Anthropic · San Francisco
Otherposted 4mo ago
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.
Our Go-To-Market organization helps enterprises understand, adopt, and scale Claude responsibly. Within GTM, the Partner Enablement team builds the programs, credentials, and learning infrastructure that allow our ecosystem of system integrators, cloud providers, and technology partners to build deep Claude expertise and deliver successful customer outcomes at scale.
We work cross-functionally across Partnerships, Sales, Applied AI, Product, and Marketing to make sure partner-facing programs are clear, consistent, and high-impact.
We're looking for a Partner Enablement Lead, System Integrators to define and scale how Anthropic enables its SI ecosystem.
This role is responsible for translating partnership and product strategy into clear, repeatable programs that help system integrators build, sell, and deliver with Claude. You will own enablement for a portfolio of our most strategic global SIs and set the strategy, operating model, and team that extends that work across the broader service provider ecosystem, from global integrators to regional and specialist firms.
This is a highly cross-functional leadership role that combines 0 to 1 building with scaling global programs. You'll work closely with Partnerships leadership and teams across Sales, Applied AI, Product, Marketing, and Enablement to ensure partner-facing initiatives land clearly and drive measurable outcomes.
Define and lead Anthropic's enablement strategy for the global system integrator ecosystem
Serve as the enablement lead for a portfolio of strategic global SIs, accountable for practitioner readiness and certification outcomes
Build and scale the SI enablement function, including team, operating model, and coverage approach across partner segments
Design and operationalize repeatable programs across onboarding, technical workshops, train-the-trainer, hackathons, and product launches
Develop partner learning pathways and certification delivery models that scale across large practitioner populations
Create high-quality enablement content such as playbooks, solution guides, and technical assets
Enable Anthropic sellers and partner managers to engage, position, and co-sell effectively with SIs
Partner cross-functionally to align priorities, share infrastructure, and ensure consistent execution across partner-facing initiatives
Establish metrics and reporting to track partner activation, certification progress, pipeline contribution, and program effectiveness
Build feedback loops that bring partner insights back into enablement, product, and GTM strategy
7-10+ years of Partner Enablement, Alliance or Sales experience
Have built and scaled partner enablement or practice development programs in high-growth technology environments
Have deep experience working with or inside large global system integrators and understand how they build, staff, and grow a technology practice
Bring existing senior relationships across the SI ecosystem and the executive presence to influence practice and alliance leadership
Turn complex product and GTM strategy into clear, scalable programs
Are an effective operator who can lead cross-functional initiatives across complex organizations
Thrive in fast-paced, ambiguous environments and enjoy building from 0 to 1
Think in systems, operating models, and tiered coverage rather than one-off efforts
Are technically curious about AI and credible with both business and technical partner audiences
Experience building or running an authorized training partner or certified instructor network
Prior ownership of, or close partnership with, a technology certification program
Time spent inside a GSI's AI, data, or cloud practice, or on a hyperscaler's SI alliance team
A track record connecting enablement activity to pipeline and revenue outcomes
Experience scaling programs across multiple regions, including offshore delivery centers
People management experience with distributed or matrixed teams
This role must be based in one of our hubs: San Francisco, New York, or London. We operate a hybrid model and expect regular time onsite with partners and at Anthropic offices. Expect roughly 25-35% travel.
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.
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.
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.
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.