Role description
AnthropicAbout 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's sales organization is growing quickly across segments, industries, and geographies, and enablement needs to be reinvented to keep up. We are looking for a Head of Enablement Experience & Innovation to build the next generation of enablement with a Claude-first approach: hyper-personalized for each seller, delivered in the flow of work, and measured by what it changes.
Most sales enablement still runs on courses, content libraries, and one-size-fits-all programs. You will start instead from what Claude makes possible: understanding what sellers need, designing experiences around their role, tenure, and live deals, and bringing the right guidance into the tools where they already work. This is a rare chance to define what enablement looks like when it is built on the product we sell.
This is a leadership role for an innovator with deep expertise in using AI for enablement and a background in user experience design, product management, or workflow design. You have shipped experiences at scale and can show that people used them and performed better. You will start as an individual contributor, set direction, and build a team over time, staying close enough to the field to know when something is not working.
Key responsibilities:
Set the vision and roadmap for a Claude-first approach to enablement, deciding what to build, what to retire, and how enablement is designed and delivered
Use Claude to tailor learning to each seller's role, tenure, and live deals
Design workflows that bring guidance to sellers in the tools they already use, at the moment they need it
Lead the learning platform, enablement tools, playbooks, and content hub, using Claude to keep knowledge accurate, current, and easy to find
Run enablement like a product: lead discovery with sellers and sales leaders, work with engineering and design, and test on live deals before scaling
Track adoption and the impact on ramp time, win rate, and attainment, and act on what the data shows
Partner with Sales Leadership, Revenue Operations, Product, Marketing, and the wider Sales Enablement team so that programs, systems, and workflows feel like one experience
Run fast experiments with new Claude capabilities, scale what works, and set clear standards for responsible AI use and data governance in enablement
Minimum qualifications:
Deep, hands-on expertise using AI to design and deliver enablement or learning at scale, such as personalized learning, AI coaching, or guidance in daily workflows
Background in user experience design, product management, or workflow design, applied to enablement, learning, or sales tools
Have led the design and launch of a product or learning experience at scale, and can show how adoption and results changed
Have worked directly with senior sales leaders and frontline managers to secure sponsorship for change, including holding a position constructively when they disagreed
Have tested and improved programs with sellers and sales leaders before scaling them
Have defined and tracked adoption and impact measures that go beyond completion and satisfaction scores
Have run programs across multiple geographies, segments, or roles
Preferred qualifications:
Experience building and leading a team of senior enablement professionals, and comfort delivering hands-on until you have one
A clear, experience-based view of why learning programs often fail to change how sellers work
Prior experience in a sales or customer-facing role
Experience at an AI company or an enterprise technology company during a period of rapid sales team scaling
Hands-on experience building with Claude or similar AI tools to personalize learning or improve how people find knowledge
Clear written and spoken communication with executive audiences
Experience selecting and running learning platforms and enablement tools
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:
$310,000—$360,000 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.
For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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.