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Forward Deployed Engineering- Build Manager

Job in Lisburn, County Antrim, BT27, Northern Ireland, UK
Listing for: ServiceNow
Full Time position
Listed on 2026-06-06
Job specializations:
  • IT/Tech
    AI Engineer
Job Description & How to Apply Below

Forward Deployed Engineering
- Build Manager

  • Full-time
  • Employee Type:
    Regular
  • Region: EMEA - Europe, Middle East and Africa
  • Work Persona:
    Flexible or Remote

It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, Service Now is the AI control tower for business reinvention. Our Service Now AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better.

We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.

Join us to put AI to work for people.

Team Bio

Service Now’s Applied AI Forward Deployed Engineering (FDE) team is where bold ideas meet transformative action. We partner with our most strategic customers to shape the future of enterprise AI. Together, we identify high‑value opportunities, accelerate business outcomes, and build reusable AI‑native solutions that advance the Now AI Platform.

Our Mission

We partner deeply with our customers to build intelligent, scalable AI solutions that solve their most mission‑critical challenges. By embedding in real‑world complexity, we deliver fast, iterate with purpose, and transform every success into reusable patterns that accelerate transformation across the Now Platform and the broader enterprise.

Why This Role Matters

Enterprise leaders aren’t just experimenting with AI—they’re demanding outcomes. The next wave of adoption will be led by those who can move fast, deliver measurable value, and transform one‑off wins into repeatable success.

What You’ll Do
  • Work seamlessly with software engineers, product managers, product designers, and customers, to deliver intelligent systems that address mission‑critical challenges using AI
  • Collaborate directly with customers to co‑innovate AI solutions tailored to their needs, acting as the first point of contact or escalation
  • Develop trusted relationships with key internal and external technology leaders and stakeholders to drive focus on the strategic build objectives and optimize build delivery – this includes supporting and holding resources accountable for their responsibilities within the build
  • Drive large scale, cross‑functional, high‑visibility AI software development builds on condensed timelines
  • Organize complex, ambiguous problems into prioritized milestones, deliverables, and success criteria for your builds, translating business objectives into execution strategy (tactical and strategic)
  • Anticipate and remove obstacles that slow down or prevent builds from delivering on objectives, especially on the AI/ML deployment front
  • Help manage risks, dependencies and escalated impediments, as well as releases and navigating AI release requirements
  • Drive process improvements and create documentation to promote best practices using automation to replace repeatable, operational tasks
  • Coordinate day to day activities required to deliver a great solution on time, as well as create transparency through reports, dashboards, and status updates
  • Seek to continuously grow by proactively seeking and embracing constructive feedback, as well as provide feedback to colleagues to encourage an open and collaborative culture
Required Qualifications
  • 10+ years of project/program management experience in mid/large software development companies
  • A solid understanding of SDLC and release management practices in cloud‑based SaaS product organizations
  • Prior work delivering AI or intelligent workflow solutions at scale, with proven success in deploying AI solutions that delivered tangible customer impact
  • Familiarity with AI governance, compliance, and enterprise security practices
  • This role includes occasional travel
Preferred Qualifications
  • Demonstrated competence in key AI/ML software engineering program management best practices: program planning, schedule construction and management; risk assessment & mitigation, dependency management, change management, and predictive metrics
  • Outstanding collaboration…
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