Technical Program Manager II

United States Digital Space LLC; New York (NY); On-site; USD 140,000 - 210,000; Full time

Job summary

United States Digital Space LLC is seeking a Technical Program Manager to lead large cross‑functional programs spanning multiple engineering groups, product, and business units. You will surface systemic risks, dependencies, and organizational friction while delivering high‑priority initiatives with measurable KPIs.

The role requires hands‑on experience with complex domains such as AI/ML systems, observability, and data platforms, plus strong communication to executive stakeholders.

Qualifications

• Hands‑on experience with technically complex domains such as observability, infrastructure, data platforms, or AI/ML systems.
• Proven ability to drive large, ambiguous cross‑functional programs to completion with minimal direction.
• Strong communication skills, both written and verbal, at VP+ levels.
• Ability to build trust with senior engineering and product leadership through judgment, not titles.
• Active AI practitioner using AI tools to augment work and leverage.

Responsibilities

• Own large cross‑functional programs spanning multiple engineering orgs, product, and business functions.
• Proactively surface systemic risks, cross‑pod dependencies, and organizational friction before they escalate.
• Build SVP‑level visibility through KPIs on top company initiatives.
• Bridge gaps between functions using technical credibility and product domain expertise.

Skills

Cross‑functional collaboration

Program management

AI/ML systems

Architecture design

Stakeholder management

Job description

TPMs at the company see the problems hiding between teams, engineer away the work that shouldn’t require humans, and drive the company’s most technically complex and consequential bets to completion.About the Role

Technical Program Management at the company operates at the intersection of engineering depth and organizational reach by driving high priority, cross-functional programs that are too complex and consequential for any single team to own. We partner with engineering on solving deeply technical problems at scale by connecting the people, decisions, and context to move the company's most important work forward.

We build the systems and automation that make entire classes of program work self-executing. We are in the architecture conversation early, earning trust through technical judgment. We use AI to surface risks earlier, accelerate program execution plans, and find cross-team patterns that would otherwise stay hidden. The faster teams move, the more essential it is to have someone who can operate across them.

What we expect

These are the expectations we hold for every TPM at the company.

• Technical depth, product domain expertise, and AI systems literacy; knowing how AI solutions work, where they fail, and the scope and impact of those failures. AI brings more complexity into the picture - the technical bar is higher, not lower.
• Build the systems that reduce the need for coordination
• Identify what matters before anyone asks, and automate the rest
• Engineer program lifecycles end‑to‑end
• See what no single team can see and own the solution
• Drive the company's most technically complex and consequential bets through cross‑functional agreement, organizational visibility, and influence
• Build AI powered automation tools and deploy them at every stage of program execution

What you will do

See Across: Identify What No Single Team Can See

• Own large cross‑functional programs spanning multiple engineering orgs, product, and business functions
• Proactively surface systemic risks, cross‑pod dependencies, and organizational friction before they become escalations
• Build and maintain SVP‑level visibility through tracked KPIs on the company’s highest‑priority initiatives
• Uses technical credibility, trusted relationships, and product domain expertise to bridge the gaps between functions where misalignment is expensive

Engineer Away: Automate What Shouldn’t Require Humans

• Identify repeatable program archetypes and engineer the lifecycle end‑to‑end with AI solutions; the goal is to make the program run itself
• Build automation that reduces the need for coordination, eliminating program overhead so engineers and PMs spend time only on work requiring human judgment
• Contribute to the TPM toolkit: AI‑powered risk synthesis, dependency tracking, stakeholder mapping, and program templates
• Drive the shift from manual coordination to self‑executing program infrastructure

Drive Completion: Move The Company’s Most Complex Bets Forward

• Lead programs across four archetypes: deep technical, large cross‑functional, product delivery, and operational
• Accelerate alignment by removing friction and overhead, not by adding process.
• Hold the judgment call on when to ...
• Own outcomes, not activities - your value is measured by what ships and what never had the chance to become a problem

What we are looking for

Required

• 3+ years of technical program management at a high‑growth technology company
• Demonstrated ability to drive large, ambiguous, cross‑functional programs to completion with minimal direction
• Engineering credibility earned through hands‑on experience with technically complex domains — observability, infrastructure, data platforms, or AI/ML systems including model training pipelines, ML infrastructure, and GPU compute. You can go deep on architecture and system design, push back on technical decisions, and hold your own in the room with staff engineers and senior ICs.
• Track record of earning trust with senior engineering and product leadership - not through title, through judgment
• Strong written and verbal communication; comfortable owning the narrative at VP+ levels
• Active AI practitioner, you use AI tools in your daily work and can demonstrate how they’ve changed your leverage
• You have built something, a tool, a template, an automated workflow, that other people use

Strong Signal

• You identified a systemic problem no one asked you to find and built the operating system to solve it
• You automated a program lifecycle or workflow that previously required manual coordination