As a Strategic Account Executive on the GSI team, you'll own a named book of accounts and the full revenue outcome for each. You'll develop a point of view on where Claude creates the most value across a firm's practice areas, advisory services, delivery teams, and internal operations, build relationships with the partners and executives who sponsor transformation at that scale, and expand the partnership well beyond the original buyer.

Responsibilities

• Own all revenue outcomes for a named book of GSI accounts, driving both new logo acquisition and multi-practice expansion through complex, multi-quarter sales cycles involving partner-led approval, global procurement, and custom commercial terms
• Develop a clear thesis for each priority firm , where Claude creates value across knowledge management, advisory workflows, deliverable generation, and client engagements , and execute a sequenced engagement plan across practices, regions, and stakeholders
• Build and independently advance executive relationships with Managing Partners, Practice Leads, MDs, CIOs, CTOs, and Heads of AI/Digital, anchoring every conversation to their strategic priorities: utilization, leverage, realization, and billable productivity
• Proactively create demand in unengaged practice areas and regions, using early wins as proof points to open new doors across decentralized, partner-led organizations
• Build quantified, firm-specific business cases mapped to the GSI operating model , using their own language and metrics , that shape deals rather than justify them after the fact
• Identify and close lighthouse partnerships that become references across the GSI landscape and set up the future sell-with motion
• Partner cross-functionally with Product, Applied AI, Engineering, and Partnerships to inform the roadmap based on GSI buyer needs, and contribute to the playbook, proof points, and commercial structures that become the repeatable GSI motion

Requirements

• 8+ years of enterprise software sales experience with a track record of owning named accounts at large, complex, partner-led organizations (global SIs, strategy consultancies), managing multi-quarter sales cycles through technical evaluations, partner-led approval, and global procurement
• Demonstrated ability to independently build and advance relationships at the Partner, MD, and C-suite level , including practice leadership and innovation/digital executives , and hold credible conversations across both technical and business audience
• Experience building firm-specific business cases grounded in the firm's own operating metrics (utilization, leverage, realization, margin) and defending commercial terms through complex negotiations
• Background selling platform, API, cloud infrastructure, or emerging technology into enterprises evaluating a new category
• Genuine interest in AI and strong alignment with Anthropic's mission of responsible AI development
• A history of growing accounts meaningfully beyond the original engagement by proactively creating demand across new practice areas, regions, and use cases

What Will Make You Stand Out

• Direct experience selling into Global SI’s or strategy consultancies, and fluency in how partner-led firms operate and measure success
• Experience as an early AE in a vertical or segment, where you helped build the sales motion rather than inherit it
• Background selling developer platforms, cloud infrastructure, or AI/ML tooling into traditional partner-led services firms

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.

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The nature of our business means you'll spend significant time helping customers who've already adopted Temporal unlock more value by expanding into additional use cases, teams, and workloads. This is a high-velocity, technically deep role.

You'll partner with developers, architects, and engineering leaders at fast-moving companies to help them understand how Temporal fits into their existing architecture and prove out value through hands-on technical work.

You'll be working in a consumption model where usage grows over time, which means building strong technical relationships and staying engaged with accounts as they scale.

As an early member of a growing team, you should be comfortable with ambiguity, frequent context switching, and creating leverage through reusable assets that help the broader team move faster.

Must reside in San Francisco, CA

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You'll leverage your consultative sales expertise and passion for social impact to secure strategic partnerships with nonprofits, foundations, INGOs, educational institutions, and social enterprises across the EMEA market.

This is a player-coach role requiring someone who can personally close complex deals while building a high-performing regional team. You'll operate with significant autonomy across time zones while maintaining tight alignment with global strategy.

The ideal candidate brings deep experience in the EMEA nonprofit or social impact technology landscape, established relationships with mission-driven institutions, and a proven track record of building teams that drive revenue and mission impact simultaneously.

Responsibilities:

• Win new business and drive revenue for Anthropic within EMEA mission-driven organisations.
• Build and lead a regional team supporting EMEA customers, both inbound and outbound.
• Design and execute innovative sales strategies tailored to diverse EMEA contexts.
• Navigate complex stakeholder ecosystems including INGO executive teams, foundation programme officers, university leadership, trustees, executive directors, and IT departments.
• Develop and maintain relationships with key EMEA ecosystem players.
• Inform product roadmaps by gathering feedback from EMEA nonprofit and education users.
• Continuously refine the EMEA sales methodology by incorporating learnings into playbooks, templates, and best practices.

You May Be a Good Fit If You Have:

• 8+ years of B2B sales experience in nonprofit technology, EdTech, or social impact sectors, preferably in EMEA SaaS or emerging technologies.
• Track record of managing complex sales cycles within nonprofits, INGOs, foundations, or educational institutions.
• Experience building and scaling sales teams.
• Deep understanding of nonprofit or education sector operations.
• Demonstrated ability to navigate diverse stakeholder ecosystems.
• Scrappy mentality.
• Proven experience exceeding revenue targets.
• Excellent communication skills.
• Fluency in English required; proficiency in French valued given Francophone Africa coverage; additional European languages a plus.

Strong Candidates May Also Have:

• Active involvement in the EMEA nonprofit or education community.
• Existing relationships with major INGOs, foundations, or educational institutions.
• Familiarity with nonprofit data privacy requirements, AI ethics frameworks, and responsible technology deployment.
• Track record of building strategic partnerships with foundations or philanthropic advisors.
• Experience presenting at nonprofit conferences or education forums.
• Understanding of specific verticals: education technology, digital health, financial inclusion/economic mobility programmes.

Logistics:

• Location: London.
• Must be able to travel within EMEA (up to 30%) and to SF headquarters quarterly.
• Time Zone Coverage: Must maintain regular overlap with SF-based teams (typically 4-5 hours daily) while covering EMEA business hours.
• Travel: Regular travel within EMEA for customer meetings, conferences, and team gatherings; quarterly travel to SF for alignment and planning.

The annual compensation range for this role is €1-€1 EUR.

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You'll leverage your consultative sales expertise and passion for social impact to secure strategic partnerships with nonprofits, foundations, INGOs, educational institutions, and social enterprises across the EMEA market.

This is a player-coach role requiring someone who can personally close complex deals while building a high-performing regional team.

You'll operate with significant autonomy across time zones while maintaining tight alignment with global strategy.

Our team and verticals are evolving rapidly,the ideal candidate thrives in ambiguity, is energised by building from scratch, and can flex across changing priorities as we learn what works.

The ideal candidate brings deep experience in the EMEA nonprofit or social impact technology landscape, established relationships with mission-driven institutions, and a proven track record of building teams that drive revenue and mission impact simultaneously.

Responsibilities:

• Win new business and drive revenue for Anthropic within EMEA mission-driven organisations.

• Build and lead a regional team supporting EMEA customers, both inbound and outbound.

• Design and execute innovative sales strategies tailored to diverse EMEA contexts.

• Navigate complex stakeholder ecosystems including INGO executive teams, foundation programme officers, university leadership, trustees, executive directors, and IT departments to build consensus.

• Develop and maintain relationships with key EMEA ecosystem players.

• Inform product roadmaps by gathering feedback from EMEA nonprofit and education users.

• Continuously refine the EMEA sales methodology by incorporating learnings into playbooks, templates, and best practices.

• Partner effectively with SF-based teams across time zones.

• Help shape team processes and culture as we scale from 1 to N.

You May Be a Good Fit If You Have:

• 8+ years of B2B sales experience in nonprofit technology, EdTech, or social impact sectors, preferably in EMEA SaaS or emerging technologies.

• Track record of managing complex sales cycles within nonprofits, INGOs, foundations, or educational institutions, securing strategic deals by understanding both mission requirements and technical needs.

• Experience building and scaling sales teams, with proven ability to recruit, develop, and retain top talent while operating across multiple time zones and cultural contexts.

• Deep understanding of nonprofit or education sector operations, including INGO federated structures, European foundation giving, UK charity sector dynamics, and/or higher education procurement.

• Demonstrated ability to navigate diverse stakeholder ecosystems including trustees, executive directors, programme officers, and procurement committees.

• A scrappy mentality,comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission.

• Proven experience exceeding revenue targets while operating autonomously, managing an evolving pipeline across multiple market segments and time zones.

• Excellent communication skills with ability to adapt style across cultural contexts.

• Fluency in English required; proficiency in French valued given Francophone Africa coverage; additional European languages a plus.

• A genuine passion for social impact and experience with or commitment to advancing mission-driven work through technology.

Strong Candidates May Also Have:

• Active involvement in the EMEA nonprofit or education community through board service, advisory roles, or sector leadership.

• Existing relationships with major INGOs (Save the Children, Oxfam, IRC, MSF, CARE, World Vision), foundations, or educational institutions.

• Familiarity with nonprofit data privacy requirements, AI ethics frameworks, and responsible technology deployment.

• Track record of building strategic partnerships with foundations or philanthropic advisors.

• Experience presenting at nonprofit conferences (Bond Conference, NCVO Conference, Skoll World Forum) or education forums.

• Understanding of specific verticals: education technology, digital health, financial inclusion/economic mobility programmes.

Logistics:

• Location: London.

• Must be able to travel within EMEA (up to 30%) and to SF headquarters quarterly.

• Time Zone Coverage: Must maintain regular overlap with SF-based teams (typically 4-5 hours daily) while covering EMEA business hours.

• Travel: Regular travel within EMEA for customer meetings, conferences, and team gatherings; quarterly travel to SF for alignment and planning.

Annual compensation range for this role is £280,000-£330,000 GBP.

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You'll leverage your consultative sales expertise and passion for social impact to secure strategic partnerships with nonprofits, foundations, INGOs, educational institutions, and social enterprises across the EMEA market.

This is a player-coach role requiring someone who can personally close complex deals while building a high-performing regional team. You'll operate with significant autonomy across time zones while maintaining tight alignment with global strategy.

The ideal candidate brings deep experience in the EMEA nonprofit or social impact technology landscape, established relationships with mission-driven institutions, and a proven track record of building teams that drive revenue and mission impact simultaneously.

You'll win new business and drive revenue for Anthropic within EMEA mission-driven organisations. Navigate complex multi-stakeholder ecosystems to reach decision-makers, educate them about Claude, and help them succeed with Anthropic.

You'll build and lead a regional team supporting EMEA customers, both inbound and outbound. Establish team structure, hiring priorities, and operational processes for scaling,while rolling up your sleeves to close deals yourself.

You'll design and execute innovative sales strategies tailored to diverse EMEA contexts: nonprofit budget cycles and grant timelines, foundation giving patterns, and varying regulatory environments across jurisdictions.

You'll navigate complex stakeholder ecosystems including INGO executive teams, foundation programme officers, university leadership, trustees, executive directors, and IT departments to build consensus.

You'll develop and maintain relationships with key EMEA ecosystem players: nonprofit networks (Bond, NCVO, European Foundation Centre), education networks, and implementation partners.

You'll inform product roadmaps by gathering feedback from EMEA nonprofit and education users. Provide insights on regional requirements including data sovereignty, language support, and compliance needs.

You'll continuously refine the EMEA sales methodology by incorporating learnings into playbooks, templates, and best practices. Adapt global processes for regional contexts while contributing insights back to the global team.

You'll partner effectively with SF-based teams across time zones, maintaining regular cadence with Elizabeth Kelly and cross-functional stakeholders while operating with significant regional autonomy.

You'll help shape team processes and culture as we scale from 1 to N.

The ideal candidate has 8+ years of B2B sales experience in nonprofit technology, EdTech, or social impact sectors, preferably in EMEA SaaS or emerging technologies.

They have a track record of managing complex sales cycles within nonprofits, INGOs, foundations, or educational institutions, securing strategic deals by understanding both mission requirements and technical needs.

They have experience building and scaling sales teams, with proven ability to recruit, develop, and retain top talent while operating across multiple time zones and cultural contexts.

They have a deep understanding of nonprofit or education sector operations, including INGO federated structures, European foundation giving, UK charity sector dynamics, and/or higher education procurement.

They have demonstrated ability to navigate diverse stakeholder ecosystems including trustees, executive directors, programme officers, and procurement committees.

They have a scrappy mentality,comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission.

They have proven experience exceeding revenue targets while operating autonomously, managing an evolving pipeline across multiple market segments and time zones.

They have excellent communication skills with ability to adapt style across cultural contexts.

They have fluency in English required; proficiency in French valued given Francophone Africa coverage; additional European languages a plus.

They have a genuine passion for social impact and experience with or commitment to advancing mission-driven work through technology.

Strong candidates may also have active involvement in the EMEA nonprofit or education community through board service, advisory roles, or sector leadership.

They have existing relationships with major INGOs (Save the Children, Oxfam, IRC, MSF, CARE, World Vision), foundations, or educational institutions.

They have familiarity with nonprofit data privacy requirements, AI ethics frameworks, and responsible technology deployment.

They have a track record of building strategic partnerships with foundations or philanthropic advisors.

They have experience presenting at nonprofit conferences (Bond Conference, NCVO Conference, Skoll World Forum) or education forums.

They have understanding of specific verticals: education technology, digital health, financial inclusion/economic mobility programmes.

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Zuma is pioneering the future of agentic AI in property management. We build AI agents that act as property managers, handling the full spectrum of interactions with both prospects and current residents on behalf of our clients.

Our agents don’t just assist human workflows; they own them end-to-end, operating across leasing, collections and resident communications. Zuma has ambitions to continue expanding into adjacent work activities in tangential areas of property management.

This is a rare chance to shape the future of how an entire industry operates , not in theory, but in production, at scale, touching real customers and physical assets every day. At Zuma, human and AI agents work side by side, and you'll help define what that collaboration looks like at its best.

Responsibilities

• Own E2E projects that cross all areas of software development including full stack web apps, agentic AI solutions across multiple work activities, extensive integrations with PMS and CRM systems, infrastructure, and internal tooling.

• Architect, build, and deploy production AI agents using modern agent frameworks, owning the full lifecycle from design to reliability in production.

• Define the technical patterns and standards for how software is built across the engineering org , you will be setting the playbook others follow.

• Strengthen our core systems , including our onboarding/configuration system, integration frameworks, and AI performance analytics infrastructure.

• Collaborate directly with the VPE and product leadership to translate product vision into delivery, making high-stakes technical trade-offs with confidence.

• Own system reliability, observability, and continuous improvement , defining how we measure, monitor, and iterate on our agents and web products in production.

• Work across the stack (backend services, LLM orchestration, integrations, data pipelines, frontends) to ship agents and products that are robust and scalable.

• Tame legacy code and lay down new foundations , patterns and architecture you create will be inherited by the engineers who come after you.

• Be a close partner to the product and operations teams, turning their domain needs into intelligent automated workflows without requiring domain expertise upfront.

Nice to Have

• Prior experience at a startup or high-growth company; comfort shipping fast and iterating in production.

• AWS experience with IaC (Terraform) and comfort working with infrastructure / dev ops.

• Background in building self-serve platforms or integration infrastructure.

• Experience with workflow automation platforms or business process orchestration.

• Experience with telephony integrations (Twilio or similar) and building voice-capable agents or chatbots across text and voice channels.

• Familiarity with speech-to-text, text-to-speech, or real-time audio streaming pipelines in production AI systems.

• Classical ML experience , supervised/unsupervised learning, feature engineering, model training and evaluation outside of LLM contexts.

Our Stack

• Python, TypeScript/Node.js

• OpenAI, Anthropic

• LangGraph, OpenAI Agents SDK, custom orchestration layers

• AWS, AWS ECS, PostgreSQL, Redis

• RealPage, Entrata, Yardi, and other property management systems

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Fridtjof Nansen crossed the Arctic, going places no human had ever been. Together with our users, we're doing the same onchain: charting entirely new territory.

Nansen is a special company. We're building the single best product for onchain investing, allowing A New Way To Trade that's agentic, onchain, and fully integrated.

If you're looking for an adventure, you've come to the right place.

Our mission:

Surface the signal and create winners.

What you'll do at Nansen

You'll build the intelligence layer that powers that mission. That means working with 500M+ labeled blockchain addresses, training models on data no one else has, and shipping AI/ML systems that help real investors make better decisions and grow their portfolios.

• Design and build AI/ML models on top of the richest onchain dataset in the world , then make them fast, scalable, and production-ready
• Work shoulder-to-shoulder with engineers and product to ship models that actually reach users
• Stay ahead of the curve in both AI/ML and blockchain , this space moves fast, and we need someone who moves faster
• Level up the team: mentor junior engineers, raise the bar on what good looks like
• Own your work end-to-end; from data pipeline to deployed feature

What we're looking for

• You've shipped AI/ML at production scale , you have the scars and the portfolio to prove it
• Deep fluency in frameworks around Python, Generative AI and agents
• Deep expertise in LLMs, agent architectures, prompt engineering, and context engineering , across OpenAI, Anthropic, and beyond
• You can work the full data stack: feature engineering, pipelines, model serving. Data engineering experience is a genuine edge
• You don't just use AI as a tool. You think with it. AI-first isn't a checkbox, it's how you work
• Bonus: you know onchain, you care about crypto, and you have opinions about where this is going

What we offer our crew

• Competitive salary. Meaningful equity. Real ownership in what you build
• Fully remote with two no-meeting days a week , because deep work doesn't happen in a Google Meet
• Annual company retreat and team off-sites in one of our offices: Singapore, Bangkok, London, and Oslo , flights and accommodation covered
• Unlimited AI tokens: Claude, OpenAI, whatever helps you move fast
• Your own OpenClaw for work
• Nansen Pro account: giving you full access to the most detailed onchain data in the market
• A team that started as data engineers and data scientists. Your craft is respected here.
• Speed, ownership, curiosity, courage. These aren't values on a wall , they're how we run.
• A front-row seat (and a hand in building) the next chapter of finance

Work visa sponsorship is not provided for this role.

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LLM & AI Pipeline Engineering - Design, build, and maintain production-grade LLM integration pipelines , including retrieval-augmented generation (RAG), prompt engineering, output parsing, and chain orchestration.

Develop and operate AI features within Jeeves's core financial products: spend categorization, document extraction, anomaly detection, financial Q&A, and automated reconciliation.

Implement structured output validation, fallback handling, and confidence scoring to ensure AI decisions meet reliability standards for financial use cases.

Evaluate and integrate AI frameworks and tools (LangChain, LlamaIndex, OpenAI API, Anthropic API, HuggingFace, vector databases) and advocate for the right tool for the job.

Establish prompt versioning and evaluation practices to ensure AI outputs remain accurate and consistent as models and data evolve.

Retrieval & Vector Search - Design and maintain vector search pipelines using databases such as Pinecone, Weaviate, or pgvector to power semantic search and RAG-based features.

Build document ingestion and chunking pipelines for Jeeves's financial data , processing invoices, receipts, policy documents, and transaction records.

Optimize retrieval quality through embedding model selection, chunk strategy, metadata filtering, and re-ranking techniques.

ML Model Serving & Operations - Collaborate with data scientists to take trained ML models from experimental notebooks to production serving infrastructure.

Build and maintain model serving endpoints with appropriate latency SLOs, input validation, and output monitoring.

Implement model performance monitoring and data drift detection to ensure production models remain accurate over time.

Support model retraining workflows by designing clean data pipelines and feature engineering that can be continuously updated.

Backend Integration & Reliability - Integrate AI services cleanly with Jeeves's backend microservices , designing clear API contracts, circuit breakers, and graceful degradation patterns.

Write high-quality, testable backend code in Python or Go/Node.js to power AI-integrated features.

Instrument AI components with structured logging, distributed tracing, latency dashboards, and alerting to ensure operational visibility.

Collaboration & Growth - Partner with Product, Backend Engineering, and Data Science to define the AI roadmap and translate requirements into reliable systems.

Contribute to a culture of quality by writing design docs, reviewing peers' AI system designs, and sharing learnings openly.

Help grow the AI engineering practice at Jeeves by establishing patterns, tooling, and best practices that the broader team can build on.

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LLM & AI Pipeline Engineering - Design, build, and maintain production-grade LLM integration pipelines , including retrieval-augmented generation (RAG), prompt engineering, output parsing, and chain orchestration.

Develop and operate AI features within Jeeves's core financial products: spend categorization, document extraction, anomaly detection, financial Q&A, and automated reconciliation.

Implement structured output validation, fallback handling, and confidence scoring to ensure AI decisions meet reliability standards for financial use cases.

Evaluate and integrate AI frameworks and tools (LangChain, LlamaIndex, OpenAI API, Anthropic API, HuggingFace, vector databases) and advocate for the right tool for the job.

Establish prompt versioning and evaluation practices to ensure AI outputs remain accurate and consistent as models and data evolve.

Retrieval & Vector Search - Design and maintain vector search pipelines using databases such as Pinecone, Weaviate, or pgvector to power semantic search and RAG-based features.

Build document ingestion and chunking pipelines for Jeeves's financial data , processing invoices, receipts, policy documents, and transaction records.

Optimize retrieval quality through embedding model selection, chunk strategy, metadata filtering, and re-ranking techniques.

ML Model Serving & Operations - Collaborate with data scientists to take trained ML models from experimental notebooks to production serving infrastructure.

Build and maintain model serving endpoints with appropriate latency SLOs, input validation, and output monitoring.

Implement model performance monitoring and data drift detection to ensure production models remain accurate over time.

Support model retraining workflows by designing clean data pipelines and feature engineering that can be continuously updated.

Backend Integration & Reliability - Integrate AI services cleanly with Jeeves's backend microservices , designing clear API contracts, circuit breakers, and graceful degradation patterns.

Write high-quality, testable backend code in Python or Go/Node.js to power AI-integrated features.

Instrument AI components with structured logging, distributed tracing, latency dashboards, and alerting to ensure operational visibility.

Collaboration & Growth - Partner with Product, Backend Engineering, and Data Science to define the AI roadmap and translate requirements into reliable systems.

Contribute to a culture of quality by writing design docs, reviewing peers' AI system designs, and sharing learnings openly.

Help grow the AI engineering practice at Jeeves by establishing patterns, tooling, and best practices that the broader team can build on.

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LLM & AI Pipeline Engineering - Design, build, and maintain production-grade LLM integration pipelines , including retrieval-augmented generation (RAG), prompt engineering, output parsing, and chain orchestration.

Develop and operate AI features within Jeeves's core financial products: spend categorization, document extraction, anomaly detection, financial Q&A, and automated reconciliation.

Implement structured output validation, fallback handling, and confidence scoring to ensure AI decisions meet reliability standards for financial use cases.

Evaluate and integrate AI frameworks and tools (LangChain, LlamaIndex, OpenAI API, Anthropic API, HuggingFace, vector databases) and advocate for the right tool for the job.

Establish prompt versioning and evaluation practices to ensure AI outputs remain accurate and consistent as models and data evolve.

Retrieval & Vector Search - Design and maintain vector search pipelines using databases such as Pinecone, Weaviate, or pgvector to power semantic search and RAG-based features.

Build document ingestion and chunking pipelines for Jeeves's financial data , processing invoices, receipts, policy documents, and transaction records.

Optimize retrieval quality through embedding model selection, chunk strategy, metadata filtering, and re-ranking techniques.

ML Model Serving & Operations - Collaborate with data scientists to take trained ML models from experimental notebooks to production serving infrastructure.

Build and maintain model serving endpoints with appropriate latency SLOs, input validation, and output monitoring.

Implement model performance monitoring and data drift detection to ensure production models remain accurate over time.

Support model retraining workflows by designing clean data pipelines and feature engineering that can be continuously updated.

Backend Integration & Reliability - Integrate AI services cleanly with Jeeves's backend microservices , designing clear API contracts, circuit breakers, and graceful degradation patterns.

Write high-quality, testable backend code in Python or Go/Node.js to power AI-integrated features.

Instrument AI components with structured logging, distributed tracing, latency dashboards, and alerting to ensure operational visibility.

Collaboration & Growth - Partner with Product, Backend Engineering, and Data Science to define the AI roadmap and translate requirements into reliable systems.

Contribute to a culture of quality by writing design docs, reviewing peers' AI system designs, and sharing learnings openly.

Help grow the AI engineering practice at Jeeves by establishing patterns, tooling, and best practices that the broader team can build on.

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The ideal candidate will have a passion for developing new market segments within healthcare delivery and insurance, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help healthcare enterprises obtain new capabilities while also advancing the ethical development of AI.

Responsibilities:

• Win new business and drive revenue for Anthropic within the healthcare industry, focusing on health systems, hospitals, and payor organisations. Navigate complex healthcare organisations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from outbound to close.

• Design and execute innovative sales strategies tailored to healthcare procurement cycles, value-based care initiatives, and budgeting processes to meet and exceed revenue quotas. Analyse healthcare market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns.

• Spearhead market expansion by identifying new use cases within clinical departments, care management teams, claims processing units, and administrative offices. Collaborate cross-functionally to differentiate our offerings for healthcare delivery and payor applications.

• Inform product roadmaps and features by gathering feedback from healthcare users including clinicians, care coordinators, and administrative leaders, conveying healthcare market needs. Provide insights that strengthen our value proposition for healthcare organisations.

• Continuously refine the healthcare sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimise sales productivity and consistency across health systems and payors.

You may be a good fit if you have:

• 5+ years of enterprise sales experience in healthcare, with demonstrated success covering health systems, hospitals, and/or payor organisations

• A track record of managing complex sales cycles within healthcare organisations and securing strategic deals by understanding both technical requirements and clinical/administrative use cases

• Extensive experience negotiating complex agreements within healthcare procurement frameworks, including understanding of value-based care contracts and payor policies

• Proven experience exceeding revenue targets in the healthcare sector by effectively managing an evolving pipeline and sales process

• Excellent communication skills and the ability to present confidently to various healthcare audiences, from physicians and nurses to C-suite executives and payor leadership

• Deep understanding of healthcare buying cycles, decision-making processes, and key pain points across both provider and payor organisations

• A strategic, analytical approach to assessing the healthcare market combined with creative, tactical execution to capture opportunities

• A passion for and/or experience with advanced AI systems and their applications in healthcare. You feel strongly about ensuring frontier AI systems are developed safely and ethically for clinical use

• Ability to develop and refine healthcare use cases for AI in collaboration with customers and channel partners, with particular focus on care delivery, population health, and administrative efficiency

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