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      <externalid>495b7d41-89d</externalid>
      <Title>Manager, Enterprise Sales - DACH &amp; CEE</Title>
      <Description><![CDATA[<p>As a Sales Manager at Anthropic, you&#39;ll lead a team of Enterprise Account Executives driving the adoption of safe, frontier AI by securing strategic deals with top financial institutions. You&#39;ll leverage your leadership and consultative sales expertise in the Industries sector to propel revenue growth while developing a high-performing team of AEs. Working closely with Applied AI Engineering and Product teams, you&#39;ll help Industries customers embed and deploy AI while uncovering its full range of capabilities in banking, research, and administration. In collaboration with GTM and Marketing teams, you&#39;ll continuously refine our value proposition, sales methodology, and market positioning to resonate with financial decision-makers and ensure differentiated value across the Industries landscape.</p>
<p>Responsibilities:</p>
<ul>
<li>Build and lead a high-performing team of Enterprise Account Executives focused on Industries, providing coaching, mentorship, and guidance to drive team success</li>
<li>Develop and implement sales strategies tailored to Industries procurement cycles and budgeting processes to meet and exceed team revenue quotas</li>
<li>Create and maintain accurate forecasts, pipeline management, and reporting while ensuring data integrity in CRM systems</li>
<li>Partner with Enablement to develop training programs and resources that accelerate AE ramp time and effectiveness, with specific focus on Industries buying cycles and decision-making processes</li>
<li>Work closely with Applied AI Engineering teams to demonstrate technical capabilities pre-sales and optimize solutions post-sales for financial applications</li>
<li>Enable your team to have credible technical conversations about AI applications in Industries while maintaining appropriate guardrails</li>
<li>Build strong partnerships across the organization to drive strategic initiatives within the Industries sector</li>
<li>Identify and execute on new market opportunities and use cases for Anthropic&#39;s AI solutions within financial departments, research centers, and administrative offices</li>
<li>Help your team navigate complex financial stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus</li>
<li>Gather and synthesize customer feedback from financial users to inform product direction and enhance customer experience for Industries</li>
<li>Build and continuously refine the Industries sales methodology by incorporating learnings into playbooks and best practices</li>
</ul>
<p>You may be a good fit if you have:</p>
<ul>
<li>15+ years of enterprise sales experience in Industries technology, preferably driving adoption of SaaS or emerging technologies</li>
<li>5+ years of sales leadership experience, ideally 3+ leading teams within the Enterprise segment focused on Industries in DACH and CEE</li>
<li>Proven track record of building and leading high-performing sales teams selling into financial institutions, with demonstrated success in coaching and developing AEs</li>
<li>Experience establishing and scaling sales processes, tools, and methodologies in fast-growing organizations serving Industries</li>
<li>Strong technical acumen and ability to understand complex AI solutions and their applications in Industries, with experience enabling teams to have credible technical conversations with financial stakeholders</li>
<li>Track record of successful partnership with technical teams throughout the customer journey within financial institutions</li>
<li>Deep understanding of Industries buying cycles, procurement frameworks, and key pain points</li>
<li>Demonstrated ability to navigate complex, multithreaded sales cycles across diverse stakeholder groups and drive cross-functional initiatives</li>
<li>Experience managing complex enterprise sales cycles within financial institutions and helping AEs secure strategic deals</li>
<li>Strong operational rigor in pipeline management, forecasting, and sales metrics specific to Industries sales cycles</li>
<li>Excellent communication skills and ability to build relationships across all levels, from analysts and researchers to senior executives in Industries</li>
<li>Strategic approach to financial market analysis combined with tactical excellence in execution</li>
<li>Passion for AI technology and commitment to its safe, responsible development for financial use cases</li>
</ul>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange></Salaryrange>
      <Skills>Enterprise sales experience, Leadership experience, Sales strategy development, Pipeline management, CRM system management, Enablement program development, Technical acumen, Complex sales cycle management, Operational rigor, Communication skills, Financial market analysis, AI technology, SaaS sales experience, Emerging technologies, Sales process establishment, Sales tool development, Methodology scaling, Team building, Coaching and development, Cross-functional initiative management</Skills>
      <Category>Sales</Category>
      <Industry>Technology</Industry>
      <Employername>Anthropic</Employername>
      <Employerlogo>https://logos.yubhub.co/anthropic.com.png</Employerlogo>
      <Employerdescription>Anthropic is a company that creates reliable, interpretable, and steerable AI systems. It has a team of researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</Employerdescription>
      <Employerwebsite>https://www.anthropic.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/anthropic/jobs/5125425008</Applyto>
      <Location>Munich, Germany</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
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