Sales Engineering Co-Op

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Acceldata

201-500 employeesCampbell, CaliforniaSoftware Development
Actively hiringPaidSoftware Development
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About the role#

As a Sales Engineering Co-Op, you will support our team with solution design, pre-sales, and technical enablement. You will work directly with our sales engineering team to understand customer requirements, identify technical pain points, and help architect solutions for complex data challenges. This is a 4-month assignment based in Kitchener.

What you'll do#

  • Write, test, and deploy software solutions using Java or Scala.
  • Manage SE labs and demo instances across cloud and on-premise ecosystems.
  • Participate in the customer proposal lifecycle, including Demos, RFIs, RFPs, and POCs.
  • Build ROI models for prospects that connect technical solutions to business value.
  • Create automation scripts and go-to-market assets.
  • Adapt to new tools, languages, and platforms through continuous learning.

What you'll need#

  • Current enrollment in Computer Science, Software Engineering, or a related degree at the University of Waterloo.
  • Programming proficiency in Java, Scala, and Python.
  • Hands-on experience with Kubernetes, including deploying, managing, and scaling applications.
  • Understanding of Kubernetes concepts like Pods, Services, Deployments, and ConfigMaps.
  • Strong problem-solving and analytical abilities.
  • Excellent verbal and written communication skills for cross-functional collaboration.

Location & details#

  • Location: Kitchener, Ontario, Canada.
  • Term: Summer 2026.
  • Modality: On-site at 151 Charles Street West.
  • Status: Full-time, paid.
  • Required documents: Co-op work history, resume, and grade report.

About Acceldata

Acceldata provides an Agentic Data Management platform designed to help enterprises manage data for AI initiatives. The company operates out of Campbell, California, and maintains an additional office in Bengaluru, India. Founded in 2018, it employs 307 people. Its software supports data observability, reliability, and pipeline monitoring across hybrid cloud environments.

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