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Founding Engineer Jobs in Ontario (NOW HIRING)

Engineer, Software

Toronto, ON · On-site

CA$185K - CA$225K/yr

We're hiring a full-stack Software Engineer to help build Link's investment analytics platform. You ... Background at an AI-native company or in a product-focused founding environment * Experience in ...

Experience as an early or founding Data Scientist in a new team or product area * Hands-on portfolio optimization, assortment optimization, payout optimization, or mathematical programming

Nice to have RXJava, functional programming, MVP\/MVC design patterns and React Native. \n * Nice ... You will be joining a founding team first and a large organisation second. This is exciting, you ...

Showing results 41-60

Founding Engineer information

See Ontario salary details

$33.5K

$142.7K

$200K

How much do founding engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for founding engineer in Ontario is $142,662.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,500.00 and $160,500.00 per year, depending on experience, location, and employer.

What is a founding engineer?

A Founding Engineer is one of the first technical hires at a startup, responsible for building the company's core products and setting the foundation for its technology stack. They work closely with the founders, making key architectural decisions, writing production-ready code, and often wearing multiple hats across engineering, product, and strategy. This role requires a mix of deep technical expertise, problem-solving skills, and adaptability to thrive in a fast-paced, early-stage environment.

What are the biggest challenges a founding engineer typically faces at an early-stage startup?

As a Founding Engineer, you’ll often be tasked with building a product from the ground up while balancing rapid development with long-term technical vision. Resource constraints and evolving product requirements can require creative problem-solving and the ability to prioritize effectively. You’ll work closely with the founding team, making pivotal decisions that shape both technology and culture, so adaptability and a hands-on approach are important. While the environment can be demanding and ambiguous, it also offers unique opportunities to learn, take ownership, and have a major impact on the success of the company.

What are the key skills and qualifications needed to thrive in the founding engineer position, and why are they important?

To thrive as a Founding Engineer, you need deep expertise in software development, system architecture, and product design, typically backed by experience with startups or building products from scratch. Familiarity with modern programming languages, cloud platforms, and agile tools such as Git, AWS, and Jira is often essential. Exceptional problem-solving, strong ownership mentality, and the ability to communicate clearly in fast-paced, unstructured environments set standout candidates apart. These skills are crucial because Founding Engineers must quickly turn vision into reality, adapt to changing needs, and help establish the technical foundation of a new company.

What are the most commonly searched types of Founding Engineer jobs in Ontario?

The most popular types of Founding Engineer jobs in Ontario are:

What are popular job titles related to Founding Engineer jobs in Ontario?

For Founding Engineer jobs in Ontario, the most frequently searched job titles are:

Infographic showing various Founding Engineer job openings in Ontario as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $142,662 per year, or $68.6 per hour.

Technical Co-founder (CTO) - AI Collections Agent

FutureSight

Toronto, ON • On-site

Full-time

Re-posted 23 hours ago


Key responsibilities

  • Take ownership of product development by building and maintaining production code, setting technical direction, and leading end-to-end execution.

  • Harden the voice and workflow systems to ensure in-production reliability, establish architecture standards, and implement observability and audit-trail mechanisms.

  • Develop and manage the integration layer with accounting and ERP systems (such as QuickBooks and Xero) to embed the product into existing finance stacks.


Job description

The Opportunity

Finance teams at B2B companies lose cash the same way every month: an invoice ages past 45 days, someone sends an email, no reply, someone calls, voicemail, they call again next week, still nothing. AR teams spend 60-70% of their week on manual follow-up instead of posting cash, closing disputes, or analyzing aging. Adding headcount doesn't fix it; manual follow-up simply doesn't scale, and every ERP hits the same wall.

Problem and solution validation are complete. Live pilots are running with early design partners and entering production evaluation. The next phase is proving in-production reliability, delivery economics, and scalability. The teams that ship credible AI workers into finance-sensitive functions in the next 18 months will define the category. We intend to be one of them.

The Venture

Argentl delivers an AI collections agent that handles outbound debtor follow-up automatically - trained, monitored, and continuously improved by our team. Rather than another self-serve SaaS tool, Argentl is evaluated on outcomes: DSO reduction, hours returned to the AR team, and cash commitments captured - not configuration effort.

Give us a list of overdue accounts and our voice agent calls each debtor, confirms invoice awareness, and captures exactly what they say - a payment commitment, a dispute, a request to split, or silence. The AR team gets a clean morning report: who's committed, who's disputing, who's gone silent, and what to do next. No ERP migration, no system credentials, no workflow overhaul - we're calling within a week of receiving the data. The roadmap expands from collections follow-up into adjacent AI finance-ops roles, all delivered through the same managed model.

The Partnership

The CEO co-founder is in place. The customer thesis is validated, design partners are engaged, and live pilots are running. What remains is to bring on the technical co-founder - a partner who will own product and engineering with the same conviction, urgency, and ownership stake.

This is a co-founder role, not a CTO hire. In return for that level of commitment, you receive founder-level equity, founder-level authority with co-decision rights on product, technology, hiring, fundraising, and strategy, and a genuine partnership with the CEO on every material decision.

What you'll own

As Co-Founder & CTO, you will take over the production code and continue building the product (the first lines of production code), set the technical direction, and lead execution end-to-end.

  • Architecture & Reliability - Harden the voice and workflow systems for in-production reliability. Establish core architecture, observability, and audit-trail standards for a product that speaks to customers' debtors on their behalf.
  • Delivery Layer - Build the internal infrastructure that lets the team configure, monitor, and optimize agent performance without scaling engineering headcount. Mature the workflow engine so every call, intent classification, and next-action flows through reliably.
  • Integrations & Distribution - Own the accounting and ERP integration layer (QuickBooks, Xero, and beyond) that turns Argentl from a CSV upload into an embedded part of the finance stack - the primary distribution unlock.
  • Unit Economics - Own the trade-offs between AI quality and cost-per-call, and lock in unit economics within a productized monthly pricing model.
  • Customer & Market - Represent the company in front of finance leaders, partners, and investors as the technical voice of the venture.
  • Roadmap - Convert pilots into paying customers, expand the AI staff beyond collections, and begin a path toward custom and self-hosted models where data-privacy and financial-compliance requirements demand it.
  • Team - Recruit and lead the founding engineering team, and establish the cultural foundation of the company
Co-Founder Profile

Must Have:

  • Shipped LLM-powered and voice systems into production environments where incorrect outputs carried real consequences
  • Full-stack confidence across applied LLMs, real-time voice and conversational AI, telephony, human-in-the-loop workflows, observability, and secure multi-tenant SaaS
  • Well-formed convictions about reliability engineering, edge-case management, and the trade-offs between AI quality and cost-per-call
  • Experience building managed and service-heavy platforms, with the discipline to scale delivery without scaling engineering headcount
  • Prepared to operate as a principal - including saying "this won't scale" or "this isn't ready" when the integrity of the product requires it
  • A hands-on builder - you still write code and ship, and you're happiest close to the product

Great to Have:

  • Finance, accounting, or FinOps background - you understand AR, DSO, aging, disputes, and how finance teams actually work
  • Based in Los Angeles or the San Francisco Bay Area (or ready to be)
  • Pragmatic and creative - a solution finder who gets to "working" fast and iterates from there
  • Co-operative, strategic, and hands-on in equal measure
  • Capable and willing to help in finding and closing early customer partnerships
  • An active social media presence you can put to work for founder-led distribution
How to Apply

Please submit your resume, LinkedIn profile, and a brief note on why this venture aligns with your goals as a founder. We will move quickly for the right candidate.

FutureSight is committed to diversity, equity, and inclusion. We welcome applicants of all backgrounds and experiences.