Anthropic: Enterprise Account Executive, Industries - BFSI — Mumbai, India

About Anthropic

Anthropic is an AI research and product company. It studies AI safety and alignment and develops the Claude family of language models, offered to individuals, developers and enterprises through chat products and application programming interfaces. The company is based in San Francisco and operates as a public benefit corporation, and its employer feed covers research, engineering and safety-focused roles for this work.

The position and its setting

Anthropic lists Enterprise Account Executive, Industries - BFSI in Mumbai, India, under reference 5426651008. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Sales
• Employer listing date: 28 September 2026

Responsibilities and work described

• 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
• Building: 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
• 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
• This position is based in Bangalore, Mumbai, or NCR, with travel across India
• Establishment: Anthropic's enterprise presence across India's BFSI sector, including public and private sector banks, NBFCs, insurers, asset managers, and fintechs
• Development: BFSI-specific strategies that account for RBI, IRDAI, and SEBI requirements, data localization needs, and sector compliance standards
• Building: 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
• Collaboration: 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
• Quality / delivery: successful deployments that can scale from proof-of-concept to enterprise-wide implementation

Essential requirements and candidate background

• 15+ years of enterprise sales experience in the Indian market, with a 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: 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
• 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 candidates will meet every single qualification as listed
• We think AI systems like the ones we're building have enormous social and ethical implications

Experience and professional background

• Experience navigating public sector bank and PSU sales processes is a plus

Preferred experience and additional strengths

• 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: 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: government initiatives such as Digital India and their impact on financial sector technology adoption

Location, schedule and contract conditions

• 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
• Advertised location: Mumbai, India

Conditions requiring the complete notice

Some passages contain complex or combined conditions that have not been reduced to short eligibility statements here. Read the complete linked notice for those passages, including any alternatives, exceptions or restrictions. The concise facts above should not be treated as the full wording of every condition.

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Enterprise Account Executive, Industries - BFSI vacancy is not an offer for reference 5426651008; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Anthropic

Applications follow the official employer page linked below.

Open the official Anthropic posting below and match the title and reference 5426651008.

Compare your qualifications and experience with the essential conditions for the Mumbai, India position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: AI

An AI-related example should make the task and evaluation explicit. Explain the inputs, the system’s intended output and how you checked errors, usefulness or reliability, rather than relying on the model name alone.

Relevant skills

• AI/ML
• AI
• audit
• compliance
• banking
• insurance
• sales
• customer support
• training