Senior Success on Demand Consultant

PagerDuty PagerDuty · Enterprise · Santiago, Chile · Professional Services

Senior consultant role focused on deploying and optimizing PagerDuty's platform and AI-driven solutions for enterprise customers. Involves guiding implementation projects using generative AI and automation, acting as a liaison between customers and internal teams, and mentoring junior consultants.

What you'd actually do

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. Partner across PagerDuty Product & 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.

Skills

Required

  • 5–8 years of experience as a Software Developer or Engineer in enterprise-level environments.
  • Proficient in AWS, Kubernetes, Serverless architectures, and CI/CD pipelines.
  • Experienced in deploying generative AI models and integrating them into complex platforms.
  • Skilled in using AI Coding Assistants (Claude Code, Cursor, Gemini) for rapid prototyping and agent-based delivery.
  • Proficient in Python, Java, React, and TypeScript for building REST APIs and data pipelines.
  • Proven track record in debugging, testing, security, and managing the full software delivery lifecycle.
  • Experience managing large-scale platform deployments and AI initiatives from scoping to delivery.
  • Ability to influence senior executives and translate technical strategies into business outcomes.
  • Strong background in leading cross-functional teams and fostering collaborative, high-performance environments.
  • Advanced credentials in AI, Cloud (AWS/Azure/GCP), or DevOps/SRE.
  • Comfortable providing technical guidance directly to clients, data scientists, and architects.
  • Exceptional problem-solving, English communication, and the resilience to thrive in fast-paced, ambiguous settings.

Nice to have

  • Advanced credentials in AI, Cloud (AWS/Azure/GCP), or DevOps/SRE.

What the JD emphasized

  • AI Implementation: Experienced in deploying generative AI models and integrating them into complex platforms.
  • AI-Driven Development: Skilled in using AI Coding Assistants (Claude Code, Cursor, Gemini) for rapid prototyping and agent-based delivery.

Other signals

  • integrating generative AI into complex platforms
  • using AI Coding Assistants for rapid prototyping and agent-based delivery
  • leading technical workshops on AI-powered solutions