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Technical Program Manager, AI Tooling

Job in Washington, District of Columbia, 20022, USA
Listing for: United States Digital Space LLC
Full Time position
Listed on 2026-10-04
Job specializations:
  • IT/Tech
    IT Business Analyst, Business Systems & Technology Analysis, AI Business & Operations
  • Business
    Business Systems & Technology Analysis, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 169000 - 245000 USD Yearly USD 169000.00 245000.00 YEAR
Job Description & How to Apply Below

the company is growing our team of passionate creatives and builders on a mission to make design accessible to all. the company’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, the company empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world.

If you're excited to shape the future of design and collaboration, join us!

We're looking for an experienced Technical Program Manager to build and run the program operating system for the company's growing Internal AI Tooling portfolio. Reporting into the CIO PMO and embedded within the team driving this work, you'll partner closely with Product and Engineering leaders to translate an emerging roadmap into coordinated, secure, and scalable capabilities used across the company — bringing together Engineering, Security, Legal, Procurement, Data Engineering, Business Systems, IT, Enablement, and business teams.

You'll create clarity across this system by establishing lightweight planning and governance, aligning teams around shared milestones and decisions, and ensuring initiatives move from intake through release and operational handoff with clear ownership and measurable outcomes — shaping not only what gets delivered, but also how the company evaluates, builds, releases, and operates internal AI capabilities as the portfolio grows.

The ideal candidate can bring structure to an ambiguous, fast-moving environment without introducing unnecessary process, and can lead complex work through influence rather than direct authority.

This is a full time role that can be held from one of our US hubs or remotely in the United States.

What you'll do at the company:
  • Translate the Product Manager’s roadmap and prioritized outcomes into integrated program plans, milestones, release schedules, decision points, and clear ownership
  • Manage execution of the Internal AI Tooling roadmap across technical teams and business stakeholders
  • Operationalize a transparent intake and routing process so requests have a defined problem, expected business outcome, delivery path, risk profile, and accountable owner before work begins
  • Establish and facilitate lightweight planning and execution cadences, including program reviews, dependency reviews, decision forums, release‑readiness reviews, and stakeholder updates
  • Maintain an integrated view of dependencies, risks, issues, assumptions, and decisions, driving timely resolution or escalation when work is blocked
  • Coordinate security reviews, legal and procurement milestones, data dependencies, vendor commitments, and business‑system integrations so these work streams are engaged at the appropriate stage of delivery
  • Ensure releases have appropriate acceptance criteria, operational ownership, support processes, runbooks, escalation paths, and feedback loops before handoff
  • Partner with Product and stakeholders to define measurable outcomes and provide clear reporting on delivery health, adoption readiness, operational performance, and realized impact
We'd love to hear from you if you have:
  • 5+ years of technical program management, or technical delivery experience in a cloud, SaaS, enterprise-technology, or internal-tools environment
  • Demonstrated experience leading complex programs across Product, Engineering, Security, Legal, Data, Business Systems, Operations, and business stakeholders
  • A track record of translating product roadmaps into integrated plans, milestones, dependencies, decision points, release schedules, and measurable outcomes while maintaining clear ownership boundaries between Product, Program, and Engineering
  • Technical fluency with enterprise systems, APIs,…
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