Head of Enterprise Sales - India
Location
Mumbai OR Gurgaon
Job Type
Full-Time
Experience Level
Executive or Staff-level (10+ Years)
Salary Range
Not disclosed
Job Description
About the role As the Head of Enterprise Sales, India at Anthropic, you will spearhead the strategic development and execution of our AI products, including Claude, across India. This role represents a critical leadership position in expanding Anthropic's presence in one of the world's fastest-growing and most dynamic technology markets. You will initially establish and lead a specialized team of enterprise sales professionals across the region, creating our foundational sales infrastructure for that customer segment. After successfully establishing our regional presence, this role will likely transition to focus on a specific sub-region or sub-segment as we scale our India operations. Your responsibilities will encompass building the sales team, developing strategic partnerships with our customers, , collaborating with our Product team to ensure regional market fit, and maintaining alignment with our global headquarters strategy. This position requires deep enterprise sales expertise, preferably with exposure to AI technologies, and the ability to navigate the complex regulatory and cultural landscape of the Indian market. Responsibilities Develop and execute comprehensive India go-to-market strategy for Enterprise customers Build and lead a high-performing, sustainable Enterprise sales team and motion across the region, including executing against a predefined list of tentpole strategic customers Establish strategic partnerships with major technology partners Collaborate with Product, Marketing, and Customer Success teams to adapt offerings for the Indian market Conduct market analysis to identify opportunities and refine our regional approach Navigate complex, multi-stakeholder sales processes within large organizations Craft and execute strategies to differentiate Anthropic and capture market share, addressing the unique challenges of being a second-mover in the AI industry Ensure alignment between regional operations and global corporate strategy, representing India's priorities to global leadership Represent Anthropic with key customers and across partner events, communicating our trust and safety principles effectively Ensure our trust and safety principles are effectively communicated to our enterprise clients You may be a good fit if you have 18+ years of experience in enterprise sales, with at least 5 years in leadership roles managing large-scale sales operations Have a proven track record of success in enterprise sales, particularly in selling technical API products or services Possess experience selling through partner sales and ideally through cloud partners Demonstrate an ability to build and scale enterprise sales teams in a high-growth environment Have successfully sold into India's leading enterprises, digital natives and conglomerates Show a history of creative problem-solving and persistence in competitive markets Possess deep knowledge of the enterprise tech industry, particularly in areas like cloud services, data management, or AI Excel at building internal champions within client organizations Are driven by a desire to to create trust and have experience overcoming significant market challenges Ideal Candidate Profile The successful candidate will possess both strategic vision and operational excellence, with the ability to navigate diverse cultural and regulatory environments across India. You will be responsible for establishing Anthropic's enterprise sales presence in this region while building the foundation for future expansion and specialization. This role offers exceptional opportunity for a seasoned sales leader to shape the adoption of frontier AI technology in one of the world's most exciting and rewarding markets 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.
About Anthropic
We're an AI research company that builds reliable, interpretable, and steerable AI systems. Our first product is Claude, an AI assistant for tasks at any scale. Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.
Connections
Sai Charan
Senior Developer
Kalpana Sharma
Team Lead
Rahul Patel
Full Stack Developer
Priya Singh
Frontend Developer
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