Senior Technical Program Manager, Forward Deployed Engineering- Applied AI

ServiceNow ServiceNow · Enterprise · Addison, TX +1 · Engineering, Infrastructure and Operations

Senior Technical Program Manager for ServiceNow's Applied AI Forward Deployed Engineering team. This role partners with strategic customers to build and deliver intelligent, scalable AI solutions that solve mission-critical challenges, focusing on accelerating business outcomes and transforming 1-off wins into repeatable success. The TPM will manage the SDLC for these AI builds, drive cross-functional teams, and ensure successful delivery of AI solutions to production.

What you'd actually do

  1. Work seamlessly with software engineers, product managers, product designers, and customers, to deliver intelligent systems that address mission-critical challenges using AI
  2. Collaborate directly with customers to co-innovate AI solutions tailored to their needs, acting as the first point of contact or escalation
  3. 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
  4. Drive large scale, cross-functional, high visibility AI software development builds on condensed timelines
  5. Organize complex, ambiguous problems into prioritized milestones, deliverables, and success criteria for your builds, translating business objectives into execution strategy (tactical and strategic)

Skills

Required

  • 10+ years of project/program management experience in mid/large size 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

Nice to have

  • 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 and communication skills - clearly communicate changes, requests, and deadlines to the teams and risks, status, progress, and decisions to a variety of audiences including executives
  • Passion for working with people in technical and innovative environments, with the ability to work well with many different types of personalities in various functions
  • Strong leadership and relationship building skills to influence and motivate without authority - masterful in the art of bringing people together
  • Strong facilitation skills to lead/drive a variety of build events, with a high regard for quality, drive for continuous improvement across the organization, and ability to keep the big picture in view
  • Experience deploying AI solutions to production and skilled at identifying waste/delays in AI end-to-end development

What the JD emphasized

  • deploying AI solutions that delivered tangible customer impact
  • deploy AI solutions
  • AI software development builds
  • AI solutions
  • AI governance, compliance, and enterprise security practices
  • AI end-to-end development

Other signals

  • partner with customers to build AI solutions
  • deliver AI solutions that solve mission-critical challenges
  • deploying AI solutions that delivered tangible customer impact