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.
Manage engineering team
High user impact and rapid iteration
Leadership scope High
AI / domain intensity Medium
What you would do
- Win new business and drive revenue for Anthropic within the enterprise sector across DACH. Navigate complex enterprise organizations 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 enterprise procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze enterprise 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 enterprise departments, innovation centers, and operational offices. Collaborate cross-functionally to differentiate our offerings for enterprise applications
- Navigate complex enterprise stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus across DACH business culture and practices
- Inform product roadmaps and features by gathering feedback from enterprise users and conveying market needs from the German enterprise landscape. Provide insights that strengthen our value proposition for enterprise customers
- Continuously refine the enterprise sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency
Why this role matters
- Work on a core product area for the next era of AI.
- Direct impact on how people discover, interact with, or benefit from technology.
- Bridge product ambition with research and infrastructure reality.
What the employer asks for
- A field relevant to the role as demonstrated through coursework, training, or professional experience
Where the uncertainty is
- Exact team size, reporting line, and near‑term mandate are not fully visible from the public posting.
- Compensation, equity, or leveling details are not explicit yet.
- Onsite and hybrid expectations may matter more than the headline location suggests.
- The balance between research, product, and infrastructure responsibilities may still be broad.
Evidence this role rewards
- Hands‑on comfort with modern AI or multimodal product stacks.
- Leadership experience in fast‑moving or high‑ownership teams.
- Track record of turning complex ideas into shipped products.
What to verify before acting
- Team mission, size, and what success looks like in the first months.
- Reporting structure, level expectations, and decision authority.
- Whether the real scope is product, research, infrastructure, or a blend.
- Working model, compensation, equity, and interview process.
Benefits noted: Competitive base salary and commission structure Equity participation in Anthropic's growth Comprehensive benefits package Opportunity to shape the AI industry in DACH and EMEA Professional development and career growth opportunities
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