First look / 01 · September 16, 2026
The title gets you to the posting. The responsibility tells you whether it belongs in your search.
This first look focuses on AI delivery, adoption and business workflows. Some roles emphasize people and processes, some require platform configuration, and some need substantial software engineering. We call out the difference.
Read the location and technical requirements before investing in an application. Canada eligibility can be province-specific, and an Engineer title can describe configuration work or production software.
The shortlist
Employer sources checked September 16. This is a first-look sample, not a delivered newsletter issue.
Remote · United States
Lead client adoption programs through workshops, training and practical workflow guidance. This combines facilitation with technical fluency and measurable business outcomes.
Remote · United States or Canada
Own client AI transformation engagements from discovery through implementation. The work combines executive communication, roadmaps and hands-on prototyping.
San Francisco, California · Hybrid
Manage complex customer deployments of Fin, combining project leadership with hands-on platform configuration and a clear time-to-value target.
New York office · United States
Deliver customer AI solutions through configuration and integrations, with a client-facing focus on usable outcomes.
Denver, New York or San Francisco · Hybrid
Redesign People Operations workflows and lead HRIS and service-delivery teams. AI is one part of a broader operational transformation mandate.
Toronto · Canada
Govern the knowledge used by deployed AI agents, with a focus on reliable operational use.
Remote · Canada
Design and build AI systems for go-to-market workflows. The business focus sits alongside substantial software and agent-system engineering.
Remote · British Columbia, Canada
Apply AI and automation to internal audit and risk workflows, initially focused on SOX controls testing.
Show the workflow, your contribution, the review steps and the result. A clear prototype with honest limits is more useful than an unexplained AI demo.