalability in AI/ML environments.
• Collaborate with engineering, hardware design, AI research, field teams, and customers to define and prioritize platform capabilities.
• Stay ahead of market trends in AI workloads, foundation models, and datacenter architecture to guide long-term platform direction.
• Define success metrics and ensure delivery of high-impact, production-grade systems for enterprise and hyperscale customers.
  

Qualifications:

• 10+ years in product management, with at least 3 years in a leadership role focused on infrastructure, AI, or high-performance computing.
• A good understanding of AI/ML and HPC workloads and infrastructure (including GPU acceleration, model training/inference pipelines, and datacenter architecture).
• Experience building and delivering integrated hardware-software platforms at scale.
• Strong communication and cross-functional leadership skills; ability to interface with engineering, research, and executive stakeholders.
  

The WEKA Way

• We are Accountable: We take full ownership, always–even when things don’t go as planned. We lead with integrity, show up with responsibility & ownership, and hold ourselves and each other to the highest standards.
• We are Brave: We question the status quo, push boundaries, and take smart risks when needed. We welcome challenges and embrace debates as opportunities for growth, turning courage into fuel for innovation.
• We are Collaborative: True collaboration isn’t only about working together. It’s about lifting one another up to succeed collectively. We are team-oriented and communicate with empathy and respect. We challenge each other and conduct positive conflict resolution. We are being transparent about our goals and results. And together, we’re unstoppable.
• We are Customer Centric: Our customers are at the heart of everything we do. We actively listen and prioritize the success of our customers, and every decision we make is driven by how we can better serve, support, and empower them to succeed. When our customers win, we win.

Concerned that you don’t meet every qualification above?

Studies have shown that women and people of color may be less likely to apply for jobs if they don’t meet every qualification specified. At WEKA, we are committed to building a diverse, inclusive and authentic workplace. If you are excited about this position but are concerned that your past work experience doesn’t match up perfectly with the job description, we encourage you to apply anyway – you may be just the right candidate for this or other roles at WEKA.

 WEKA is an equal opportunity employer that prohibits discrimination and harassment of any kind. We provide equal opportunities to all employees and applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.