Senior Product Manager - LPO & Analytics

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Product Manager - LPO & Analytics based in Canada.
As a Senior Product Manager, you will lead two strategically important product portfolios:
Location Performance Optimization (LPO) and Analytics, with a primary focus on building best-in-class analytics experiences. You will translate complex data capabilities into intuitive reporting and insights that help multi-location brands make better business decisions. Alongside this, you will shape conversion-focused products that connect local search visibility with measurable business outcomes. Working with engineering, data, design, and commercial teams, you will define product strategy and drive execution across multiple squads.

This is a high-visibility, autonomous role requiring strong technical understanding, commercial awareness, and exceptional product judgment. You will have the opportunity to influence platform strategy, introduce meaningful AI-powered capabilities, and deliver measurable value in a globally distributed B2B SaaS environment.
Accountabilities:
End-to-End Product Ownership:  Lead the complete product lifecycle across the Analytics and Location Performance Optimization (LPO) portfolios, from discovery and product vision to development, launch, adoption, and continuous improvement.
Product Strategy and

Roadmap:

Define and communicate a clear product strategy that balances long-term platform development, customer needs, market opportunities, and short-term commercial priorities.
Analytics Product Development:  Drive the evolution of the platform's analytics and reporting capabilities, creating intuitive dashboards, data visualizations, and actionable insights that help customers understand and improve business performance.
Technical

Collaboration:

Work closely with engineering and data teams on event tracking, instrumentation, data models, APIs, pipelines, and analytics infrastructure to ensure reliable and scalable product capabilities.
LPO Portfolio Management:  Guide the development of conversion-focused and SEO-driven solutions that help multi-location brands transform local search visibility into measurable foot traffic, leads, and revenue.
Customer Discovery:  Conduct ongoing research with customers and internal stakeholders through interviews, usability testing, quantitative analysis, and market research to identify opportunities and validate product hypotheses.
Agile Delivery and Prioritization:  Manage product backlogs and priorities across two squads, translating complex business and technical requirements into clear user stories, acceptance criteria, and actionable development plans.
Performance Measurement:  Define and monitor key SaaS performance indicators, including product adoption, retention, net revenue retention (NRR), and conversion impact, using data to guide decisions and communicate progress to leadership.
Cross-Functional Leadership:  Collaborate with engineering, design, data, marketing, sales, and customer success teams across multiple regions to ensure alignment and successful product delivery.
AI Integration:  Leverage AI tools to improve daily productivity and identify opportunities to integrate AI-powered capabilities into the Analytics and LPO product portfolios where they deliver meaningful customer value.
Strategic Communication:  Present product recommendations, prioritization decisions, and performance insights to executive stakeholders through concise, compelling, data-driven communication.
Continuous Improvement:  Identify opportunities for product repositioning, platform modernization, and process improvements while promoting effective product practices across the organization.
Requirements:
Proven experience as a Product Manager, with a strong track record in analytics, business intelligence (BI), data-heavy products, or reporting platforms. This is the primary requirement.
Demonstrated experience delivering analytics products, including reporting interfaces, dashboards, data visualization tools, and customer-facing insights.
Strong technical understanding of product analytics infrastructure, including event tracking, instrumentation, data flows, data models, APIs, and pipelines.
Hands-on familiarity with analytics platforms and tools such as Amplitude, Mixpanel, or equivalent solutions.
Ability to engage confidently in technical discussions with engineering and data teams and translate complex…