Job Application for Strategic Account Executive, Insurance at Anthropic Back to jobs Strategic Account Executive, Insurance New York City, NY Apply 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 Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity SaaS solution to the Insurance industry, driving the adoption of safe, frontier AI. You'll leverage your consultative sales expertise in the Insurance sector to propel revenue growth while becoming a trusted partner to Enterprise stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities. 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 institutions 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 and budgeting processes to meet and exceed revenue quotas. Analyze 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 Insurance departments, research centers, and administrative offices. Collaborate cross-functionally to differentiate our offerings for Insurance applications Navigate complex stakeholder ecosystems including executives, administrators, IT departments, 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 optimize sales productivity and consistency You may be a good fit if you have: 5+ years of B2B sales experience in Insurance technology, preferably in SaaS or emerging technologies A track record of managing complex sales cycles within Insurance organizations and securing strategic deals by understanding both technical
requirements and use cases Demonstrated ability to navigate Insurance bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments Extensive experience negotiating complex agreements within Insurance procurement frameworks and policies Proven experience exceeding revenue targets in the Insurance sector by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently to various audiences within Insurance Deep understanding of Insurance buying cycles, decision-making processes, and key pain points 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 in Insurance. You feel strongly about ensuring frontier AI systems are developed safely and ethically The annual
compensation range for this role is listed below. For sales roles, the range provided is
the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for
the role. Annual Salary: $290,000 - $435,000 USD 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
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