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Kinetica // GPU-accelerated, in-memory analytics database
Engineering, Full Time       Posted: Thursday, October 31, 2019
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  Company Description

The Kinetica Active Analytics Platform combines streaming & historical data with location intelligence & machine learning-powered analytics. Organizations across automotive, energy, telecommunications, retail, healthcare, financial services, & beyond leverage the platform's GPU-accelerated computing power to build custom analytical applications that deliver immediate, dynamic insight. Kinetica has a rich partner ecosystem, including NVIDIA, Dell, HP, & IBM, & is privately held, backed by leading global venture capital firms Canvas Ventures, Citi Ventures, GreatPoint Ventures, & Meritech Capital Partners.

For more information & trial downloads, visit or follow us on LinkedIn & Twitter.

Job Description

We are seeking a hands-on customer-facing Pre-Sales Technical Solutions Engineer to lead the charge on the front lines of an exciting & disruptive, proven technology focused on our Federal Government vertical. Partner with Federal customers to help them power their businesses using data by designing, developing & deploying Big Data, AI & Analytics solutions on the world's fastest GPU accelerated OLAP database.


  • Engage with sales prospects where you prepare & present Kinetica's technology along with addressing any technical questions that come up during the sales cycle
  • Support the technical needs of existing customers including discovering additional use cases for Kinetica's technology
  • Work closely with the product management & engineering team to align customer requirements to future versions & products
  • Have a deep understanding of Kinetica's technology & a willingness to learn new technologies when needed
  • Be the focal point for our enterprise customers' every need & become their trusted advisor by deeply understanding their business & aligning their needs with our solutions
  • Nurture the relationship with the customer / partner through ongoing communication & periodic meetings
  • Translate business requirements & problems into solutions
  • Technical Degree (i.e. Computer Science, Computer Engineering, Information Technology)
  • 4+ years of pre-sales experience
  • Strong programming skills in any of the following languages: Java, Python or C++
  • Experience with Linux & SQL skills are a mandatory requirement.
  • Strong understanding of Big Data, Data Warehouse, Data structures, Algorithms & designing highly available systems. Ability to design & articulate enterprise architecture
  • Knowledgeable of & has strong concept on databases, data warehousing, OLAP, data architecture, & data engineering
  • Has an experience working with MPP database & big data system (Hadoop)
  • Knowledge of enterprise systems & protocols is a plus. Ex: LDAP, SSO, SSL, BI applications.
  • Experience with Machine Learning, Neural Networks is a plus
  • Knowledge in Geospatial formulas & techniques
  • Approximately 25 - 50% travel
  • TS clearance preferred

Soft Skills:

  • Great communication skills (verbal & written)
  • High-energy self-starter with a passion for data, attention to detail, & ability to work in a fast-paced environment with limited direction
Additional Information

All your information will be kept confidential according to EEO guidelines.

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