Principal Product Manager, Growth

Posted about 1 month agoViewed
156000 - 237000 CAD per year
CanadaFull-TimeDigital Operations Management
Company:PagerDuty
Location:Canada
Languages:English
Seniority level:Principal, 7+ years
Experience:7+ years
Skills:
LeadershipArtificial IntelligenceData AnalysisProduct ManagementCross-functional Team LeadershipProduct AnalyticsAgile methodologiesSaaSA/B testing
Requirements:
Deep understanding of a developer and reliability engineer as an end user. Understanding of the relationship between the core end user and the buyer. Understanding of how modern organizations experience and desire incident management products. 7+ years of product management experience, with at least 3 years focusing on growth products at PLG SaaS organizations. Proven track record optimizing conversion funnels and driving measurable growth metrics in enterprise SaaS environments. Experience with A/B testing platforms, growth analytics tools, and experimentation frameworks. Strong analytical and problem-solving skills. Matrix management experience leading engineering and design teams. Proven ability to train and enable other PMs on growth practices and experimentation methodologies.
Responsibilities:
Lead the vision, strategy, and execution for AI growth products and services. Lead vision, strategy, and execution for trial-to-paid conversion and existing customer optimization. Build and scale experimentation infrastructure and culture. Guide products through optimization cycles. Make data-driven decisions to optimize user onboarding, activation, and expansion metrics. Matrix manage engineers and UX designers focused on growth initiatives. Train and enable existing PMs on growth mindset and experimentation practices. Collaborate with pricing team on packaging strategies. Partner with Marketing, Sales, and Customer Success on product-led go-to-market strategies. Transform fragmented trial experiences into cohesive user journeys. Build in-product growth levers. Optimize product navigation and information architecture. Leverage AI capabilities for personalization and user guidance. Establish growth analytics capabilities. Design and execute A/B and multivariate testing programs. Synthesize qualitative customer feedback with quantitative experimentation results. Drive rapid iteration cycles with comfort for frequent testing and learning.
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