Checking today's postings…
Checking today's postings…
Open 6+ days
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking General Magic, so its true age is longer.
Last checked Nov 3, 2026.
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Upload your resume$130K–$200K CAD base salary, depending on experience, plus equity (quoted from the posting)
Not stated: Real vacancy, AI screening.
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
Who we are
For decades, insurance software has been built around rigid forms, portals and call centers that create friction for customers and slow teams down. Even as AI has advanced, most insurance work remains manual and spread across disconnected systems.
General Magic builds AI agents that handle quoting, customer service, underwriting, follow-ups and broker communication, connected directly to carrier, MGA and broker systems. We've raised $7.2M USD from Radical Ventures, a16z and several AI leaders.
We reward people who thrive with high autonomy, love shipping quickly and want real ownership. We work onsite in Toronto five days a week.
The role
You'll work directly with insurance brokerages and carriers to turn complex, real-world workflows into working AI products, taking them from an initial customer conversation to production.
We're looking for a Forward Deployed Engineer who enjoys solving problems that don't come with clear instructions. You'll work closely with customers to understand how their businesses operate, build AI workflows around their needs and make sure those solutions work in production. We're a flat team where engineers own their work, challenge assumptions and help shape what gets built. You'll work directly with the founders and customers, taking ownership of everything from understanding the problem to delivering the solution.
Something wrong with this posting?
Experience in insurance or insurtech, building evaluation systems and fine-tuning models is a plus but not a core requirement.