Über diese AWS GTM Partnership Lead, Global System Integrators Stelle bei Anthropic
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
Anthropic is seeking a partnerships leader to own the tri-party motion for systems integrator partnerships selling through AWS. Global systems integrators and specialist SIs are how Claude reaches enterprise customers at scale, and AWS is the surface most of that work runs on. You will own the intersection of those two ecosystems.
In this role, you will build the go-to-market motion that turns partner interest into joint pipeline and closed revenue, working across AWS's partner organization and the AWS practices inside the world's largest integrators. You will define how Claude is positioned inside AWS partner programs, design the commercial mechanics that let partners transact and get rewarded, and build the joint plays that partners take to their customers.
This is a build role. The partner ecosystem is early, the programs are still being designed, and you will be operating across three organizations whose incentives on any given deal don’t always line up. You will help shape how frontier AI technology reaches the enterprise through the services ecosystem.
You will report directly to the Head of AWS GTM Partnerships.
Key Responsibilities
- Develop and execute the GTM strategy for our systems integrator partnerships through AWS, including co-selling motions, joint business plans, events and segment-specific plays
- Own forecasting, pipeline development, and revenue targets for partner-sourced and partner-influenced business
- Design the commercial mechanics that make the partner motion work, including deal registration, marketplace program structure, and incentives
- Build and maintain executive-level relationships across AWS's partner organization and across partner AWS practice leadership
- Work with partners to develop repeatable, industry-specific solutions built on Claude, and help them build the delivery capability to take those solutions to market
- Partner cross-functionally with Anthropic's alliances, sales, partner marketing, and regional cloud teams to keep the motion consistent globally while regions execute locally
- Create and implement scalable processes for partnership operations, including escalation management, business reviews, and reporting
- Provide strategic market intelligence and competitive insights on the partner ecosystem to inform product and commercial strategy
- Identify where to concentrate investment across the partner portfolio and make the case to stop investing where returns are not there
Minimum qualifications
- 12+ years of enterprise partnerships, alliances, or business development experience, with meaningful time spent on partner ecosystems
- Proven track record of building and scaling partnerships with systems integrators, consultancies, or channel partners
- Experience building a co-sell or channel motion from the ground up, including the commercial mechanics behind it
- Deep understanding of how cloud and partner field organizations operate, and the incentives that drive seller and partner behavior
- Track record of carrying and hitting a partner-sourced or partner-influenced revenue number, with credible forecasting behind it
- Strong executive presence and demonstrated ability to influence senior stakeholders where you have no formal authority
- Excellence in strategic planning, business operations, and program management
- Ability to balance strategic thinking with tactical execution, and a willingness to concentrate effort rather than spread thin
- Experience working with technical products and translating complex capabilities into business value
- Ability to travel up to 25% of the time
Preferred qualifications
- Previous experience working with AWS or another hyperscaler partner organization
- Working knowledge of systems integrator operating models, including practice structures, delivery economics, and how services revenue drives partner decisions
- Background in AI/ML technologies or with developer-focused platforms and their partner ecosystems
- Experience scaling partner programs at a company moving from early traction to significant partner-driven revenue
- Management consulting experience earlier in your career
Deadline to apply: None. Applications will be reviewed on a rolling basis.
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.
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 benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
