About this Global Head of Sales & Partner Enablement role at Anthropic
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:
Anthropic is seeking a Global Head of Sales & Partner Enablement to build the engine that makes our entire go-to-market organization and the partner ecosystem around it world-class at bringing Claude to the enterprise. As Anthropic scales rapidly across segments, geographies, and routes to market, this leader will architect how thousands of sellers, solution architects, and partners learn, ramp, and win. You will design the global enablement strategy spanning onboarding, continuous learning, sales methodology, product launch readiness, and partner certification ensuring that everyone who represents Claude can articulate its value with technical credibility and commercial precision. This is an opportunity to define what AI-era enablement looks like: using Claude itself to reinvent how a global field organization learns and performs.
Responsibilities:
- Architect and execute a comprehensive global enablement strategy spanning direct sales, partner ecosystems, and customer-facing technical teams
- Design and continuously improve onboarding, ramp, and certification programs that measurably reduce time-to-productivity for new sellers worldwide
- Implement and adapt sales methodology, deal qualification, and coaching frameworks suited to complex, technical, multi-stakeholder enterprise sales cycles
- Build partner enablement programs — training, certification, and co-selling readiness — for cloud partners, GSIs, and the broader channel ecosystem
- Partner with product and product marketing teams to translate a fast-moving roadmap into launch enablement, technical fluency programs, and field-ready content
- Align regional enablement plans with GTM leadership across the Americas, EMEA, APAC, and emerging markets, balancing global consistency with local needs
- Scale enablement infrastructure, data, and processes in alignment with Revenue Operations, ensuring shared systems and a single view of field performance
- Establish enablement performance metrics and instrumentation to assess ramp time, content adoption, certification, pipeline impact, and revenue contribution
- Build, develop, and manage a high-performing global enablement team with specialized capabilities across programs, content, and delivery
- Champion innovative, AI-powered approaches to learning, coaching, and content — using Claude to set the standard for modern enablement
- Collaborate with marketing on messaging frameworks and content strategy so the field and partners tell one consistent, compelling story
You may be a good fit if you:
- Have 15+ years of experience in sales enablement, GTM readiness, or revenue productivity roles, with at least 7 years in senior leadership positions driving enablement strategy for global technology organizations
- Possess a proven track record of building enablement functions that measurably improved ramp time, win rates, and field productivity at scale
- Have deep experience enabling complex, technical products for enterprise sales motions with long, multi-stakeholder buying cycles
- Have built partner enablement and certification programs across cloud providers, GSIs, or channel ecosystems
- Are highly collaborative, able to partner effectively with sales leadership, product, marketing, revenue operations, and C-suite executives
- Have experience building and scaling global enablement teams and developing specialized enablement talent across regions
- Demonstrate strong analytical orientation, with experience instrumenting enablement and connecting programs to revenue outcomes
- Have technical fluency sufficient to understand, teach, and credibly represent AI/ML products to technical and business audiences
Strong candidates may have:
- Experience enabling AI, cloud infrastructure, or developer-platform sales organizations
- Background scaling enablement through hypergrowth, including international expansion and new route-to-market launches
- Proven success implementing modern enablement platforms and AI-powered learning or coaching tools
- Experience designing enablement for both velocity/SMB and strategic enterprise motions within one organization
- Track record of managing global enablement budgets and demonstrating ROI to executive leadership
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.
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.
