Accountabilities:

End-to-end product ownership: Lead a strategic area of the platform from discovery and problem definition to product development, launch, and performance evaluation. Take accountability for business outcomes and customer impact, not simply delivery milestones.
Customer discovery and research: Maintain close relationships with restaurant operators and marketing professionals through regular conversations. Analyze customer feedback, sales calls, support interactions, CRM records, product analytics, and usage data to identify meaningful needs and opportunities.
Product strategy and prioritization: Translate customer insights and business signals into clear product strategies, requirements, and roadmaps. Collaborate with Customer Success, Sales, Marketing, Finance, Partnerships, Engineering, and Data teams to prioritize initiatives based on measurable value and organizational objectives.
Rapid prototyping and product development: Transform customer feedback into product concepts, specifications, and functional prototypes that can be tested quickly with customers. Drive iterative development cycles, gathering feedback and refining solutions before full implementation.
AI-native product innovation: Design and develop AI-powered product experiences, including intelligent segmentation, automated customer recovery, campaign recommendations, merchant analytics, and agentic capabilities. Help determine how AI-driven intelligence can create value and build customer trust.
Agentic development and collaboration: Work directly with AI coding agents and development tools to translate precise specifications into implementation-ready tasks. Review AI-generated outputs, assess technical quality, identify shortcomings, and collaborate with engineers to ensure reliable delivery.
Data-driven product experiences: Leverage order, loyalty, customer, and behavioral data across multiple brands to develop actionable insights and improve merchant decision-making. Help transform complex datasets into meaningful product capabilities.
Product development process improvement: Contribute to the evolution of internal AI-powered product workflows, tools, templates, agent capabilities, and quality standards. Identify opportunities to improve speed, consistency, and collaboration across the product organization.

Requirements

At least 5 years of product management experience, with a proven track record of successfully launching and scaling products used by real customers. Experience in B2B SaaS environments, particularly data-intensive platforms, is highly valued.
Hands-on experience with AI-powered development tools and agentic workflows, such as Claude Code, Codex, or comparable solutions. Ability to independently build prototypes, scripts, and workflows using these technologies.
Strong customer-centric mindset, with the ability to distinguish individual requests from broader customer needs and identify meaningful patterns through qualitative and quantitative research.
Technical fluency, including the ability to understand database schemas, write queries, follow pull requests, and engage confidently with engineers on technical decisions and implementation trade-offs.
Excellent written communication and structured thinking skills, with the ability to create clear, detailed product specifications that can guide both human teams and AI agents.
Strong strategic judgment and analytical capabilities, with the ability to make evidence-based decisions, evaluate product performance, and connect product initiatives to business outcomes.
High ownership and autonomy, with the ability to operate effectively in ambiguous environments, manage competing priorities, and move initiatives forward with limited supervision.
Strong collaboration and stakeholder management skills, with the ability to build alignment across technical and non-technical teams.
Based in Canada or the United States, with the ability to work remotely within North America.

Nice to have

Experience in the restaurant, retail, commerce, or hospitality industries, particularly with POS systems, digital ordering, loyalty platforms, or marketing technology.

How Jobgether works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

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