π Core Information
πΉ Job Title: Principal Product Manager, Growth & Insights
πΉ Company: PagerDuty
πΉ Location: Atlanta, GA, USA
πΉ Job Type: Full-time, Hybrid
πΉ Category: Software Development
πΉ Date Posted: May 15, 2025
πΉ Experience Level: 7+ years
πΉ Remote Status: On-site/Hybrid
π Job Overview
Key aspects of this role include:
- Leading AI growth initiatives and leveraging Machine Learning and Large Language Models
- Collaborating with cross-functional teams to deliver exceptional customer experiences
- Driving product adoption and growth through strategic decision-making and go-to-market strategies
- Fostering an inclusive work environment and managing multiple priorities in a fast-paced environment
ASSUMPTION: This role requires a strong background in data-led growth products and a deep understanding of AI and Machine Learning technologies.
π Key Responsibilities
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Lead the vision, strategy, and execution for AI growth products and services
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Collaborate with executive stakeholders to define a product roadmap based on company strategy, qualitative and quantitative customer data, market trends, and competitive insights
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Work with data scientists, engineers, designers, and product managers to transform ambiguous projects into amazing customer experiences
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Partner with Marketing, Sales, and Customer Success teams to define and execute successful go-to-market strategies
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Guide products through Beta, Early Access, and General Access stages, setting clear success criteria and stage-gates for each leg of the journey
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Navigate fast-paced environments, making rapid progress, and aligning diverse stakeholders around a shared vision
ASSUMPTION: This role requires a high level of autonomy and the ability to work effectively with various teams to deliver results.
π― Required Qualifications
Education: Bachelor's degree in a relevant field (e.g., Computer Science, Engineering, 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, with a background in data product management (pipelines, ingestion, modeling, governance, and APIs)
- Ability to synthesize qualitative customer feedback with data-led insights (A/B and multivariate testing) to ruthlessly prioritize based on impact
Preferred Skills:
- 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 organization
ASSUMPTION: Candidates with a strong background in data product management and experience working with AI and Machine Learning technologies are highly encouraged to apply.
π° Compensation & Benefits
Salary Range: $180,000 - $304,000 USD (based on industry standards for a Principal Product Manager role in Atlanta, GA)
Benefits:
- Competitive salary
- 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 flexible scheduling options
ASSUMPTION: The salary range provided is an estimate based on industry standards for a Principal Product Manager role in Atlanta, GA. Actual compensation may vary based on factors such as experience, skills, and market conditions.
π Applicant Insights
π Company Context
Industry: Software Development
Company Size: 1,001-5,000 employees (Mid-size)
Founded: 2009
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 offers a hybrid, flexible work environment with ample opportunities for connection and volunteering
- PagerDuty is committed to creating a diverse environment and is an equal opportunity employer
Company Specialties:
- Incident Management
- Customer Service Operations
- AI Growth Products
- Machine Learning and Large Language Models
Company Website: PagerDuty
ASSUMPTION: PagerDuty is a well-established company in the software development industry, with a strong focus on digital operations management and a commitment to fostering a diverse and inclusive work environment.
π Role Analysis
Career Level: Senior/Principal
Reporting Structure: This role reports directly to the Senior Director of Product Management, Growth & Insights
Work Arrangement: Hybrid (2-3 days on-site per week, with flexible remote work options)
Growth Opportunities:
- Potential to advance to a Director or VP role within the Product Management organization
- Opportunities to work on high-impact projects and drive significant business growth
- Chance to collaborate with and learn from experienced product managers, data scientists, and engineers
ASSUMPTION: This role offers significant growth potential for the right candidate, with opportunities to advance within the Product Management organization and work on high-impact projects.
π Location & Work Environment
Office Type: Hybrid (onsite and remote work options)
Office Location(s): 725 Ponce de Leon Ave NE, Atlanta, Georgia 30306, US
Geographic Context:
- Atlanta, GA, USA
- Diverse and vibrant city with a thriving tech industry
- Home to numerous Fortune 500 companies and startups
Work Schedule: Full-time, typically 40 hours per week, with flexible scheduling options
ASSUMPTION: Atlanta, GA, offers a dynamic and diverse work environment with a thriving tech industry and numerous opportunities for professional growth and development.
πΌ Interview & Application Insights
Typical Process:
- Phone or video screen with a recruiter or HR representative
- Technical assessment or case study
- On-site or video interview with the hiring manager and team members
- Final interview with the Senior Director of Product Management, Growth & Insights
Key Assessment Areas:
- Technical skills and experience with AI growth products and Machine Learning technologies
- Problem-solving and analytical skills
- Communication and collaboration skills
- Cultural fit and alignment with PagerDuty's values and work environment
Application Tips:
- Highlight your experience with AI growth products and Machine Learning technologies in your resume and cover letter
- Prepare for behavioral and situational interview questions that focus on your problem-solving skills and experience working with cross-functional teams
- Research PagerDuty's products, company culture, and values to demonstrate your enthusiasm and fit for the role
ATS Keywords: AI growth products, Machine Learning, Large Language Models, data-led growth, product management, stakeholder management, go-to-market strategies, customer empathy, data product management
ASSUMPTION: The interview process for this role will focus on assessing the candidate's technical skills, problem-solving abilities, and cultural fit with PagerDuty's values and work environment.
π οΈ Tools & Technologies
- Machine Learning and Large Language Models
- Data product management tools (e.g., data pipelines, ingestion, modeling, governance, and APIs)
- Product management software (e.g., Asana, JIRA, or similar tools)
- Collaboration and communication tools (e.g., Slack, Microsoft Teams, or similar tools)
ASSUMPTION: This role requires a strong background in data product management and experience working with AI and Machine Learning technologies. Familiarity with relevant tools and technologies is essential for success in this role.
π Cultural Fit Considerations
Company Values:
- Customer Obsessed
- Inclusive & Empowered
- One Team, One Dream
- Unstoppable
Work Style:
- Collaborative and inclusive work environment
- Fast-paced and dynamic, with a focus on rapid progress and results
- Strong emphasis on customer empathy and customer-centric decision-making
Self-Assessment Questions:
- How do you approach working with diverse teams to deliver exceptional customer experiences?
- How do you balance the need for rapid progress with a focus on inclusivity and collaboration?
- How do you ensure that your decisions are driven by customer empathy and data-led insights?
ASSUMPTION: PagerDuty values a customer-obsessed, inclusive, and collaborative work environment. Candidates who are a strong cultural fit will thrive in this dynamic and fast-paced work environment.
β οΈ Potential Challenges
- Managing multiple priorities and stakeholders in a fast-paced environment
- Navigating a dynamic and evolving product roadmap based on customer feedback, market trends, and competitive insights
- Working with ambiguous projects and transforming them into exceptional customer experiences
- Balancing the need for rapid progress with a focus on inclusivity, collaboration, and customer empathy
ASSUMPTION: This role presents unique challenges and opportunities for growth and development. Candidates who are adaptable, resilient, and able to thrive in a fast-paced environment will excel in this role.
π Similar Roles Comparison
- This role is unique in its focus on AI growth products and Machine Learning technologies within the Product Management organization
- Similar roles may include Senior Product Manager, Growth or Senior Product Manager, AI/ML Products, but this role offers a more specialized focus on data-led growth and customer-centric decision-making
- Career progression may include advancement to Director or VP roles within the Product Management organization, with opportunities to work on high-impact projects and drive significant business growth
ASSUMPTION: This role offers a unique opportunity to work on cutting-edge AI growth products and drive significant business growth within the Product Management organization.
π Sample Projects
- Developing and launching a new AI-powered customer service chatbot to improve customer satisfaction and reduce response times
- Creating and implementing a data-driven go-to-market strategy for a new Machine Learning-based product offering
- Collaborating with cross-functional teams to transform an ambiguous project into an exceptional customer experience, driving product adoption and growth
ASSUMPTION: These sample projects illustrate the types of high-impact initiatives that candidates may work on in this role, focusing on AI growth products, data-led decision-making, and customer-centric design.
β Key Questions to Ask During Interview
- How does the company support the integration of Machine Learning and Large Language Models into its products and services?
- What are the key priorities for this role in the first 30-60-90 days?
- How does the company measure the success of AI growth products, and what metrics are most important for this role?
- What opportunities are there for professional growth and development within the Product Management organization?
- How does the company foster a culture of inclusivity and collaboration, and what initiatives are in place to support diversity, equity, and inclusion?
ASSUMPTION: Asking thoughtful and insightful questions during the interview process will demonstrate your interest in the role and help you better understand the company's priorities, culture, and opportunities for growth and development.
π Next Steps for Applicants
To apply for this position:
- Submit your application through this link
- Customize your resume to highlight your experience with AI growth products, Machine Learning technologies, and data product management
- Write a cover letter that demonstrates your enthusiasm for the role and how your skills and experience make you a strong fit for the position
- Prepare for the interview process by researching PagerDuty's products, company culture, and values
- Follow up with the recruiter or hiring manager after your interview to express your interest in the role and ask any remaining questions
β οΈ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.