Senior Professional Services Consultant

We are seeking a Senior Professional Services Consultant (Sr. PSC) to lead complex implementations and automation projects that accelerate customer adoption of the PagerDuty Reliability Platform. Sr. PSCs engage directly with customers to design and deliver both incident management, automation, and AI-driven operations solutions that align with business objectives, drive operational maturity, and deliver measurable value. This role requires strong technical expertise, advanced consulting skills, and the ability to lead customer-facing projects with minimal oversight.

The ideal candidate combines strong technical expertise with excellent consulting skills, thriving at the intersection of problem-solving, solution design, and customer enablement. In addition, they will have in-depth knowledge of monitoring tools and practices, technical aptitude in automation, SaaS & cloud technologies, operations & infrastructure setup, as well as experience interfacing with highly technical customers. The successful candidate will have a strong analytical mindset, a thirst for learning new things, genuine interest in technology, and a proactive mentality.

**You will be required to work 2 days a week from our London office**

Job Responsibilities:

Lead large-scale implementation projects across incident management, signal intelligence, and PagerDuty AI use cases, ensuring consistent alignment with operational best practices.

Partner with customer stakeholders to design, configure, and optimize PagerDuty services, integrations, automation workflows, and AI agents across diverse environments, including connecting the observability and knowledge sources our AI agents rely on.

Assess and prepare customer environments for AI adoption, including service structure, runbook quality, and event data hygiene, so PagerDuty AI delivers accurate and trusted results.

Provide advanced consultation on integration and automation strategies leveraging APIs, plugins, and automation frameworks.

Facilitate in-depth discovery and advisory sessions with senior technical and business stakeholders, surfacing gaps and recommending scalable solutions.

Develop reusable frameworks, templates, and accelerators that standardize delivery and improve time-to-value, using AI tools to automate configuration and migration work and shorten delivery timelines, in line with PagerDuty data handling policies.

Mentor junior Professional Services team members, reviewing deliverables and sharing best practices.

Advise customers on long-term automation and digital operations strategies that integrate PagerDuty into their DevOps and SRE practices.

Represent customer needs internally by collaborating with Sales, Customer Success, Product, and Engineering teams.

Capture lessons learned from engagements and contribute to continuous improvement of Professional Services methodologies, including sharing effective AI-assisted delivery practices across the team.

Basic Qualifications:

7+ years of experience in senior-level roles within professional services, technical consulting, and/or solutions engineering.

Solid scripting abilities (Python, Go, JavaScript, Ruby, Powershell, etc.)

Working knowledge of SQL, computer networking, Linux, REST APIs, and command-line interfaces (CLIs).

Experience with Automation, CI/CD, DevOps, and Site Reliability Engineering (SRE) processes and tools (Terraform, Ansible, Chef, Puppet, Rundeck, Jenkins, Git, etc.)

Hands-on experience using AI coding and productivity tools in technical delivery work.

Proven track record leading enterprise SaaS implementations and automation projects with minimal oversight.

Strong organizational and project management skills with the ability to manage multiple large customer engagements simultaneously.

Excellent analytical, problem-solving, and risk assessment skills.

Strong verbal and written communication skills, including executive-level presentations.

The ability to work in a PagerDuty office at least two days per week, with occasional travel for customer or team engagements.

Authorized to work in the country of employment.

Preferred Qualifications:

Experience with cloud products (SaaS, PaaS, and/or IaaS).

Proficiency with popular monitoring platforms (New Relic, Dynatrace, Datadog, Splunk, etc.) and ITSM tools (ServiceNow, BMC Remedy, Jira, etc.)

Experience with Claude and Claude Code, or similar AI assistants and agentic coding tools.

Experience implementing or administering AI agents, LLM integrations, or MCP-based tooling.

Familiarity with AIOps concepts (event correlation, noise reduction, root cause analysis).

Knowledge of SSH and WinRM remote authentication protocols.

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