Gestionnaire de produit pilotant les analyses et données stratégiques pour le réseau de vente en gros de Lightspeed. Façonnant des outils SaaS qui aident marques et détaillants à améliorer leur rendement.
Responsibilities
Lead the product strategy for strategic wholesale sales analytics and data
Connect the roadmap to measurable outcomes for brands, retail customers, and the network
Conduct ongoing discovery with brands and retail businesses
Understand performance measurement, reporting gaps, and decision-making needs
Collaborate with Engineering and Data teams to translate complex models into clear product direction
Define success metrics, measure post-launch outcomes, and iterate based on evidence
Partner with Marketing, Customer Success, and strategic partners to drive adoption and value
Manage dependencies across adjacent product surfaces, data infrastructure, the shopping experience, and AI-powered wholesale features
Contribute to team and organizational objectives
Deliver tools that enable brands and retailers to answer critical business questions
Requirements
3+ years of product management experience
Proven track record delivering data-driven or analytics-focused products in a B2B SaaS environment
Analytical mindset and comfort with KPIs, data models, and product metrics
Experience conducting customer research, including interviews, surveys, and usability testing
Ability to translate qualitative and quantitative feedback into product direction
Effective collaboration with Engineering, Design, Data, and Marketing teams in a cross-functional, distributed environment
Strong prioritization skills and the ability to make trade-offs with incomplete information
Clear written and verbal communication skills tailored to technical teams, senior leadership, and customers
Familiarity with Agile product development practices and modern product management tools
Experience with reporting products, business intelligence (BI), or dashboards is a plus, but not required
SQL proficiency or hands-on experience working with Data teams on data models and pipelines is a plus, but not required
Understanding of wholesale, retail, or merchandising workflows is a plus, but not required
Familiarity with AI concepts or recommendation systems applied to business intelligence or analytics products is a plus, but not required
Benefits
Flexible work environment (3 days per week in the office)
A culture that celebrates performance
Opportunities to make an impact and grow professionally
Career-shaping opportunities
Flexible paid time off and remote work policies
Stock options
Retirement plan contributions
Learning and development opportunities
Health and wellness allowance
Volunteer time off
Employee resource groups and company-sponsored sports teams
Computer purchase program to acquire a personal MacBook
Enhanced parental leave
Continuous learning opportunities
International mobility
Diverse and inclusive team
Accommodations available upon request for candidates with disabilities
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