Senior Technical Program Manager, AI Program Strategy & Automation

Seattle

$156,000 - $166,400

Contract

While benefits may vary based on work location and the nature of the job, in general our employees have access to a 401(k)-retirement plan, disability coverage, an Employee Assistance Program (EAP), life insurance, health insurance, paid vacation and sick time, and paid holidays.

We are transforming how complex technology programs are planned, executed, measured, and optimized. As AI reshapes the way organizations operate, we believe the role of the Senior Technical Program Manager must evolve beyond coordination and reporting into a function that leverages automation, analytics, and intelligence to accelerate delivery and improve decision-making.

We are seeking an experienced Senior Technical Program Manager who views AI not simply as a productivity tool, but as a foundational component of modern program execution. This individual will help define the next generation of program management by building scalable reporting systems, automating operational workflows, creating meaningful metrics, and using data to anticipate risks before they impact outcomes.

This role is based on-site in our Downtown Seattle corporate office where you will partner closely with Engineering, Product Management, Operations, and our executive leadership team. Our current allocation for this project runs through March 2027, and will be re-assessed at that time with program delivery, performance, and evolving business needs and resources in mind.

• Lead high-visibility technical programs across multiple engineering and product organizations.
• Design and implement scalable program operating models that reduce administrative overhead and increase execution velocity.
• Develop metrics frameworks, health indicators, executive dashboards, and reporting systems that provide actionable visibility into delivery progress.
• Partner with engineering, product, and business stakeholders to establish meaningful KPIs and success measures.
• Automate program management workflows using AI and modern productivity technologies.
• Reduce dependency on manual status reporting, meeting-driven updates, and spreadsheet-based program tracking.
• Create mechanisms that proactively identify risks, dependencies, schedule impacts, and resource constraints.
• Leverage AI-enabled tools to streamline reporting, planning, communication, and stakeholder management.
• Build and maintain executive-facing dashboards and portfolio-level health reporting.
• Drive accountability across multiple teams while maintaining visibility into strategic priorities, milestones, and business outcomes.
• Champion best practices for AI-augmented program management across the organization.

• 8+ years of Technical Program Management experience supporting software, cloud, infrastructure, cybersecurity, or enterprise technology initiatives.
• Proven experience managing large-scale cross-functional programs involving engineering, product, operations, and executive stakeholders.
• Strong analytical skills with experience building program metrics, dashboards, and reporting frameworks.
• Experience working with analytical and organization tools such as Power BI, Tableau, Azure Dev Ops, Jira, Smartsheet, SQL, Excel, or similar.
• Demonstrated ability to translate complex technical data into executive-ready insights.
• Strong understanding of software development life cycles, agile delivery, and technical execution.
• Exceptional organizational leadership and stakeholder management capabilities.

• Experience leveraging Microsoft Copilot, ChatGPT Enterprise, Claude, Gemini, or similar AI platforms to improve program outcomes.
• Experience building automated reporting pipelines and workflow automations.
• Familiarity with workflow orchestration tools and strategies for continual improvement and optimization across teams, orgs, and departments.
• Experience creating predictive metrics, risk models, or program health scoring systems.
• Background supporting large enterprise technology organizations.

The ideal candidate no longer views project management as a collection of meetings, status updates, and administrative tasks.

Instead, they ask:

• What information should be automated?
• What reporting can be generated instead of manually created?
• What signals predict future risk?
• What data should be surfaced before executives ask for it?
• What…