Senior Product Manager, Cloud, AI & Strategic Partnerships
About this role
This role suits an experienced enterprise product manager with a strong technical background in cloud-native architectures who wants to lead ecosystem strategy in Toronto, Canada. Litmus is hiring a Senior Product Manager, Cloud, AI & Strategic Partnerships to own the end-to-end lifecycle of cloud and AI marketplace integrations.
Role Overview
As a Senior Product Manager, Cloud Ecosystem & AI Partnerships at Litmus in Toronto, Canada, the candidate will own the product lifecycle across major cloud, AI, and data marketplaces such as AWS, Microsoft Azure, Google Cloud, Oracle Cloud, Databricks, Snowflake, and Dell. The position involves driving strategic original equipment manufacturer (OEM) and white-label partnerships with organizations like Belden, SLB, Emerson, and Google. The professional will translate market needs into product strategy, manage marketplace listings, define cloud-native deployment experiences, and shape future AI marketplace offerings.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
About the Company
Litmus is a growth-stage software company building the data foundation that powers industrial AI. The organization helps manufacturers access, structure, and use real-time operational data from machines, systems, and sensors at the edge. Litmus is backed by leading investors and trusted by global manufacturers and partners like Google, Microsoft, Dell, Oracle, and Mitsubishi.
How to Apply
Candidates should apply on the official company careers page.
Skills and tech stack
Questions candidates ask
What is the location of this job?
The role is located in Toronto, Canada.
How many years of experience are required?
Candidates must have 5+ years of product management experience in enterprise software, cloud platforms, industrial software, or related technologies.
What partners will the Senior Product Manager work with?
The role involves working with cloud and technology partners such as AWS, Microsoft Azure, Google Cloud, Oracle Cloud, Databricks, Snowflake, Dell, Belden, SLB, and Emerson.
What technical knowledge is expected for this position?
Candidates need a strong technical understanding of Kubernetes, containers, APIs, cloud-native architectures, and system integrations.
Is industrial IoT experience mandatory?
Industrial IoT, edge computing, or manufacturing software experience is listed as a nice-to-have qualification rather than a strict requirement.