### Who you are
- 8+ years of experience, ideally including 2-4 years in a high-intensity, analytical role (investment banking, management consulting, or similar) and 4+ years in GTM at fast-growing technology companies
- Deep understanding of enterprise cloud services and AI/ML market dynamics
- Exceptional communication and relationship-building skills with both technical and business stakeholders
- Proven ability to develop and execute successful co-selling strategies at scale
- Excellence in strategy, business operations, and program management
- Ability to thrive in a fast-paced environment, adapt to changing priorities, and balance strategic thinking with tactical execution
- Experience working with technical products and translating complex capabilities into business value
- Direct experience scaling GTM at a high-growth startup or leading enterprise sales or partnerships at a major technology company
- Familiarity with large language models and their applications in generative AI
- Previous experience working with cloud and large technology partnerships
- Technical background in computer science, software engineering, data science, or related field
- MBA or advanced degree in relevant discipline
- 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
- 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
### What the job involves
- As a Partnership lead, you’ll help drive our strategic growth with Google Cloud
- You'll play a critical role in managing the relationship, generate large-scale revenue opportunities, and work with leadership across both organizations to accelerate Anthropic's AI adoption through GCP's global ecosystem
- You’ll be a part of a small team with an outsized scope - setting the strategy and rolling up your sleeves to execute it
- You'll help shape how frontier AI technology is commercialized at scale and develop the blueprint for successful AI-cloud provider partnerships
- Develop and execute comprehensive GTM strategies for our GCP partnership, including co-selling motions, enablement programs, and joint business plans
- Develop forecasting models, build pipeline, and set revenue targets for the partnership
- Build and maintain cross-functional relationships across GCP
- Drive strategic planning and execution of joint marketing and sales initiatives, including major customer engagements
- Create and implement scalable processes for partnership operations, including escalation management and reporting
- Provide strategic market intelligence and competitive insights to inform product and business strategy
- Design and execute sales plays and enablement programs
- Participate in monthly business reviews with key stakeholders
- Identify and develop strategic opportunities to expand partnership scope and impact
### Benefits
- Comprehensive health, dental, and vision insurance for you and your dependents
- Inclusive fertility benefits via Carrot Fertility
- 22 weeks of paid parental leave
- Flexible paid time off and absence policies
- Mental health support for you and your dependents
- Competitive salary and equity packages
- Optional equity donation matching at a 1:1 ratio, up to 25% of your equity grant
- Retirement plans with competitive matching
- Life and income protection plans
- $500/month flexible wellness and time saver stipend
- Commuter benefits
- Annual education stipend
- Home office stipends
- Relocation support for those moving for Anthropic
- Daily meals and snacks in the office

We're an AI research company that builds reliable, interpretable, and steerable AI systems. Our first product is Claude, an AI assistant for tasks at any scale. Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.