Technical Program Manager, GTM Systems

About Anthropic Anthropic’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 Anthropic'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 Deadline to Apply: None. Applications are reviewed on a rolling basis. 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 Logistics 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 encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. 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 Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic 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—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic 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 Anthropic, 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! Anthropic 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. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.