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F5

Principal Technical Program Manager

F5

. Design and stand up the enterprise AI program’s operating model, governance, and decision rights across interlocking workstreams .

Posted 10/2/2026full-timeSeattle • California • United StatesLead💰 $193,600 - $290,400 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing enterprise AI programs, including governance models, decision rights, and technical delivery frameworks. Proven ability to manage complex, multi-workstream projects while ensuring effective communication and stakeholder engagement.

Highest-signal resume keywords
10+ Years Project/Program Management ExperienceTechnical Program ManagementGovernance and Operating Model DesignSprint Operating Model DesignAI Concepts and Deployment

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Project ManagementProgram OrchestrationGovernance FrameworksRACI Model AuthoringWave PlanningAgile MethodologiesData Quality ManagementAI Use Case DevelopmentInvestment Proposal DevelopmentChange Management
Soft Skills
Exceptional Communication SkillsNegotiation SkillsRelationship ManagementChange Resistance NavigationStakeholder Engagement
Tools & Technologies
Internal ApplicationsProgram Documentation ToolsReporting InfrastructureWork Breakdown StructuresVelocity Data Analysis
Industry Keywords
AI Program ManagementTechnical Use CasesExecutive ReportingAdoption Gap RemediationCross-Program Governance

About the role

Key responsibilities & impact
  • Design and stand up the enterprise AI program’s operating model, governance, and decision rights across interlocking workstreams
  • Author workstream charters and RACI models, define escalation paths, and formalize role boundaries across programs and executive offices
  • Establish mission-alignment forums, recurring cadences, shared metrics, and cross-program governance practices
  • Design and execute phased global AI capability adoption rollouts, including geographic and functional wave planning
  • Identify and unblock adoption gaps, adjust rollout plans based on learnings, and drive change management through resistance
  • Design sprint operating models and lead technical delivery teams through waterfall-to-agile transitions
  • Run sprint cycles, facilitate retrospectives, and tune delivery models using team feedback and velocity data
  • Build work breakdown structures and maintain dependency-aware program plans across concurrent workstreams
  • Establish communication infrastructure and mission site hubs containing program documentation
  • Operate bi-weekly executive reporting rhythms and maintain shared workboards for dependencies, owners, and dates
  • Evaluate AI opportunities, translate business pain points into technical use cases, and own use-case lifecycles from discovery through deployment
  • Develop business cases, facilitate investment discussions, and publish quarterly readouts on adoption, velocity, and rollout status
  • Deliver roadmaps and resourcing proposals for future investment
  • Resolve data quality and hygiene issues affecting AI use cases
  • Coordinate custom-built or lightly engineered internal tools and applications and integrate them into program workflows
  • Ensure safe and responsible AI deployment guardrails are defined, met, and auditable

Requirements

What you’ll need
  • 10+ years of project/program management experience
  • 3+ years in technical program management or program orchestration roles spanning multiple concurrent workstreams
  • Experience standing up governance, operating models, and reporting infrastructure from scratch with minimal oversight
  • Experience authoring charters and RACI models, defining decision rights and escalation paths, and managing dotted-line relationships across programs and executive stakeholders
  • Experience designing and executing phased, multi-geography or multi-function technology adoption programs, including wave planning, success criteria definition, and adoption-gap remediation
  • Hands-on experience designing sprint operating models and leading teams through waterfall-to-agile transitions
  • Practical, hands-on understanding of core AI concepts, including building autonomous agents, working with models, and establishing guardrails
  • Ability to communicate credibly with engineers and executives
  • Proven ability to design and run executive-level reporting rhythms, publish program readouts, and facilitate investment and resourcing conversations with senior leadership
  • Exceptional communication and negotiation skills
  • Success navigating change resistance, resolving ownership ambiguity between senior stakeholders, and sustaining high-trust relationships across teams
  • Experience evaluating financial outcomes, proving ROI with quantified metrics, and shaping quarterly roadmaps and resourcing asks
  • Comfort managing rapidly prototyped, custom, or lightly engineered internal applications and integrating them into program operations
  • Sharp eye for data quality and hygiene issues related to deploying successful AI business solutions

Benefits

Comp & perks
  • Incentive compensation
  • Bonus
  • Restricted stock units
  • Benefits package
  • Reasonable accommodations for candidates