Commercial Operations Program Manager

United States Digital Space LLC; United States; Hybrid; USD 190,000 - 235,000; Full time

Job summary

United States Digital Space LLC is seeking an experienced Program Manager for Commercial Operations. You will transform the commercial infrastructure into a revenue accelerator, delivering scalable launches and end-to-end processes that support rapid product growth.

You’ll own cross-functional programs with Product, Engineering, Finance, Legal, and GTM, building tiered launch readiness, playbooks, SLAs, and tooling. The role combines strategic thinking with hands-on operational excellence.

Qualifications

• 10+ years of experience in operations, with success in billing and commercial operations.
• Strong knowledge of billing, subscriptions and payments platforms.
• Experience building scalable programs in high-growth SaaS environments.
• Willing to roll up your sleeves and do the operational work while leading a team.
• Experience with automation initiatives and partnering with engineering teams to build tooling.
• Strong analytical abilities and ROI-focused mindset.
• Excellent cross-functional collaboration across GTM, Finance, Product, and Engineering.

Responsibilities

• Lead end-to-end launches with commercial-readiness requirements and collaboration with product teams.
• Identify bottlenecks and drive process and system improvements across partner teams.
• Build program components: launch tiering, readiness criteria, playbooks, templates, SLAs.
• Own major program-improvement workstreams like instrumentation and workflow tooling.
• Collaborate with Product, Engineering, Finance, and GTM to design interfaces and processes.

Skills

Billing systems

Payments platforms

Operational leadership

Cross-functional collaboration

Process improvement

Automation tooling

Education

Bachelor's degree or equivalent

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.

We are seeking an experienced Program Manager for a critical pillar of our Program Management function: Commercial Operations. This role will transform our commercial infrastructure into a revenue accelerator, building and executing the operational leverage that enables the company to maintain velocity as we scale. You'll be responsible for managing and enhancing processes that support rapid product growth. The ideal candidate combines strategic thinking with operational excellence, someone who can both envision where we need to be in 12 months and build the infrastructure to get us there.

Responsibilities

• Play a central role on the team that runs the company's programs for Commercial Launches — helping evolve an established launch motion into a scalable, well-instrumented program that keeps pace with an accelerating product roadmap

• Run launches end-to-end through the Commercial launch process: lead intake and scoping for your portfolio of launches, translate each into its commercial-readiness requirements (pricing,, billing,, tax, marketplace, compliance and selling motions), and collaborate with product teams to develop paths to launch

• Identify where launches slow down today and drive resolution to prevent them from recurring: propose and implement process and system changes, clarify ownership drive completion across partner teams like, Product, Engineering, Finance, Legal, and GTM.

• Build specific program components that don't exist yet — launch tiering, readiness criteria, playbooks, templates, SLAs; and develop training that shifts programs from late-stage gatekeeper to early-stage partner

• Take ownership of major program-improvement workstreams such as instrumentation (pipeline visibility, readiness scorecards, guides, throughput and cycle-time metrics) or workflow tooling and automation (intake, tracking, approvals, status) in partnership with Engineering and systems teams

• Work cross-functionally with Product, Engineering, Finance, and GTM teams to design clear interfaces and processes that span multiple teams

You may be a good fit if you have

• Experience building and running new product introduction processes

• 10+ years of experience in operations, with demonstrated success in billing, payments, or commercial operations (high-volume SaaS experience a plus)

• Strong working knowledge of billing systems, subscription management, and payments platforms

• Proven track record of building and scaling operational programs in high-growth environments — taking things from 0-1 and then scaling beyond

• Willing to roll up your sleeves and do the operational work of building while also leading a team

• Experience with automation initiatives and partnering with engineering teams to build operational tooling

• Strong analytical abilities, problem-solving skills, and the ability to demonstrate ROI on operational programs

• Excellent cross-functional collaboration skills with the ability to influence stakeholders across GTM, Finance, Product, and Engineering

• Adaptability and comfort working in fast-paced, ambiguous environments where you need to balance multiple priorities simultaneously

• Excitement about building the operational backbone that enables the company to stay on the exponential

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

$190,000—$235,000 USD

LogisticsMinimum 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 have 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.

Your safety matters to us. To protect yourself from potential scams, remember that the company recruiters only contact you from@the company.comemail addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of the company. Be cautious of emails from other domains. Legitimate the company recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visitthe company.com/careersdirectly for confirmed position openings.

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, C