Enterprise sales professionals with BFSI sector experience and consultative selling skills will find this strategic role in India's financial services market.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Anthropic via Greenhouse
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
We are seeking an Enterprise Account Executive, Industries - BFSI to pioneer Anthropic's enterprise AI adoption across India's banking, financial services, and insurance sector. You will build our presence from the ground up, securing transformative deals with leading banks, NBFCs, insurers, and fintechs, and establishing Anthropic as their trusted AI partner for digital transformation. You will navigate the complex, regulated environment of Indian financial institutions and position Claude as the AI solution that drives both efficiency and innovation while maintaining the highest standards of safety and reliability. As one of our first industry specialists in India, you will shape our BFSI go-to-market strategy and build the playbook for how Anthropic serves financial institutions, working closely with global teams while adapting our approach to local market dynamics. This position is based in Bangalore, Mumbai, or NCR, with travel across India.
Key responsibilities
Establish Anthropic's enterprise presence across India's BFSI sector, including public and private sector banks, NBFCs, insurers, asset managers, and fintechs
Develop BFSI-specific strategies that account for RBI, IRDAI, and SEBI requirements, data localization needs, and sector compliance standards
Build relationships with key stakeholders, including CXOs, Chief Risk and Compliance Officers, digital transformation leaders, and innovation heads at India's top financial institutions
Create the India BFSI playbook for enterprise AI adoption, documenting successful approaches that can scale across the region
Own end-to-end sales cycles for complex, multi-stakeholder enterprise deals, often involving board-level decisions
Drive strategic expansion within lighthouse accounts that can serve as references for the entire BFSI industry
Navigate procurement processes unique to Indian financial institutions, including vendor risk assessments, rate contracts, empanelment procedures, and multi-year agreements
Collaborate with system integrators and consulting partners who often influence technology decisions at banks and insurers
Co-innovate with customers to develop BFSI use cases, from vernacular customer service and fraud detection to credit underwriting and automated compliance reporting
Understand sector-specific challenges such as financial inclusion, legacy core banking modernization, and data security in regulated environments
Position AI strategically within the context of Digital India initiatives and financial sector modernization programs
Ensure successful deployments that can scale from proof-of-concept to enterprise-wide implementation
Partner with global product teams to prioritize features critical for Indian financial institutions, such as multi-language support, data residency, auditability, and integration with local systems
Collaborate with legal and compliance teams to navigate India's evolving AI and data protection regulations
Provide market intelligence on competitive dynamics, pricing expectations, and emerging BFSI use cases unique to India
Build internal alignment between Anthropic's global strategy and India's market requirements
Minimum qualifications
15+ years of enterprise sales experience in the Indian market, with a proven track record of closing large, complex deals, ideally across BFSI sector
Deep understanding of how Indian financial institutions operate, including decision-making processes, budget cycles, and stakeholder dynamics
Experience selling transformational technology (Cloud, AI/ML, Digital Transformation platforms) to Indian enterprises
Established relationships with senior executives across banks, NBFCs, insurers, or fintechs
Understanding of the Indian regulatory landscape, including RBI, NSE, IRDAI, and SEBI requirements, data protection laws, and sector-specific compliance
Consultative selling expertise, with the ability to position AI as a strategic business driver rather than just a technology solution
Complex deal structuring experience, including multi-year contracts, phased deployments, and outcome-based pricing
Technical acumen to engage credibly with CTOs, architects, and data science teams
Cross-cultural communication skills to work effectively with both Indian stakeholders and global teams
Entrepreneurial mindset and the ability to build a market from scratch with limited local resources initially
Patient yet persistent approach to long enterprise sales cycles, while maintaining momentum
Preferred qualifications
Experience selling directly into large Indian banks, insurers, or financial conglomerates
Relationships with Indian system integrators such as TCS, Infosys, Wipro, and HCL, particularly their BFSI practices
Familiarity with Indian business groups and conglomerates, and how decisions flow within these complex organizations
Track record of first-in-market roles or launching new products in India
Domain expertise in areas critical to Indian financial services, such as UPI payments, core banking systems, KYC/AML compliance, Aadhaar integration, or insurance underwriting
Knowledge of government initiatives such as Digital India and their impact on financial sector technology adoption
Experience navigating public sector bank and PSU sales processes is a plus
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.
Source: Anthropic careers (Greenhouse)