Posting record
Open 11+ days
- Petra Labs' 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 Petra Labs, so its true age is longer.
Last checked Nov 1, 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 Petra Labs
Petra Labs is building the attribution and experimentation layer for AI search. We believe the future of commerce will be shaped by AI-driven information retrieval, yet most companies lack the infrastructure to understand and capitalize on this emerging growth channel. Petra Labs uses large-scale simulations, agentic analysis, and deeply embedded integrations to turn AI search from a black box into a measurable growth channel teams can rigorously optimize and allocate spend against.
Raised $5M+ in funding from Tier-1 VCs. We work in our SoHo, New York office.
Culture
- We hire a small number of extremely talented people and give them as much ownership and autonomy as possible
- We are truth-seeking. Transparent, direct discourse is encouraged. We challenge existing beliefs in pursuit of always getting better
- We work hard and are unapologetic about the level of effort required to build a generational company
What You’ll Do
- Define and build product end-to-end. Deeply understand user needs to iterate on, deploy, and scale software, with extreme ownership
- Operate at the frontier. We tackle ambiguous, unsolved problems in AI search that require running experiments to uncover novel insights
- Design and build large-scale systems, data models, and infrastructure
You’ll Excel in This Role If You
- Can quickly and effectively decompose large, ambiguous problems and systems
- Have built real products before and are comfortable owning large technical surfaces
- Have strong fundamentals in system design and databases, with good judgment around when to move fast versus build for scale
Process
1. Hiring Manager Screen
2. Technical Interview
3. Technical Interview
4. On-Site Interview
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