Technical Program Manager, Launches

United States Digital Space LLC; New York, San Francisco (NY, CA); Hybrid; USD 365,000 - 435,000; Full time

Job summary

United States Digital Space LLC is seeking a Technical Program Manager for Product to drive AI capabilities to market. You will orchestrate across research, engineering, product, infra, and go-to-market teams to ensure reliable, on-time launches.

You will partner with researchers and engineers to sequence work, manage dependencies, and make tradeoffs under pressure, while building scalable launch processes and documentation.

Qualifications

• Bachelor’s degree or equivalent in a relevant field.
• Experience leading cross-functional, high-stakes programs with external dependencies.
• Ability to engage research teams and engineers and translate complex tech to stakeholders.

Responsibilities

• Lead end-to-end program management for model and product launches.
• Drive cross-functional alignment across research, engineering, product, infra, and partnerships.
• Sequence work, manage dependencies, and navigate technical tradeoffs with Research PMs and engineering leads.
• Track and communicate program status, risks, and dependencies to leadership.
• Develop launch processes, playbooks, and documentation to scale with complexity.

Skills

Program management

Cross-functional collaboration

ML/AI knowledge

Stakeholder management

Communication skills

Education

Bachelor's degree

Job description

About the company

the company’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the Role

As a Technical Program Manager for Product, you'll drive the programs that bring the company’s AI capabilities to the world. You’ll work closely with research teams to understand new model capabilities, then orchestrate across engineering, product, infrastructure, and go-to-market teams to ensure we launch reliably and at pace. This role is essential in orchestrating the cross-functional effort required to launch successfully as the company continues to scale.

This role offers unique challenges in coordinating high-stakes technical programs while maintaining the quality and reliability our customers expect. This position requires deep technical fluency, the ability to earn trust with researchers and engineers, and a talent for driving alignment across teams with different priorities and working styles.

Responsibilities

• Lead end-to-end program management for model and product launches, coordinating between research, engineering, product, infrastructure, and partnership teams
• Drive cross-functional alignment and decision-making across workstreams, ensuring teams are unblocked and launches stay on track
• Partner closely with Research PMs and engineering leads to sequence work, manage dependencies, and navigate technical tradeoffs
• Track and communicate program status, risks, and dependencies to leadership and stakeholders
• Build strong relationships with technical stakeholders, earning trust through deep engagement with the details
• Coordinate with research teams to understand upcoming model capabilities and prepare launch plans accordingly
• Navigate tradeoffs between speed, quality, and scope, helping teams make informed decisions under pressure
• Develop and improve launch processes, playbooks, and operational frameworks that scale with our growing complexity
• Create and maintain documentation of launch processes, decision logs, and cross-functional dependencies

You may be a good fit if you

• Have several years of experience in technical program management, with a track record of successfully delivering complex, cross-functional programs
• Possess deep technical knowledge that allows you to engage meaningfully with ML researchers and engineers
• Have experience managing programs with significant external dependencies and multiple stakeholder groups
• Excel at translating between technical teams and stakeholders, making complex tradeoffs understandable
• Can thrive in ambiguous situations, bringing structure to complex technical challenges
• Have strong organizational skills and can manage multiple parallel workstreams effectively
• Are comfortable operating at a fast pace where priorities shift and new challenges emerge quickly
• Have excellent written and verbal communication skills, with the ability to influence without authority
• Build trust quickly and maintain strong relationships even under pressure
• Are passionate about the company's mission and interested in the challenges of bringing frontier AI capabilities to users safely

Annual Salary:

$365,000—$435,000 USD

Minimum education

Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study

A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience

Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy

Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship

We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We think AI systems like the ones we're building has enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

How we're different

We believe that the highest-impact AI research will be big science. At the company we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to the company, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

the company is a public benefit cor