📌 Core Information
🔹 Job Title: Principal Product Manager, Growth
🔹 Company: PagerDuty
🔹 Location: Toronto, Ontario, Canada
🔹 Job Type: Full-time, Hybrid
🔹 Category: Product Management
🔹 Date Posted: 2025-05-15
🔹 Experience Level: 7+ years
🔹 Remote Status: On-site/Hybrid
🚀 Job Overview
Key aspects of this role include:
- Leading AI growth initiatives for enterprise SaaS products
- Collaborating with cross-functional teams to transform projects into exceptional customer experiences
- Driving product adoption and growth through user-centric approaches and go-to-market strategies
- Making strategic decisions to optimize impact during Beta, Early Access, and General Access stages
- Fostering inclusive collaboration and exceptional stakeholder management skills
ASSUMPTION: This role requires a strong background in data-led growth products and a deep understanding of Machine Learning and Large Language Models.
📋 Key Responsibilities
✅ Lead the vision, strategy, and execution for AI growth products and services
✅ Align executive stakeholders around a product roadmap that distills company strategy with qualitative and quantitative customer data, market trends, and competitive insights
✅ Collaborate with data scientists, engineers, designers, and product managers to transform ambiguous projects into amazing experiences
✅ Work with Marketing, Sales, and Customer Success teams to define and execute successful go-to-market strategies
✅ Guide the product through Beta, Early Access, and General Access stages, making data-driven decisions to optimize and drive maximal impact
✅ Navigate fast-paced environments, making rapid progress, and aligning diverse stakeholders around a shared vision
ASSUMPTION: This role requires strong analytical and problem-solving skills, as well as the ability to synthesize qualitative feedback with data-driven insights.
🎯 Required Qualifications
Education: Bachelor's degree in a relevant field (e.g., Computer Science, Business, or a related discipline)
Experience: 7+ years of product management experience, with at least 3 years focusing on data-led growth products at SaaS organizations
Required Skills:
- Proven experience building enterprise-grade products that leverage Machine Learning or Large Language Models
- Strong analytical and problem-solving skills, ideally with a background in data product management
- Strong business acumen and customer empathy with the ability to synthesize qualitative customer feedback with data-led insights
Preferred Skills:
- Proven ability to collaborate and contribute to a positive, inclusive work environment
- 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
ASSUMPTION: Candidates with experience in data product management pipelines, ingestion, modeling, governance, and APIs are strongly encouraged to apply.
💰 Compensation & Benefits
Salary Range: 156,000 - 237,000 CAD per year
Benefits:
- Comprehensive benefits package from day one
- Flexible work arrangements
- Company equity
- ESPP (Employee Stock Purchase Program)
- Retirement or pension plan
- Generous paid vacation time
- Paid holidays and sick leave
- Dutonian Wellness Days & HibernationDuty
- Paid parental leave
- Paid volunteer time off
- Company-wide hack weeks
- Mental wellness programs
Working Hours: Full-time, typically 40 hours per week, with flexibility for hybrid work arrangement
ASSUMPTION: The salary range provided is subject to change based on primary work location and may vary based on market location, job-related knowledge, skills/competencies, and experience.
📌 Applicant Insights
🔍 Company Context
Industry: PagerDuty operates in the Software Development industry, focusing on digital operations management and incident management solutions.
Company Size: PagerDuty has 1,001-5,000 employees, providing ample opportunities for collaboration and growth.
Founded: PagerDuty was founded in 2009 and is headquartered in San Francisco, CA, with additional offices in Atlanta, Lisbon, London, Santiago, Sydney, Tokyo, and Toronto.
Company Description:
- PagerDuty is a global leader in digital operations management, enabling customers to achieve operational efficiency at scale with the PagerDuty Operations Cloud.
- The company combines AIOps, Automation, Customer Service Operations, and Incident Management with a powerful generative AI assistant to create a flexible, resilient, and scalable platform.
- Half of the Fortune 500 and nearly 70% of the Fortune 100 rely on PagerDuty as essential infrastructure for the modern enterprise.
Company Specialties:
- Incident Management
- Digital Operations Management
- AI-driven Automation
- Customer Service Operations
Company Website: https://www.pagerduty.com
ASSUMPTION: PagerDuty's focus on digital operations management and incident management makes it an attractive option for candidates interested in driving operational efficiency and growth for enterprise customers.
📊 Role Analysis
Career Level: This role is at the senior management level, requiring a high degree of expertise and strategic decision-making.
Reporting Structure: The Principal Product Manager, Growth will report directly to the Vice President of Product Management and collaborate with cross-functional teams, including data scientists, engineers, designers, marketing, sales, and customer success.
Work Arrangement: This role is based in Toronto, Ontario, Canada, with a hybrid work arrangement, requiring on-site presence a few days per week.
Growth Opportunities:
- As a senior role, this position offers opportunities to mentor junior product managers and contribute to the development of PagerDuty's product management team.
- Successful candidates may have the opportunity to take on additional responsibilities or advance to a more senior role within the organization.
- The dynamic and fast-paced nature of the role provides ample opportunities for professional growth and development.
ASSUMPTION: This role offers significant growth potential for candidates with the right skills and ambition to make a meaningful impact on PagerDuty's product portfolio.
🌍 Location & Work Environment
Office Type: PagerDuty's Toronto office is a hybrid work environment, offering a mix of on-site and remote work options.
Office Location(s): 905 King St W, 600, Toronto, Ontario M6K 3G9, CA
Geographic Context:
- Toronto is the largest city in Canada and the capital of the province of Ontario, offering a diverse and multicultural environment.
- The city is known for its vibrant tech industry, with a strong focus on artificial intelligence, machine learning, and software development.
- Toronto has a humid continental climate, with warm summers and cold winters, and is home to numerous cultural attractions, including museums, theaters, and festivals.
Work Schedule: The hybrid work arrangement for this role allows for flexibility in scheduling, with a mix of on-site and remote work hours.
ASSUMPTION: Candidates should be comfortable working in a hybrid environment and be able to commute to the Toronto office a few days per week.
💼 Interview & Application Insights
Typical Process:
- Online application review
- Phone or video screen with a recruiter
- Technical assessment or case study
- On-site or virtual interview with the hiring manager and team members
- Final interview with the Vice President of Product Management
- Background check and offer extension
Key Assessment Areas:
- Product management experience and expertise
- Analytical and problem-solving skills
- Business acumen and customer empathy
- Collaboration and communication skills
- Strategic decision-making and prioritization
Application Tips:
- Tailor your resume and cover letter to highlight your relevant experience and skills for this role.
- Be prepared to discuss your experience with data-led growth products, Machine Learning, and Large Language Models.
- Showcase your ability to synthesize qualitative feedback with data-driven insights and make strategic decisions based on impact.
- Demonstrate your ability to collaborate and manage stakeholders in fast-paced environments.
- Prepare questions to ask the interviewer about the team, the role, and PagerDuty's growth initiatives.
ATS Keywords: AI, Growth, Product Management, Machine Learning, Large Language Models, Data-led, Stakeholder Management, Go-to-market Strategies, Customer Empathy, Strategic Decision Making
ASSUMPTION: PagerDuty's application process is designed to assess candidates' technical skills, problem-solving abilities, and cultural fit for the organization.
🛠️ Tools & Technologies
- JIRA
- Confluence
- Slack
- Google Workspace
- Data analysis and visualization tools (e.g., Tableau, Power BI)
- Machine Learning and AI development tools (e.g., TensorFlow, PyTorch)
ASSUMPTION: The specific tools and technologies used by PagerDuty may evolve over time, and candidates should be comfortable learning and adapting to new tools as needed.
👔 Cultural Fit Considerations
Company Values:
- Customer Obsessed
- Inclusive
- Impactful
- Curious
- Tenacious
Work Style:
- PagerDuty fosters a collaborative and inclusive work environment, encouraging open communication and knowledge sharing.
- The company values curiosity, tenacity, and a customer-obsessed mindset.
- PagerDuty's work style is fast-paced and dynamic, with a strong focus on driving operational efficiency and growth for enterprise customers.
Self-Assessment Questions:
- Do you thrive in fast-paced environments and enjoy managing multiple priorities?
- Are you comfortable working in a hybrid environment and commuting to an office a few days per week?
- Do you have a proven track record of fostering inclusive collaboration and exceptional stakeholder management skills?
ASSUMPTION: Candidates should assess their fit with PagerDuty's values and work style to ensure a successful and fulfilling experience in the role.
⚠️ Potential Challenges
- The fast-paced nature of the role may require candidates to manage multiple priorities and make rapid progress.
- The hybrid work arrangement may present challenges for candidates who prefer fully remote or fully on-site work environments.
- The role may require candidates to work with diverse stakeholders, including data scientists, engineers, designers, marketing, sales, and customer success teams, which can present unique communication and collaboration challenges.
- The Toronto office may present challenges for candidates who prefer to work in a fully remote or on-site environment.
ASSUMPTION: Candidates should carefully consider these potential challenges and assess their ability to thrive in a fast-paced, hybrid work environment with diverse stakeholders.
📈 Similar Roles Comparison
- Compared to other senior product management roles, this position focuses specifically on AI growth initiatives and requires a deep understanding of Machine Learning and Large Language Models.
- PagerDuty's focus on digital operations management and incident management sets it apart from other companies in the enterprise SaaS space.
- This role offers significant growth potential for candidates with the right skills and ambition to make a meaningful impact on PagerDuty's product portfolio.
ASSUMPTION: Candidates should consider their fit with PagerDuty's focus on AI growth initiatives and digital operations management when evaluating this role compared to similar positions in the industry.
📝 Sample Projects
- Developing and launching a new AI-driven growth product that leverages Machine Learning or Large Language Models to enhance customer experiences and drive operational efficiency
- Collaborating with cross-functional teams to transform ambiguous projects into exceptional customer experiences, with a focus on Beta, Early Access, and General Access stages
- Working with Marketing, Sales, and Customer Success teams to define and execute successful go-to-market strategies for AI growth products
ASSUMPTION: These sample projects illustrate the types of initiatives candidates may work on in this role, focusing on AI growth initiatives, cross-functional collaboration, and go-to-market strategies.
❓ Key Questions to Ask During Interview
- Can you describe the current state of PagerDuty's AI growth initiatives and how this role will contribute to their success?
- How does the product management team at PagerDuty collaborate with other departments, such as data science, engineering, marketing, sales, and customer success?
- What are the most significant challenges facing the product management team, and how can this role help address them?
- How does PagerDuty support the professional growth and development of its product management team members?
- What are the key priorities for this role in the first 30, 60, and 90 days?
ASSUMPTION: These key questions help candidates better understand the role, the team, and PagerDuty's growth initiatives, enabling them to make an informed decision about their fit for the position.
📌 Next Steps for Applicants
To apply for this position:
- Submit your application through this link
- Tailor your resume and cover letter to highlight your relevant experience and skills for this role, with a focus on data-led growth products, Machine Learning, and Large Language Models
- Prepare for interviews by practicing your problem-solving skills and demonstrating your ability to synthesize qualitative feedback with data-driven insights
- Research PagerDuty's products, customers, and industry to show your enthusiasm and understanding of the company's mission and values
- Follow up with the recruiter one week after submitting your application to inquire about the status of your application
⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.
