AI Product Manager Jobs in Toronto

Looking for an AI product manager job in Toronto? Choose from 24 open roles at 10 employers. Explore real salary data and skills breakdown across remote, hybrid and on-site roles.

24 Open roles
10 Companies hiring
251K Average salary

What do AI product managers in Toronto work on?

The roles on this page sit at the crossroads of product strategy and applied AI. Several postings come from identity and security products — titles reference zero trust authentication, device access, threat detection, and agent identity protocols. In the Auth0 AI and Identity role at Okta, the work centres on defining roadmaps for secure agent identity and access management, including emerging protocols such as MCP and CIBA. Developer-platform work appears too: the Staff Product Manager at MongoDB owns the Partner API vision and builds self-serve onboarding for ecosystem integrations. On the enterprise AI side, the Cohere Managed North role involves launching a self-serve offering of an enterprise AI platform to mid-market customers. Across the sample, common threads include owning roadmaps end to end, working with cross-functional engineering and go-to-market teams, engaging customers directly to validate needs, and using metrics or KPIs to guide prioritisation. The Amazon Business Canada posting and the Guidepoint Senior PM role lean more toward B2B marketplace and workflow tooling respectively, with AI integrated rather than central.

Skills and experience employers ask for

The skills table reflects mentions in posting descriptions across this sample of postings, not stated requirements. Agents and APIs appear most frequently, followed by evaluation and LLMs. Cloud platforms — Azure, AWS, and GCP — appear in a minority. Academic credentials are mentioned in very few postings, and only one mentions a PhD, so a doctoral qualification does not appear to be a broad expectation here, though the sample is small enough that patterns should be treated as indicative rather than definitive.

Agents 38%
APIs 33%
Evaluation 25%
LLMs 21%
Go 21%
Azure 13%
RAG 8%
AWS 8%
GCP 8%
Fine-tuning 4%
SQL 4%
A/B testing 4%
PhD 4%
Master's degree 4%

AI Product Manager roles that state a salary

The employers' own advertised ranges, for individual roles at different levels — not an average and not a market rate.

Toronto office, hybrid or remote?

Most postings in this collection are listed as onsite, making that the dominant arrangement stated. A small number are hybrid, and a similarly small number are fully remote. None have unknown work-mode information in these postings. Where hybrid or onsite is stated, Toronto is the implied location, though individual postings should be checked for specific office expectations. The Guidepoint posting explicitly describes itself as a hybrid Toronto role. Candidates interested in flexibility should check each posting directly, as the proportion stating remote or hybrid is a minority of what is on this page.

Make your application specific to the work

  1. Review seniority and scope These postings range from mid-level to staff and principal, and the day-to-day work differs substantially — security platform ownership sits alongside enterprise AI go-to-market and developer ecosystem roles. Identifying which domain and level fits your background before applying will help you tailor your materials.
  2. Check the pay disclosures Only a minority of postings advertise compensation ranges, and those that do are from one employer. If pay is a deciding factor, note that most postings do not state a range, so you may need to ask during the process.
  3. Prepare examples involving AI product decisions Agents, APIs, and model evaluation come up frequently in the posting descriptions, so be ready to discuss how you have owned roadmap decisions touching AI systems, even if your background is not exclusively in AI-native companies.
  4. Confirm work-mode expectations early Most postings are listed as onsite; if you need hybrid or remote arrangements, verify this directly with the employer before investing significant time in the process, as the postings on this page do not leave much ambiguity about the general preference.

Questions about AI Product Manager jobs in Toronto

The fact pack does not include sponsorship information for any of the postings, so this cannot be determined from what is shown here. You would need to check each posting directly or ask the employer.

Only three postings on this page advertise pay, all from Cohere, with ranges running from CAD 205,000 up to 320,000 depending on the role. The remaining postings do not state compensation, so those figures represent a limited slice of the sample and should not be treated as a general market benchmark.

The posting descriptions mention agents, APIs, LLMs, and evaluation fairly often, and some explicitly ask for technical expertise in areas like identity standards or infrastructure products. Academic credentials such as a master's degree or PhD appear in very few postings, so advanced degrees do not appear to be a broad expectation across this sample.

The employers represented in these postings include Okta, Cohere, MongoDB, Faire, Amazon, Guidepoint, Stripe, and Lyft, among others in the full set.

A small number of postings on this page are listed as remote, but the clear majority are onsite and a few are hybrid. If remote work is important to you, filter carefully, as it is not a common arrangement among the postings shown here.

Jobs checked 6 hours ago. · Guide reviewed 9 September 2026.