Posting record
Open 12+ days
- Sable's site dates the posting
- Ghostless first sees this listing
- Last checked: still up
How we know
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 Sable, so its true age is longer.
Last checked Nov 2, 2026.
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Upload your resumeWhat the posting discloses
Not stated: Pay, real vacancy, AI screening.
Why these three
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
Some employers add pay only on their own site. Check the original posting before you rule it out.
Skills mentioned
About the role
About Sable
Sable built Aidan, the first AI employee who can lead customer calls using realtime voice, vision, and browser use. Aidan runs a live, two-way conversation inside a real product environment, clicking through the product like a human, watching the user's screen, and adapting the journey on the fly. Every conversation feeds a self-improving context graph we call the Brain, so Aidan gets smarter with each call.
The role
You own a customer end to end from the engineering side. You join calls with customers, watch where Aidan could improve inside their product, and find the technical breakthroughs: sometimes in the customer's configuration, sometimes in the tooling, and sometimes in the agent itself. You work in a pair with a Deployment Strategist who owns the customer's context and journeys; you own everything that needs code. When the fix belongs in the core agent, you bring the agent team a reproduced case and a proposed change, not a vague report.
What you'll do
- Be the engineer assigned to a set of accounts, from first scoping call to live implementation
- Build the tooling that makes deployments faster: replay, evaluation, configuration, integrations into the customer's stack
- Coordinate development with the agent team.
- Turn what you learn on each account into playbooks so the next deployment needs less of you
Who you are
- Strong software engineer, comfortable across backend, browser automation, and LLM-based systems
- You like working directly with customers and leading technical discussions when necessary
- You have shipped at a startup or as a founder, or have been in a forward deployed or solutions role
- Bonus: hands-on agent, prompt, or evaluation work; experience with voice or realtime systems
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