GTM Enablement, Sales Productivity
AnthropicSan Francisco, CAPosted 16 March 2026
Job Description
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 an experienced and engaging enablement professional who can help foster the skills of our new sellers and run our ongoing enablement process and support GTM onboarding. As a key member of the Go-to-Market team, you will drive the early education of our customer-facing teams to ensure they are ramped effectively. This role demands the ability to translate complex AI concepts into compelling and interactive training. Leading the onboarding program, you will create one of the first impressions for a fast-growing sales team, leaving a lasting impact on their careers at Anthropic.
You will have the opportunity to build an ongoing and onboarding process from the ground up. You will ensure our sellers are quickly equipped to provide the best solutions to our customers, operating as thought leaders in the AI space.
Responsibilities:
Lead the onboarding classes for our customer-facing teams
Lead multiple trainings through various delivery methods including in-person, virtual, and pre-recorded enablement
Own the end-to-end processes of enablement from content production to facilitation
Oversee a Learning Management System, including exam creation, tool administration, and content management
Interface with Sales leaders to align on priorities and continually improve the onboarding experience based on the GTM strategy
Identify the core competencies that make our Account Executives and technical teams successful, adapting trainings to their specific needs
Leverage Claude and advanced technologies to scale the onboarding process
Monitor KPIs and measure success, making data-driven decisions to improve the program
You may be a good fit if you have:
5+ years of experience in a customer-facing role for complex technology, particularly experience with AI/ML products or enterprise software
5+ years of experience in an enablement role, particularly leading onboarding programs
Demonstrated ability to thrive in a fast-paced environment, with a proven track record of leading enablement initiatives at technology companies
Exceptional strategic thinking, writing, and storytelling skills, with the ability to distill complex technology into relatable narratives
Experience successfully working and collaborating with Sales leaders, Product, Marketing, Operations, and others to tell impactful stories
Personable and engaging demeanor with the ability to lead a classroom
Deep understanding of sales processes and methodologies
Proactive and scrappy approach, combining strategic thinking with a willingness to roll up your sleeves
Strong project management and analytical skills
Collaborative leadership skills to influence stakeholders at all levels
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:
$190,000
$270,000 USD
Logistics
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
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 ... (truncated, view full listing at source)
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