Lead Product Manager, Agentic Personalization

CanadaRemoteFull-timelead

Product ManagementProduct Manager

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Quick Summary

Overview

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead Product Manager, Agentic Personalization based in Canada.

Technical Tools

Product ManagementProduct Manager

This is a founding product leadership opportunity focused on creating a new generation of AI-powered personalization for web and mobile experiences.
You will define a product that enables enterprise teams to automate audience selection, content creation, experimentation, and optimization through intelligent agents.
The role combines zero-to-one product development, technical strategy, customer discovery, and commercial ownership.
You will work directly with senior leadership while partnering closely with engineering, design, sales, and customer success.
A key focus will be designing agent workflows that balance autonomous execution with appropriate human oversight and trust.
You will help establish product-market fit, shape the roadmap, and connect product decisions directly to revenue and growth objectives.
This is a high-visibility, high-autonomy role suited to a product leader who thrives in ambiguity and moves quickly.

Define the product vision, strategy, roadmap, and sequencing for an AI-powered personalization platform, from initial concept through product-market fit and scale.
Conduct deep customer discovery with enterprise product and growth teams to understand current personalization workflows, pain points, trust requirements, and opportunities for automation.
Translate customer insights into a focused roadmap tied to measurable revenue and business milestones.
Design the agent experience, determining which activities can be handled autonomously—such as audience creation, content variants, experimentation, and traffic allocation—and which require human approval.
Develop feedback and learning loops that progressively improve agent performance, reliability, and customer trust.
Partner closely with engineering and design to make informed product decisions around real-time data, infrastructure, caching, experimentation, and other technical trade-offs.
Co-own go-to-market activities, including pipeline development, customer conversations, competitive positioning, and product messaging.
Work with customer success to create implementation playbooks and ensure customers can successfully adopt and scale the product.
Collaborate across engineering, design, sales, customer success, and executive leadership to create clarity and maintain execution speed in an ambiguous environment.

Requirements

~1 min read

Demonstrated zero-to-one product management experience, with a track record of taking products from an initial concept to meaningful revenue or adoption, ideally within B2B SaaS.
Strong technical depth and the ability to evaluate architecture and infrastructure trade-offs at the product level, including real-time versus batch processing and caching strategies.
Strong commercial judgment, with the ability to connect product roadmaps to pipeline generation, conversion, expansion, and revenue targets.
Experience working effectively in small, autonomous teams where priorities evolve quickly and product leaders are expected to take significant ownership.
Strong customer discovery and product-market-fit skills, with the ability to turn ambiguous customer problems into clear product opportunities.
Experience working with AI, machine learning, automation, or agent-based products is highly valuable.
Exceptional cross-functional leadership skills and the ability to build trust with engineers, designers, sales teams, customer success, and executives.
Excellent communication, strategic thinking, and decision-making skills, particularly when balancing automation with human oversight.
Intellectual curiosity and enthusiasm for emerging AI technologies and their practical application to enterprise workflows.
A hands-on, highly adaptable approach and a willingness to use AI extensively to accelerate product discovery, execution, and decision-making.