Technical Program Manager, GTM Systems

United States Digital Space LLC; New York, San Francisco (NY, CA); Hybrid; USD 290,000 - 365,000; Full time

Benefits offered by this job

Competitive compensation

Equity donation matching (optional)

Generous vacation and parental leave

Flexible working hours

Office space in San Francisco

Job summary

United States Digital Space LLC is seeking a Technical Program Manager to own delivery for the GTM systems portfolio, including Salesforce-centric processes from lead capture to marketplace tooling.

You will collaborate with Business Systems Analysts and developers, manage dependencies, and drive roadmap execution while guiding cross-functional teams. Hybrid work policy applies to our US offices.

Qualifications

• 6+ years of technical program management or business systems delivery.
• Experience in Salesforce-centric GTM or RevOps environments.
• Proven end-to-end roadmap delivery across multiple teams.
• Experience partnering with audit/compliance on revenue systems.
• Ability to translate between analysts, developers, sales ops and finance.
• Curious about AI's impact on GTM operations and willing to experiment.

Responsibilities

• Own delivery for your program area's roadmap: intake, prioritization, sequencing, status, and cadence.
• Manage your program's dependencies on the shared GTM platform.
• Partner with Business Systems Analysts on requirements and design, and with developers on tradeoffs and vendor evaluation.
• Help build scalable operating models for a growing portfolio.
• Provide leadership with clear commitments, risks, and progress to GTM Systems and Sales.
• Help bring Claude into the GTM workflow to accelerate sellers and partner managers.

Skills

Salesforce GTM / RevOps

Roadmap ownership

Cross-functional leadership

Stakeholder management

Sales operations knowledge

AI in GTM

Education

Bachelor's degree or equivalent

Tools

Salesforce

CI/CD

SOX ITGC

Release management

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

GTM Systems builds and operates the platform the company’s sales and partner teams run on: Salesforce as the core, plus the lead, marketplace, integration, and AI tooling that connect to it. The team is organized into experience pods, each owning one stage of the seller and partner journey.

We’re hiring a Technical Program Manager to own program delivery for the GTM systems portfolio. You’ll drive roadmap execution, manage the dependencies spanning the seller and partner journey, from lead capture and routing through the core selling motion to marketplace and co-sell tooling,

Responsibilities

• Own delivery for your program area's roadmap: intake, prioritization, sequencing, status, and the operating cadence
• Manage your program’s dependencies on the shared GTM platform
• Partner with Business Systems Analysts on requirements and design, and with developers on technical tradeoffs, build-vs-buy calls, and vendor evaluation
• Help build the operating model for a team that’s scaling: intake, planning, and sequencing practices that hold up as the portfolio grows
• Give GTM Systems and Sales leadership a clear view of your program’s commitments, risks, and progress
• Help bring Claude into the GTM workflow where it makes sellers and partner managers faster

You may be a good fit if you

• Have 6+ years of technical program management or business systems delivery experience, with a track record of owning a roadmap end to end
• Have worked in or close to a Salesforce-centric GTM or RevOps systems org and understand how lead, opportunity, partner, and quote objects connect
• Have managed delivery where multiple teams ship into one core system on a shared release process
• Have partnered with audit, controls, or compliance functions on revenue-impacting systems work
• Can build trust with business systems analysts, developers, sales operations, and finance, and translate between them
• Are comfortable driving outcomes across teams that don’t report to you
• Are genuinely curious about how AI changes GTM operations and willing to experiment

Strong candidates may also have

• Experience with one or more of: lead routing and scoring platforms, marketplace and co-sell tooling, CPQ, partner relationship management
• Background in RevOps, sales systems product management, or business systems analysis
• Experience standing up release management or CI/CD for a Salesforce org
• Familiarity with SOX ITGC or revenue controls

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:

$290,000—$365,000 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.

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 corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.