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Trevor Buteau, MSc

Trevor Buteau, MSc is the Senior Product Manager at PlanetBids and Cofounder of Dungeon Call Games, with over 8 years of experience in product management, artificial intelligence research, and data analytics. They are known for their expertise in building data-driven products that serve both technical and non-technical audiences, specializing in analytics platforms, machine learning applications, and IoT device monitoring systems.

As Senior Product Manager at PlanetBids, Trevor leads the product development for the leading standalone digital procurement solution for local governments, utilities, transportation, public works, and education. PlanetBids offers customized procurement solutions for bid and vendor management to state and local public agencies across the nation.

Since August 2024, Trevor has been instrumental in advancing the platform’s capabilities for automating workflows, managing vendor data, and simplifying sourcing processes that help public agencies save time and maintain compliance with regulatory requirements. The platform serves thousands of users across government agencies and manages procurement processes worth billions of dollars annually.

As Cofounder of Dungeon Call Games since June 2021, Trevor leads a cooperative team building the world’s first premium virtual Game Mastering service for TTRPGs (tabletop role-playing games). They define business-level OKRs, oversee revenue model optimization, competitive analysis, and feature development while managing the company’s internal training and skill development programs.

Previously, Trevor served as Product Manager at Memfault from 2023 to 2024, where they owned the product roadmap for MCU, Android, and Linux SDKs. Memfault works on any embedded device, supports any connectivity setup, and won’t drain battery or consume compute resources. During their tenure, they shipped a revolutionary Firmware Integration Experience that reduced customer integration timelines from weeks to as little as five minutes, coordinating the efforts of five different development teams. Watch How to Create an IoT Monitoring Dashboard: Tips & Examples.

Between March 2022 and February 2023, Trevor was Senior Product Manager at Huge, where they shipped front and back-end overhauls of billion-dollar e-commerce experiences, digital infrastructure, CMS, and more. They demonstrated exceptional agility by rapidly self-onboarding onto five different client projects and delivering value in as little as one week.

At Babyscripts from March 2021 to March 2022, Trevor served as Senior Technical Product Manager, prioritizing feature development for the nation’s premier remote obstetrics and maternity care platform. They owned the “Maternal Population Health” feature, enabling Care Management teams to perform detailed risk assessment. They also led the discovery of brand new product lines and mentored other Product Managers through the discovery process.

From 2019 to 2020, Trevor worked as Technical Product Manager at iCIMS, where they shipped an industry-first Analytics product for talent acquisition teams. This product combined data from multiple SaaS products, delivering ROI metrics and Full-Funnel Velocity analysis that enabled savings of more than $0.5 billion annually for the customer base.

Trevor has an extensive background with Apple, where they worked for over 8 years in various roles from 2009 to 2018. As a Creative from March 2014 to March 2017, they facilitated over fifteen hundred 30, 60, or 90-minute training sessions for OneToOne Members learning to use Apple hardware and software. As a Technical Specialist from March 2017 to April 2018, they troubleshot Apple products and facilitated over 6,000 Genius Bar sessions.

Trevor’s academic research has gained international recognition. At the ACM SIGCHI International Conference on Multimodal Interaction (ICMI) 2018 in Boulder, Colorado, they presented original work based on their Master’s thesis.

The research involved creating a machine learning system capable of predicting a user’s emotions or thoughts based on contextual clues, incorporating the Theory of Constructed Emotions. The system analyzed and predicted player behavior in games of Heads Up No-Limit Texas Hold ‘em Poker, leveraging open-source software for computer vision and poker game elements. This work was also featured in their award-winning Three Minute Thesis presentation at Fordham University.

Trevor earned their Master of Science degree in Computer Science from Fordham University in 2018, with a concentration in Artificial Intelligence, Machine Learning, and Data Analytics. During their graduate studies, they worked as a Backend Developer for The Fordham Foundry in 2018, serving as the sole backend developer on a team creating an iOS application to foster the growth of Fordham University’s entrepreneurship community hub. They earned their Bachelor of Fine Arts degree in Theatre with a Double Major in Psychology from New York University in 2011, where they participated in multiple theatre and film projects.

Between 2013 and 2016, Trevor served as a Core Company Member and Executive Co-Creator at Playing with Reality, where they wrote and directed interactive live performances featuring unrehearsed audience members as the main characters. They also served as Executive Co-Creator of Survive! Survive! in 2013, leading a team of over fifty people in creating a one-of-a-kind immersive theatre experience in Manhattan that combined elements of Sleep No More and The Walking Dead.

Trevor has received numerous honors and awards, including the People’s Choice Award at the Three Minute Thesis Competition and selection as a Conference Presenter at ACM SIGCHI ICMI 2018. They have also been an active volunteer, serving as Founding Volunteer for AllClear since March 2020, a nonprofit organization based in NYC dedicated to empowering communities with technology and data to overcome COVID-19.

Trevor’s technical expertise spans multiple programming languages and tools, with their GitHub profile (b1t3s1z3) showcasing projects including the RIKER Thesis Project, a machine-learning system for poker behavior prediction, and contributions to various open-source initiatives.

They have also contributed to the Fordham Foundry App and other collaborative development projects. Read Building Better Firmware with Continuous Integration and MCU OTA Integration Guide.

Visit their LinkedIn profile, GitHub page, and Memfault author page.