Senior Sales Engineer; Bay Area - San Francisco Bay Area

WEKA is growing fast! We’re looking for smart, dedicated, driven individuals that want to help the world’s most innovative organizations solve complex data management challenges.

WEKA is architecting a new approach to the enterprise data stack built for the age of reasoning.
Neural Mesh by WEKA 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.

The Bay Area regional Sales Engineer will join our rapidly growing sales organization. Being a WEKA Sales Engineer will require you to partner with customers, understanding their needs and requirements, helping them to leverage the value and performance that WEKA can provide to their business and applications.

• Meet with customers and partners to educate them on the technical aspects of WEKA
• Assist with evaluations and system configurations
• Build and deliver technical product and architecture presentations and demos
• Become the advocate for WEKA customers and bring feedback back to the R&D and product management organizations
• Become a technical adviser to your customers and periodically review their status and inform on possible improvements
• Become an SME on WEKA and its ecosystem
• Contribute or lead responses to RFPs, RFQs, and RFIs
• Help in the creation and maintenance of Q&A’s, best practices, and other technical documentation
• This is a Hands‑on position

• Familiar with high performance IO workloads
• Extensive file systems system background – Experience with NFS, SMB and distributed parallel file systems
• Strong Linux OS knowledge
• Experience with performance demonstrations and analysis
• Prior experience in working at a start‑up company – an advantage
• Experience with running workloads in cloud hypervisors such as AWS, Azure, OCI or GCP
• Scripting abilities – an advantage
• Excellent verbal and written interpersonal skills

• 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.

The OTE hiring wage range for this position which the Company reasonably and in good faith expects to pay for the position in the specified geographic areas or locations, is $250,000‑280,000. Final compensation will be dependent on various factors relevant to the position and candidate such as geographical location, candidate qualifications, certifications, relevant job‑related work…