Senior Success on Demand Consultant

<div class="content-intro"><p>PagerDuty (NYSE:PD) is a leader in Digital Operations Management. In an always-on world, organizations of all sizes trust PagerDuty to help them deliver a perfect digital experience to their customers, every time. Teams use PagerDuty to identify issues and opportunities in real time and bring together the right people to fix problems faster and prevent them in the future. Over 13,000 organizations (including 60 of Fortune 100) rely on PagerDuty to succeed with Digital Transformation, Cloud Migration, and DevOps Modernization. Notable customers include GE, Cisco, Genentech, Electronic Arts, Cox Automotive, Netflix, Shopify, Zoom, DoorDash, Lululemon and more. We are expanding rapidly as a platform for Digital Operations Management using AI/ML and Automation and growing our adoption by Development, IT, Customer Service, Security, and other teams across the organization.</p></div><p><strong>PagerDuty - Senior Forward Deployment Engineering Delivery Consultant </strong><em>(FKA Senior Scaled</em><em> </em><em>Delivery | Success on Demand Consultant)</em><em>&nbsp;</em></p> <p>The Senior PagerDuty - Forward Deployment Engineering Consultant is a pivotal leadership role responsible for overseeing the end-to-end development, deployment, and optimization of PagerDuty's platform and AI-driven solutions for enterprise customers.&nbsp;</p> <p>This position requires experience in software development, architecture, and deployment, coupled with a deep technical understanding of AI integration practices and advanced development technologies.&nbsp;</p> <p>The successful candidate will guide fast implementation projects, leveraging generative AI and automation to enhance customer outcomes from initial scoping and design through to production deployment and ongoing service enhancement.&nbsp;</p> <p>Additionally, they will serve as the principal liaison between customers and internal teams, including Support, Success, Engineering, Professional Services, and Education, as well as between customers and PagerDuty’s Product &amp; Development teams, ensuring that technical strategies align with business objectives.&nbsp;</p> <p>This role also involves mentoring junior consultants, leading technical workshops on AI-powered solutions, and representing PagerDuty in external forums to advance modern development and deployment practices.&nbsp;</p> <p><strong>Responsibilities:</strong><strong>&nbsp;</strong></p> <ul> <li>As a Senior Forward Deployment Engineering Delivery Consultant, you will be responsible for collaborating with PagerDuty customers on the successful design, development, and implementation of solutions across the PagerDuty Operations Cloud.&nbsp;</li> <li>Collaborate with large-scale enterprises to perform comprehensive scoping assessments, ensuring that the specific technical and business requirements for platform deployment and AI solutions are thoroughly defined and aligned with organizational objectives.&nbsp;</li> <li>Lead end-to-end deployment projects by planning, coordinating, and executing the integration of PagerDuty solutions, leveraging advanced development techniques to ensure seamless transitions and minimal disruption to ongoing business operations.&nbsp;</li> <li>Partner across the organization’s customer-facing teams (Support, Success, Engineering, Professional Services, Education) as the Subject Matter Expert related to PagerDuty Operations Cloud. Support customer account teams in customer meetings, business reviews, and strategy, deployment, and upgrade planning, particularly where new product features or improvements may be required.&nbsp;</li> <li>Partner across PagerDuty Product &amp; Development teams as the Subject Matter Expert, bringing direct customer feedback for new features, AI capabilities, and integration requirements for improvement in future product releases.&nbsp;</li> <li>Develop a deep understanding of PagerDuty products, solutions, integrations, processes, and workflows used in typical customer engagements.</li> </ul> <p><strong>Requirements:</strong><strong>&nbsp;</strong></p> <ul> <li><strong>5–8 years of experience </strong>as a Software Developer or Engineer in enterprise-level environments.</li> <li><strong>Cloud &amp; Architecture Mastery:&nbsp;</strong>Proficient in AWS, Kubernetes, Serverless architectures, and CI/CD pipelines.&nbsp;</li> <li><strong>AI Implementation: </strong>Experienced in deploying generative AI models and integrating them into complex platforms.&nbsp;</li