Kinetica helps many of the world's largest companies solve some of the world's most complex problems, including Citibank, GSK, OVO, Softbank, & Telkomsel, among others. 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 Dell, HP, IBM, NVIDIA, & Oracle, & is privately held, backed by leading global venture capital firms Canvas Ventures, Citi Ventures, GreatPoint Ventures, & Meritech Capital Partners.
Join Kinetica & help us change the way people interact with our world.
As a technical marketing engineer on the Product Marketing team, you drive customer awareness of & interest in Kinetica's solutions through your technical advocacy & hands-on technical projects.
Utilize your knowledge of customer needs & requirements to create a compelling narrative & technical content that explains the capabilities of Kinetica Active Analytics Platform to prospects.
You will help scale Kinetica's sales & marketing teams & accelerate sales cycles by developing tools, demos, solution guides, & tutorials that help customers understand how to leverage Kinetica's solutions.
You will be the voice of Kinetica's technical end-users, such as data scientists, data engineers, & application developers.
Examples of deliverables:
Reusable & repeatable product demos & demo environments in a variety of formats that showcase use cases on the Kinetica Active Analytics Platform.
Technical blogs, reference architectures, user tutorials, evaluation guides, & white papers that explain the capabilities & differentiation of Kinetica Active Analytics Platform.
Tools such as solution sizing guides & performance benchmarks.
Technical evaluations of competitive products.
Conference talks, user workshops, & booth demos at events.
Online webinars, podcasts, & interactive web experiences.
Responses to analyst technical inquiries, & maintaining a repository of answers to typical RFP questions.
- You enjoy hands-on technical development & deploying systems.
You love to write about, present, & record development & deployment of these systems.
You have strong speaking, writing, & presentation skills
You have at least 5 years overall experience in BI, analytics, big data, data warehousing, data science, or data engineering fields.
You have been in customer or field-facing roles such as product marketing, pre-sales engineering, consulting, technical training, or technical support for at least 2 years.
You have experience deploying & working with different analytics technologies such as BI platforms, reporting tools, data warehouses, data pipelining, & ETL frameworks.
You are experienced working with these tools in public clouds including AWS, GCP, & Microsoft Azure.
You have experience working with IT infrastructure including networking, containers, & Kubernetes.
You have specific experience in one more areas including AI or machine learning, streaming analytics, GIS, or geospatial application development.
You are able to travel an average of 25% of the time.
All your information will be kept confidential according to EEO guidelines.
We are committed to building a diverse team & encourage applications from people of all backgrounds