Partner Specializations Lead

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 The Claude Partner Network is how consulting firms, systems integrators, and other services partners build practices around Claude. When a company chooses a partner, it wants to know which firms have done this work well, in its industry and for its use case. Specializations are how the program will give it: credentials showing that a partner has demonstrated expertise in a given domain area. As Partner Specializations Lead, you'll own this program end to end: the requirements a firm has to meet, the evidence review that decides who qualifies, the benefits that make a specialization worth earning, and the operating rhythm that keeps it credible year after year. Your job is to take an early framework into a structure that scales: opening it to thousands of partners, running evaluation cycles, and launching new specializations with cross-functional input. This role suits someone who likes owning a standard. You'll work with partner managers, operations, enablement, marketing, and industry teams who each hold a piece of the program, and with senior leaders at partner firms who care a great deal about the outcome. A specialization only means something if it's earned, so you'll need to be rigorous with evidence, consistent in your decisions, and firm and clear when the answer is no. Key responsibilities • Own each specialization's requirements, evidence standards, and benefits, and keep them current as our products and the partner network change • Run each evaluation cycle from invitation to decision: collect partner evidence, reconcile it against internal data, lead the review, and document every decision • Make and defend qualification decisions, including borderline cases, and apply the standard consistently across firms of very different sizes • Communicate outcomes to partner executives and their Anthropic account teams, including clear guidance for firms that did not qualify • Open the program to the wider partner network, and recommend which specializations come next based on customer demand, partner readiness, and Anthropic's priorities • Define the evidence standard for new specializations with Applied AI, Product, and industry go-to-market teams • Coordinate the teams that deliver the program's benefits (marketing, the partner directory, field enablement, technical support) so that earning a specialization leads to something real • Work with Partner Enablement so that partner learning paths and certifications support each specialization • Build the operating rhythm: renewal, remediation periods, an appeals path, and the tracking and reporting that show whether the program is working • Design the review process to scale, using Claude and automation so that routine steps don't depend on a person • Write and maintain partner-facing guidance (program guide sections, FAQs, application materials), clear enough for a partner to know where it stands without asking us, and internal guidance for field teams • Use program data to recommend where each requirement's bar should sit and when it should move, and bring those recommendations to partner leadership Minimum qualifications • Experience owning an external-facing program with published requirements (a partner, channel, certification, accreditation, or similar program), including running at least one full evaluation, qualification, or renewal cycle • Experience making qualification or eligibility decisions against a written standard and communicating those decisions, including declines, to senior external stakeholders • Experience working with CRM or PRM data, such as Salesforce reports or a partner portal, as a regular part of your job • Strong writing: able to produce clear program requirements, decision memos, and partner-facing guidance that need little editing • Experience leading work to a fixed date across several teams you do not manage, such as operations, marketing, enablement, and field teams • Work effectively where the process is still being built and the details are still changing • Are excited about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications • Experience designing or running a partner competency, specialization, or credential program at a technology company • Experience with services partners (systems integrators, consultancies) from either side: managing them at a vendor, or building a practice around a vendor's technology at a firm, and an understanding of how those firms decide where to invest their people • SQL or BI-tool skills sufficient to pull and check your own program data • Experience taking a program from its first launch to a repeatable operating cycle • Experience launching a program publicly with marketing and communications partners • Enough technical depth to judge whether a partner's evidence of a software or AI deployment holds up • Experience working with customers in regulated or specialized industries, such as financial services, healthcare, or the public sector • Experience designing partner benefits or incentives, and an understanding of how they change partner behavior • Hands-on experience building AI workflows with Claude or similar tools, and curiosity about how AI changes professional services delivery 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: $300,000—$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.