Richard Bilson

Observer
DISC Type : ic

Head of AI Engineering at Kubex

Kitchener, Ontario, Canada

Overview

Richard is the Head of AI Engineering at Kubex, specializing in system architecture and data engineering. With a background from the University of Waterloo, his career has focused on impactful technologies like Apache Kafka and Flink, notably modernizing platforms at Auvik Networks before his current role in AI.

Outside of his professional work, Richard has a deep-seated passion for coding, which he applies to personal projects, such as automating parts of his life. During his university years, he was an editor for the student publication mathNEWS, showing an early interest in technical communication and writing.

He has observed that one of the biggest lessons from his work in AI is how severely underutilized many of the worlds expensive GPUs are.

Personality Overview

Curious

Value Driven

Example Seeker

They can sound friendly and charming but can quickly change gears to become inquisitive and probing.  They often ask many questions and rely heavily on information and documentation. They are generally strong communicators and are not easy to convince.

Topics They Care About

GPU Optimization
His current role and recent commentary focus on optimizing complex Kubernetes and GPU resources to improve efficiency and reduce cost for AI workloads.
Stream Processing
Has extensive experience defining new platform architectures using modern stream processing tools like Apache Kafka and Apache Flink during his time as Technical Director.
System Architecture
A core specialty throughout his career, he has led architecture definition for data ingestion pipelines, microservices, and large-scale system designs.

Media Appearances

Richard has no verified media appearances

Work History

6-2025
Head of AI Engineering at Kubex
4-2021 - 2-2025
Technical Director at Auvik Networks Inc.
10-2019 - 4-2021
Technical Lead at Auvik Networks Inc.
10-2017 - 10-2019
Manager, Engineering at Auvik Networks Inc.
8-2011 - 8-2015
Software Developer at QNX Software Systems

Education

2000 - 2003
M. Math from University of Waterloo
1995 - 2000
B. Math from University of Waterloo

More Information

Social Presence :

Prographics :

Exp : 20 Location : Kitchener, Ontario, Canada Job Level : Mid-senior Designation : Head of AI Engineering at Kubex
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Insights For Selling To Richard

During A Call Or A Meeting

DO's

  • Focus on immediate action-items rather than the larger goals
  • Persuade objectively how your product will help them achieve their goals
  • Invite them for a social do but don’t rely solely on the relationship

DONT's

  • Don’t brush off any concerns, take all questions seriously
  • Don’t rely excessively on your relationship with them to win the deal
  • Avoid making offhand commitments

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Richard is

  • Clear proof of product value matters to them, followed by others' testimonials and rapport.
  • Will you ever get a clear answer from Richard

  • They are practical yet friendly, don’t expect a clear no very often.

Insights For Deal Planning

    How fast (or slow) will Richard move?

  • They like to analyze well and can take their time to reach any decisions.
  • Can Richard take some risk or not?

  • They systematically evaluate all decisions and are unlikely to take many risks.

You And Richard

Personality Compatibility


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