Anthropic
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
As an early member of our India Revenue Strategy & Operations team, you'll play a hands-on role supporting revenue growth across key market segments by partnering with sales leadership to execute region-specific strategies. You'll be close to the day-to-day of the business — running the operational cadence, building the analysis, and keeping our systems and processes running smoothly as we scale in India.
You'll work closely with S&O counterparts across Japan, South Korea, Singapore, Australia, and the wider APJ region, learning from and contributing to how we operate across the region.
Responsibilities:
Go-to-Market Operations:
- Support the Go-to-Market planning process for India, including quarterly and annual cycles, and help prepare inputs for target setting with Finance.
- Assist in territory and account segmentation, keeping assignments accurate and up to date as the business evolves.
- Build and maintain reporting on region-specific sales metrics, pipeline health, and forecast accuracy.
- Pull together market and competitive data to support regional expansion priorities.
- Support partner and alliance execution, including co-sell tracking, partner pipeline hygiene, and joint planning logistics.
Analysis & Insights:
- Dig into sales data to surface trends, risks, and opportunities, and translate findings into clear recommendations for sales leadership.
- Build dashboards and recurring reports that give the team visibility into what's working and what isn't.
- Prepare materials for business reviews, QBRs, and leadership updates — pulling the data, building the slides, and helping shape the narrative.
Operations & Systems:
- Execute day-to-day operational processes including account transitions, CRM updates, opportunity hygiene, and data management.
- Help maintain and improve our Salesforce setup, reports, and dashboards for the India team.
- Troubleshoot issues for sales reps and leaders, and partner with global RevOps to implement improvements.
- Support adoption of sales tools and enablement resources across the India team.
Required qualifications:
- 10 to 12 years of experience in revenue operations, sales strategy, business operations, or a related analytical role in B2B SaaS or enterprise software
- Strong analytical and Excel/Google Sheets skills, with the ability to turn raw data into clear insights
- Hands-on experience with Salesforce (reports, dashboards, data management) and comfort working in BI tools (e.g., Tableau, Looker)
- Strong attention to detail and a bias toward action — you like getting into the weeds and shipping work
- Good cross-functional communication skills, with the ability to partner with sales reps, managers, and adjacent teams
- Based in India with working proficiency in English
Strong candidates may also have:
- Exposure to territory design, quota setting, or sales compensation work
- Experience supporting GTM planning cycles or building executive-level reporting
- Familiarity with the broader APJ region and curiosity about how different markets operate
- Experience in a high-growth B2B software environment
- Background in consulting, finance, or business operations
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
Ready to apply?
Apply to Anthropic
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
As an India Public Sector Account Executive at Anthropic, you'll drive the adoption of safe, frontier AI within the Indian government and public sector space, establishing and growing our presence in this strategic market. You'll leverage your consultative sales expertise and deep understanding of the Indian public sector landscape to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, policy, and marketing teams, you'll help define our market entry strategy and value proposition for the Indian public sector.
Responsibilities
- Lead Anthropic's market entry and expansion in the Indian public sector, establishing our presence and building relationships with key stakeholders across central and state government departments, ministries, and agencies
- Own the full sales cycle for Indian public sector opportunities, from initial outreach through to successful deployment, with a focus on building long-term strategic partnerships
- Navigate the unique procurement requirements, security standards, and compliance frameworks specific to Indian government technology adoption, including GeM (Government e-Marketplace) and other procurement channels
- Collaborate with policy teams to ensure alignment with Indian government AI strategies, the IndiaAI Mission, and Digital India initiatives
- Engage actively with government-led AI initiatives, including participation in forums like the India AI Impact Summit and state-level AI conferences
- Design and execute innovative sales strategies tailored to the Indian public sector environment, meeting and exceeding revenue targets while maintaining strong relationships with procurement teams and decision-makers
- Provide market intelligence and feedback to product teams to ensure our offerings meet Indian public sector requirements, use cases, and regulatory considerations
- Build and maintain relationships with relevant systems integrators (including TCS, Infosys, Wipro), technology partners, and government digital transformation partners in the Indian market
- Develop and document best practices for Indian public sector engagement, creating playbooks that can scale our presence in the market
- Serve as a leader within the broader public sector team, sharing insights and collaborating on cross-market opportunities
You may be a good fit if you have
- 12+ years of enterprise sales experience in the Indian public sector, with a proven track record of driving adoption of emerging technologies across central and state government departments
- Deep understanding of Indian government procurement processes (including GeM, tender processes), security requirements, and technology adoption frameworks
- Experience navigating India's regulatory environment, including data localization requirements, IT Act compliance, and emerging AI governance frameworks
- Demonstrated ability to build and grow new market segments, with potential to develop into a leadership role as our India operations scale
- Strong track record of managing complex sales cycles and securing strategic deals in the public sector, with experience in both central and state government engagements
- Experience navigating multiple stakeholders across government departments and ministries, building consensus and providing innovative solutions
- Excellent communication skills and ability to present confidently to all levels, from technical teams to senior government officials and secretaries
- Strategic thinking combined with hands-on execution capabilities
- Ability to work independently while maintaining strong collaboration with global teams
- Comfort operating in a dynamic, high-growth environment with evolving regulatory frameworks
- A passion for safe and ethical AI development, with the ability to articulate its importance in the public sector context, particularly for inclusive development and governance transformation
- Fluency in English required; proficiency in Hindi or other regional languages is a plus
Location: Delhi, India
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
Ready to apply?
Apply to Anthropic
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.
Location - Mumbai
About the role
As an Applied AI team member at Anthropic India, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises across India and the Asia-Pacific region understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.
Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.
Responsibilities:
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Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
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Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success
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Support customers building with both the Claude API and Claude for Work
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Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives
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Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
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Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases
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Identify common integration patterns and contribute insights back to our Product and Engineering teams
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Travel occasionally within India and the APAC region to customer sites for workshops, technical deep dives, and relationship building
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Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns
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Collaborate across time zones with global teams while serving as the technical expert for the India market
You may be a good fit if you have:
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10+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
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Experience working with enterprise customers in India or the APAC region, navigating complex buying cycles involving multiple stakeholders
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Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
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Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
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Experience designing scalable cloud architectures and integrating with enterprise systems
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Comfortable with Python
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Familiarity with common LLM frameworks and tools or a background in machine learning or data science
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Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
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A love of teaching, mentoring, and helping others succeed
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Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
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Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
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Ability to work effectively across cultures and time zones as part of a global team
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
Ready to apply?
Apply to Anthropic
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 a Strategic Finance, GTM member to join our Finance team at Anthropic to partner with sales counterparts. In this role, you will be a key partner to our go-to-market teams, providing financial expertise and guidance to support strategic decision-making. As we continue to grow, you will play a crucial role in analyzing financial data, building models, and delivering insights to drive informed business decisions across revenue goals, sales capacity planning, deal desk and marketing spend returns. This role will work closely with cross-functional teams and collaborate with other members of the finance organization to align go-to-market strategies with broader financial considerations.
Key responsibilities
- Provide expert guidance, recommendations, and influence to go-to-market stakeholders on financial strategies, investments, and resource allocation decisions, leveraging an in-depth understanding of the company's financials
- Partner cross-functionally to drive analysis, build financial models, and recommend business decisions across a variety of areas, such as revenue goals, sales capacity planning and key strategic initiatives
- Prepare and deliver clear, concise, and insightful financial reports, analyses, and forecasts, highlighting key trends, risks, and opportunities to facilitate informed decision-making to stakeholders and executives
- Collaborate with other members of strategic finance, FP&A, and accounting counterparts, helping to align go-to-market with broader financial strategies and considerations
- Establish and implement reporting dashboards and scorecards to track key operational and financial metrics
Minimum qualifications
- Experience across strategic finance, go-to-market finance, private equity, growth equity, venture capital, consulting, and investment banking
- Exceptional analytical skills with an ability to synthesize data into compelling insights and develop / maintain complex financial operating models
- Extraordinary problem-solving and critical thinking abilities to navigate complex financial challenges
- Comfort working cross-functionally and are adept at communicating complex financial information to non-finance audiences
- Excitement about working in a fast paced, dynamic environment and adapt well to change
- Possess a bias towards action, strong work ethic, and have experience driving operational outcomes under tight timelines
- Strong relationship building, business judgment, process management, and communication skills
- Are passionate about Anthropic's mission to build safe, transformative AI systems
Preferred qualifications
- 10+ years of experience across strategic finance, go-to-market finance, private equity, growth equity, venture capital, consulting, and investment banking
- GTM Finance Business Partnership experience
- A combination of 10+ years in strategic finance, paired with several years prior across private equity, growth equity, venture capital, consulting, and investment banking
- Experience with consumption based and/or complex business models
- High knowledge of and interest in effective go-to-market strategies including deal-desk management
- Background in AI, ML, or related technologies
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
Ready to apply?
Apply to Anthropic
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 Beneficial Deployments
Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences, focusing on raising the floor.
About the Role
We're looking for an Applied AI Engineer to join our Beneficial Deployments team. You’ll use your deep technical expertise to help partners accelerate their impact through advising on evals, hill-climbing on harnesses, prototyping new agents, etc. You will also work on building ecosystem-level tooling and infrastructure to scale impact beyond individual partnerships.
Responsibilities
- Serve as a deep technical partner to mission-driven organizations through advising on evals, agent architectures, context engineering, cost optimization, and more
- Provide hands-on support to partner engineering teams through pair programming, prototyping, and code contributions that accelerate their development
- Develop public goods infrastructure that benefits entire ecosystems through benchmarks, MCP’s, and Agent Skills
- Identify challenges unique to social impact partners, and contribute findings and improvements back to product, engineering, and research
- Create technical presentations, demos, and scalable technical content (documentation, tutorials, sample code) to accelerate partner adoption and self-service
- Help shape team processes and culture as we scale from 1 to N
- Travel occasionally to customer sites for workshops, technical deep dives, and relationship building
You Might Be a Good Fit If You Have
- 8+ years as a Software Engineer, Forward Deployed Engineer, or technical founder
- Production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale
- Builder credibility that earns trust with technical founders and engineering teams—you've shipped products and can speak from experience
- Experience working in ed-tech, healthcare, scientific research, nonprofit, or other mission-driven organizations, understanding their unique challenges and constraints
- A love of teaching, mentoring, and helping others succeed
- A scrappy mentality–comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission
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
Ready to apply?
Apply to Anthropic
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
As Anthropic's first Enterprise Account Executive for Industries in India, you'll pioneer our enterprise AI adoption strategy across the subcontinent's diverse industrial landscape. This is a foundational role where you'll build our presence from the ground up, securing transformative deals with India's leading enterprises while establishing Anthropic as the trusted AI partner for digital transformation initiatives.
You'll navigate India's unique enterprise ecosystem—from traditional conglomerates undergoing digital transformation to new-age tech leaders setting global benchmarks. Your deep understanding of how Indian enterprises operate, make decisions, and adopt technology will be crucial in positioning Claude as the AI solution that can drive both efficiency and innovation while maintaining the highest standards of safety and reliability.
As our inaugural Industries generalist in India, you'll have the rare opportunity to shape our go-to-market strategy across multiple verticals, building the playbook for how Anthropic serves Indian enterprises. You'll work closely with our global teams while maintaining the autonomy to adapt our approach to local market dynamics.
The Opportunity
India's enterprise landscape presents unique opportunities for AI adoption—from BFSI (Banking, Financial Services, and Insurance) institutions modernizing their tech stack, to manufacturing giants embracing Industry 4.0, to IT services companies embedding AI into their global delivery models. You'll be at the forefront of this transformation, helping enterprises leverage AI to serve not just India's 1.4 billion people but also their global operations.
Responsibilities
Market Building and Strategy Development
- Establish Anthropic's enterprise presence across key Indian industrial sectors including BFSI, Manufacturing, IT/ITES, Pharmaceutical, Retail, Telecom, and Energy
- Develop sector-specific strategies that account for Indian regulatory requirements, data localization needs, and industry-specific compliance standards
- Build relationships with key stakeholders including CXOs, digital transformation leaders, and innovation heads at India's top enterprises
- Create the India playbook for enterprise AI adoption, documenting successful approaches that can scale across the region
Revenue Generation and Account Development
- 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 their entire industry
- Navigate procurement processes unique to Indian enterprises, including rate contracts, empanelment procedures, and multi-year agreements
- Collaborate with system integrators and consulting partners who often influence enterprise technology decisions in India
Solution Development and Customer Success
- Co-innovate with customers to develop India-specific use cases, from vernacular customer service to automated compliance reporting
- Understand sector-specific challenges such as financial inclusion in BFSI, supply chain optimization in manufacturing, or patient care in healthcare
- Position AI strategically within the context of Digital India initiatives and enterprise modernization programs
- Ensure successful deployments that can scale from proof-of-concept to enterprise-wide implementation
Cross-functional Leadership and Market Intelligence
- Partner with global product teams to prioritize features critical for Indian enterprises, such as multi-language support 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 use cases unique to India
- Build internal alignment between Anthropic's global strategy and India's market requirements
You May Be a Good Fit If You Have
Essential Experience
- 8-10+ years of enterprise sales experience in the Indian market, with a proven track record of closing large, complex deals
- Deep understanding of Indian enterprises 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 multiple industry verticals
Industry and Market Knowledge
- Sector expertise in at least 2-3 major Indian industries with understanding of their unique challenges and opportunities
- Familiarity with Indian business groups and conglomerates, understanding how decisions flow in these complex organizations
- Knowledge of government initiatives like Digital India, Smart Cities, and their impact on enterprise technology adoption
- Understanding of Indian regulatory landscape including data protection laws, sector-specific compliance requirements
Skills and Competencies
- Consultative selling expertise with the ability to position AI as a strategic business driver, not just a technology solution
- Complex deal structuring experience including multi-year contracts, phased deployments, and outcome-based pricing
- Cross-cultural communication skills to work effectively with both Indian stakeholders and global teams
- Technical acumen to engage credibly with CTOs, architects, and data science teams
- Strategic thinking balanced with execution excellence and attention to detail
Personal Attributes
- Entrepreneurial mindset to build a market from scratch with limited local resources initially
- Cultural navigator who can bridge global product capabilities with local enterprise needs
- Relationship builder who understands that trust and credibility are paramount in Indian enterprise sales
- Patient yet persistent approach to long enterprise sales cycles while maintaining momentum
- Passionate about India's digital future and the role AI can play in accelerating economic growth
Strong Candidates May Also Have
- Experience with Indian conglomerates like Tata, Reliance, Aditya Birla, Mahindra groups
- Relationships with Indian system integrators such as TCS, Infosys, Wipro, HCL
- Track record of first-in-market roles or launching new products in India
- Domain expertise in areas critical to Indian enterprises like GST compliance, Aadhaar integration, UPI payments
- Graduate degree from premier Indian institutions (IITs, IIMs, ISB)
- Multi-language capabilities especially Hindi and regional languages
- Experience navigating public sector and PSU sales processes
What Makes This Role Unique
As the founding Industries Account Executive in India, you'll have unprecedented influence over how one of the world's leading AI companies serves the world's largest democracy and fastest-growing major economy. You'll build something from scratch—creating the frameworks, partnerships, and success stories that will define Anthropic's presence in India for years to come.
This role offers exposure to India's most transformative enterprises across diverse sectors, from century-old industrial houses embracing AI to digital-native companies setting new benchmarks. You'll be the voice of Indian enterprises within Anthropic, ensuring our products evolve to serve one of the world's most dynamic markets.
The Impact
Your work will directly contribute to India's AI-powered economic transformation, helping enterprises serve billions of customers more effectively while creating new opportunities for growth and innovation. By establishing Anthropic as the trusted AI partner for Indian enterprises, you'll play a crucial role in ensuring AI development remains safe, beneficial, and aligned with Indian values and needs.
This position is based in Bangalore/Mumbai/NCR with travel across India. We're looking for someone who can build a strong local presence while collaborating globally.
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
Ready to apply?
Apply to Anthropic
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.
(Location : Mumbai OR Gurgaon)
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.
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
Ready to apply?
Apply to Anthropic