Senior Product Manager

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.

• Remote flexibility: Work remotely in a collaborative environment that encourages autonomy, ownership, and professional growth.