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Enterprise Account Executive, Insurance

Label Your Data·280,000 – 330,000 GBP

Primary stack

B2B SalesSaaSAPISalesNegotiationCommunication

Nice to have's

AI

Job description

About the Position

Enterprise Account Executive, Insurance

London, UK

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 Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity API and SaaS solutions to insurance organisations across the EMEA markets. You'll drive the adoption of safe, frontier AI by securing strategic deals with insurers, reinsurers, brokers, and MGAs. You'll leverage your consultative sales expertise in the insurance sector to propel revenue growth while becoming a trusted partner to insurance stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities in underwriting, claims handling, and distribution. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with insurance decision-makers.

Responsibilities

  • Win new business and drive revenue for Anthropic within the insurance sector. Navigate complex insurance 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 first outbound to close.
  • Design and execute innovative sales strategies tailored to insurance procurement cycles, vendor risk assessment, and budgeting processes to meet and exceed revenue quotas. Analyse insurance 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 underwriting teams, claims operations, actuarial functions, and distribution channels. Collaborate cross-functionally to differentiate our offerings for insurance applications.
  • Navigate complex insurance stakeholder ecosystems including executives, underwriting and claims leadership, IT departments, risk and compliance functions, and procurement offices to build consensus.
  • Inform product roadmaps and features by gathering feedback from users and conveying insurance market needs. Provide insights that strengthen our value proposition for insurance.
  • Continuously refine the insurance sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimise sales productivity and consistency.

Requirements

  • 8+ years of B2B sales experience in SaaS, API solutions, or emerging technologies.
  • A track record of managing complex sales cycles within insurance organisations and securing strategic deals by understanding both technical requirements and insurance use cases.
  • Demonstrated ability to navigate insurance organisational structures and procurement processes, building consensus among diverse stakeholders including executives, underwriting and claims leadership, and IT departments.
  • Extensive experience negotiating complex agreements within insurance procurement frameworks, vendor risk and third-party assurance policies.
  • Proven experience exceeding revenue targets by effectively managing an evolving pipeline and sales process.
  • Excellent communication skills and the ability to present confidently to various insurance audiences, from underwriters and claims managers to senior executives.
  • Deep understanding of insurance buying cycles, decision-making processes, and key pain points, including the regulatory environment insurers operate within.
  • A strategic, analytical approach to assessing the insurance market combined with creative, tactical execution to capture opportunities.
  • A passion for and/or experience with advanced AI systems and their applications. You feel strongly about ensuring frontier AI systems are developed safely and ethically for insurance use.

We Offer

  • Annual Salary: £280,000-£330,000 GBP
  • 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.

About the Company

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.

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.

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.

© Label Your Data. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

Label Your Data provides secure and high quality data annotation services for Computer Vision or NLP applications since 2020. We help Data Scientists and AI Engineers streamline the dataset labeling and focus on model development.About Label Your Data:— Founded in 2020;— 200+ annotation experts in Europe, LATAM and Africa;— 98%+ annotation accuracy benchmark;— 55 supported languages;— PCI/DSS certified;— ISO/IEC 27001:2013 certified;— GDPR, CCPA and HIPAA-compliant;— HQs in North America, EU and Asia.Our experience spans over 20 industries including Automotive, Robotics, Agriculture, E-commerce, Retail, Healthcare, Manufacturing, Fintech and Insurance.Our core services include but are not limited to:— Image & video annotation: 2D boxes, OCR, object/action detection, polygons, key points, semantic segmentation, 3D cuboids;— Text annotation: classification, NER, intent & sentiment analysis, prompts creation, Q&A pairs generation;— Audio annotation: transcription, sentiment recognition;— Sensor data annotation;— Data classification & categorization;— Data entry;— Data collection;— Model validation.

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