Accountabilities

Own the data foundation: Define how customer data is collected, structured, standardized, cleaned, and maintained to ensure accuracy, consistency, and reliability across analytics and AI-powered experiences.

Lead AI product development: Own the roadmap, development, and rollout of an AI-powered conversational assistant, making it easier and faster for customers to access meaningful business insights.

Drive analytics and reporting: Lead the evolution of dashboards, reporting tools, and conversational analytics, bringing these capabilities together into a unified and intuitive product experience.

Define product strategy: Collaborate with product leadership to establish strategic priorities and independently translate business objectives into actionable roadmaps and delivery plans.

Understand customer businesses: Analyze customer workflows and business operations to identify opportunities, map relevant data, and determine the insights that will create the greatest value.

Lead cross-functional execution: Partner with engineers and other stakeholders to prioritize initiatives, coordinate development, and deliver high-impact product improvements.

Drive measurable outcomes: Establish relevant success metrics, monitor product performance, and evaluate the impact of new features on customer satisfaction and business results.

Uncover actionable insights: Use business analysis, data modeling, and analytical thinking to identify non-obvious opportunities that help customers operate more effectively.

Continuously improve the experience: Gather customer insights and feedback to refine product capabilities, improve usability, and ensure solutions address real business needs.

Requirements

Education: Bachelor's degree or equivalent practical experience in a relevant field.

Product management experience: At least 5 years of experience as a Product Manager within a SaaS organization.

Product delivery: Proven track record of successfully launching product features and capabilities that generate measurable value for customers and the business.

Independent execution: Ability to take ownership, navigate ambiguity, and make meaningful progress in unfamiliar or evolving product areas.

Business acumen: Strong ability to analyze business models, understand operational performance, and identify opportunities for improvement.

Analytical capabilities: Excellent high-level and detailed analytical thinking, including the ability to connect business objectives with relevant performance metrics and translate complex data into actionable insights.

Technical understanding: Ability to work with data-driven products and understand the technical foundations behind analytics, reporting, and AI-powered solutions.

Customer-centric mindset: Strong curiosity, empathy, and commitment to understanding customer challenges and delivering practical solutions.

Communication skills: Excellent written and verbal communication, with strong storytelling abilities and the confidence to present product strategies, insights, and recommendations to stakeholders.

Additional assets: Experience working with analytics platforms, data modeling, AI-powered conversational experiences, or AI product platforms.

Benefits

Competitive compensation: Annual salary ranging from CAD 160,000 to CAD 195,000 for candidates based in Canada.

Healthcare coverage: Employer-funded HSA-based benefits plan covering prescription drugs, dental care, and mental health services.

Retirement savings: RRSP matching program to support long-term financial security.

Work-life balance: Unlimited paid time off, paid company holidays, and a company-wide winter break from December 24 to January 1.

Professional development: Personalized career development discussions and financial support for relevant tools, courses, and learning resources.

Collaborative culture: Join a supportive, innovative team that values transparency, accountability, teamwork, and continuous improvement.

Meaningful impact: Help modernize the landscaping and arboriculture industries through technology that enables small businesses to operate and grow more effectively.

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?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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