Senior Sales Engineer, WEKA
East
$250-280k
OTE
AI-native data platform
Open for applications
AI-native data platform
501-1000 employees
Open for applications
$250-280k
OTE
501-1000 employees
Company mission
To power the possibilities of the future by eradicating the compromises of the past.
Role
Who you are
- Familiar with high performance IO workloads
- Extensive filesystems system background - Experience with NFS, SMB and distributed parallel file systems
- Strong Linux OS knowledge
- Data Center networking understanding
- 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
- 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
What the job involves
- 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
Our take
For data-driven organizations, WEKA supplies a platform for storing, processing and managing data across the cloud and on-prem. As an AI-native platform, it supports the transformation of data silos into pipelines capable of fuelling next-gen workloads like AI and HPC.
With traditional infrastructure often hindering data-led processes rather than helping them, WEKA is somewhat of a breath of fresh air for its customers. The company's comprehensive approach, alongside support for both Windows and Linux, enables it to serve many types of organization including those that are just taking off.
WEKA does have a few notable competitors, such as VAST Data, but has stood out thus far by delivering the fastest file system on the market. It has also raised considerable funding, the latest of which will support expanded product offerings, and has made notable partnerships such as with NVIDIA.
Freddie
Company Specialist at Welcome to the Jungle
Insights
22% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
May 2024
$140m
SERIES E
Nov 2022
$135m
SERIES D
Total funding: $465.1m
Company benefits
- Care package received upon hire: backpack, multiple shirts etc.
- 401(k)
- Stock options available
- Cellular phone plan coverage
- On and off-location meal perks
- Dental, vision, life & disability insurance
- Work-related travel reimbursement
- Flexible spending account
- Parental leave
- Professional development assistance
- A tech stack with Laptop or PC of choice, up to 2 monitors, office phone, headset
- Work from home opportunities
- Health insurance
- Career development
- At least one offsite event per quarter with spontaneous office gatherings regularly
Company HQ
Pruneyard / Dry Creek, Campbell, CA
Leadership
Liran Zvibel
(Co-Founder & CEO)Studied Mathematics and Computer Science at Tel Aviv University. Previously Software Engineer at InSightec for 1 year and Co-Founder & VP R&D at Fusic for 3 years.
Omri Palmon
(Co-Founder)Earned a BSc and a MSc in Pure Math from Tel Aviv University and a PhD in Computer Science from Stanford University. Previously Product Manager at ECI Telecom for 2 years.
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