About this role
Nylas is hiring a remote Product Manager based out of Toronto, Ontario to guide the next generation of communication data integration. This full-time opportunity is ideal for an experienced professional with a builder mindset who wants to shape AI-powered developer tools.
Role Overview
The Product Manager will spearhead the evolution of the product portfolio with a focus on unlocking AI utility and agent communication workflows. Operating with end-to-end ownership, the individual will drive discovery, execution, and scaling while collaborating closely with engineering and marketing teams.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
The estimated base salary range for this position is $120,000 to $160,000 CAD per year. Actual compensation is determined objectively based on individual qualifications, skills, experience, and abilities.
About the Company
Nylas provides APIs that help developers easily and securely embed email, calendar, and contact management into applications. Supporting over 100,000 developers and more than 900 global companies across sectors like healthcare and education, Nylas simplifies complex communication app development.
How to Apply
Interested candidates should visit the official Nylas careers page to submit an application for this remote position.
Skills and tech stack
Questions candidates ask
What is the salary range for the Product Manager role?
The estimated base salary ranges from $120,000 to $160,000 CAD annually, determined by individual qualifications and experience.
Where is this position located?
This is a remote position based out of Toronto, Ontario, though candidates must reside in a province where Nylas is registered as an employer.
How much experience is required?
Candidates must have at least 3 years of product management experience working on technical products, along with a background in software engineering or technical development.
What technical knowledge is expected for this role?
Candidates need a strong understanding of the AI landscape, including concepts like LLMs, agents, embeddings, and RAG, alongside developer empathy and API familiarity.
What does the interview process look like?
The interview process includes an initial 30-minute introductory call, a take-home assignment with a 60-minute presentation, and a final loop of 45-minute team chats.