Together we’re building a company that will endure and products people will love for generations to come.

We believe that people do their best in a culture that fosters inclusion, innovation, and success. Our values - Champion the Customer, Take the Lead, Run Together, Ack + Own and Bring Yourself - serve as the foundation of our collaborative and dynamic culture.

Whether it’s conducting a retrospective, participating in our bi-annual hack weeks, cranking out a new product feature, supporting our two PagerDuty bands, or doing our day-to-day work, Dutonians live and breathe these five values every day. Together, we solve real customer issues and fulfill our mission of connecting teams to real-time opportunities and elevate work to the outcomes that matter.

We’re building an inclusive workplace that represents the real, everyday people we support around the world. From how we develop our teams to who sits in the boardroom, we hope you can see yourself at PagerDuty.

Why We Need You:

We’re looking for a Data Engineering Manager with proven technical leadership experience and a passion for building a scalable team of data engineers. We expect you to provide guidance and be actively involved in the career development of your direct reports setting clear objectives and ensuring alignment with organizational V2Mom goals. In addition, we want the EM role to be a driver in engaging with multi-functional project teams to ideate and propose technology solutions influencing business decisions. 

How you contribute to our vision: Key Responsibilities

• Lead a team that is continuously learning and improving 
• Anticipate and provide solutions to problems and roadblocks 
• Independently understand scheduling, cost constraints, and influence to other teams; and make resource and architectural trade-offs based on those factors
• Interact with your team, customers, and peers to share information and improve cross-departmental processes 
• Effectively build and maintain a network of key contacts across the company, and leverage these contacts to achieve results 
• Communicate and work effectively with geographically distributed cross-functional teams 

Minimum Requirements

• A degree in Computer Science, Mathematics, and/or equivalent related professional experience 
• 3-5 years experience in managing Data Engineering teams with either cloud architecture or ML engineering focus
• Strong coordination and influencing skills 
•  Effective verbal and written communication skills with the ability to present complex technical information clearly and concisely to stakeholders and within the team, resolving conflicts and gaining alignment
• Experience working with AWS (preferred)
• Experience in designing and building data-intensive solutions using distributed computing
• Experience with an industry-recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow