Principal Product Manager, Growth

PagerDuty is seeking a Principal Product Manager to lead our AI growth initiatives. In this pivotal role, you'll shape the future of our enterprise SaaS products by leading the vision, strategy, and execution of innovative solutions that leverage Machine Learning and Large Language Models. You will collaborate with data scientists, engineers, and designers to transform ambiguous projects into exceptional customer experiences, while working closely with Marketing, Sales, and Customer Success teams to define and execute successful go-to-market strategies. Your analytical mindset and ability to synthesize qualitative feedback with data-driven insights will be crucial as you guide products through Beta, Early Access, and General Access stages, making strategic decisions to optimize impact. The ideal candidate excels at translating complex concepts into clear strategies, demonstrates strong business acumen, and thrives in fast-paced environments while managing multiple priorities. Your proven track record of fostering inclusive collaboration and exceptional stakeholder management skills will be essential as you align diverse teams around a shared vision and drive product adoption and growth.

This role is expected to come into our Toronto office 1 day per month, so you can thrive in your new role and fully embrace being a Dutonian!

Key Responsibilities: 

• Lead the vision, strategy, and execution for AI growth products and services.
• Align and get buy-in from executive stakeholders around a product roadmap that distills company strategy with qualitative and quantitative customer data, market trends, and competitive insights. 
• You will collaboratively work with data scientists, engineers, designers, and product managers to take ambiguous projects and mold them into amazing experiences to delight our customers. 
• You are passionate about leveraging user-centric approaches to drive product adoption and growth while also working collaboratively with Marketing, Sales and Customer Success to define and execute successful go-to-market strategies for the products you deliver and manage.
• Guide the product through Beta, Early Access, and General Access stages, setting clear success criteria and stage-gates for each leg of the journey, making data-driven decisions to optimize and drive maximal impact. 
• Comfortable navigating fast-paced environments, making rapid progress, and aligning diverse stakeholders around a shared vision.

Basic Qualifications:

• 7+ years of product management experience, with at least 3 years focusing on data-led growth products at SaaS organizations
• Experience building enterprise-grade products that leverage Machine Learning or Large Language Models.
• Proven analytical and problem-solving skills, ideally with a background in data product management: pipelines, ingestion, modeling, governance, and APIs
• Strong business acumen and customer empathy with the ability to synthesize qualitative customer feedback with data-led insights (A/B and multivariate testing) to ruthlessly prioritize based on impact.

Preferred Qualifications:

• Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.
• Strong planning skills with the ability to break down complex problems and align stakeholders in fast-paced environments while managing multiple priorities.
• Exceptional written and verbal communication skills, with a talent for demystifying growth opportunities, data and AI complexity to stakeholders across the org.

The base salary range for this position is 156,000 - 237,000 CAD. This role may also be eligible for bonus, commission, equity, and/or benefits.

Our base salary ranges are determined by role, level, and location. The range, which is subject to change based on primary work location, reflects the minimum and maximum base salary we expect to pay newly hired employees for the position. Within the range, we determine pay for an individual based on a number of factors including market location, job-related knowledge, skills/competencies and experience.

Your recruiter can share more about the specific offerings for this role, as well as the salary range for your primary work location during the hiring process.