Technical Co-founder (CTO) - AI for Automotive Retail

Queen's Park, City of Toronto

On-site

Full-time

No salary postedToday

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Employment type: Full-time · On-site
Posted: October 16, 2026
Province: Ontario (ON)

Hiring confidence: Sparse posting · 7/100

This posting is missing most of the signals we look for, or shows patterns common to listings that are not actively being filled. Check with the employer before applying. How this is scored

Job Overview

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The Opportunity Every used-car dealer's profit is made or lost the moment they buy the car — not when they sell it. That decision runs on gut feel, spreadsheets, and whoever has a spare hour, inside a $500B industry that hasn't meaningfully modernized how it buys. We think that's an AI-native category waiting to be built, and we're going first. The problem and solution are validated with a domain co-founder who lives this daily and has already hand The Venture Atrium is an always-on AI workforc…

This role is based in Ontario. FutureSight Ventures is hiring for this full-time position through Jobily, where you can check how well your resume matches the posting before you apply.

Market context

About this role in Ontario

Average salary for Technical Co-founder (CTO) - AI for Automotive Retail in Ontario

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NOC code

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Typical qualifications for Canadian employers

Co-founder mentality and equity partnership
Strong technical foundation in AI/ML
Proven experience building scalable systems
Ability to lead and build engineering teams
Experience in early-stage startups or scaling companies

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What you'll do

Lead all technical strategy and architecture decisions
Build and scale the engineering team
Own product development roadmap and execution
Design AI-native solutions for automotive retail buying process
Develop core technology platform for vehicle valuation and procurement
Partner with domain co-founder on go-to-market strategy
Establish technical culture and best practices
Manage technical debt and system scalability

What you'll need

Co-founder mentality and equity partnership
Strong technical foundation in AI/ML
Proven experience building scalable systems
Ability to lead and build engineering teams
Experience in early-stage startups or scaling companies
Domain knowledge in automotive, retail, or related B2B SaaS preferred
Entrepreneurial mindset with tolerance for ambiguity