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Google Cloud GTM Partnership, Enterprise

San Francisco, CA

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 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 top performer to drive our strategic growth with Google Cloud. You'll play a critical role in managing this key relationship, generate large-scale revenue opportunities, and work with leadership across both organizations to accelerate Anthropic's AI adoption through GCP's global ecosystem.

In this role, you'll help shape how frontier AI technology is commercialized at scale and develop the blueprint for successful AI-cloud provider partnerships.

Responsibilities:

  • 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

You may be a good fit if you have:

  • 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

Strong candidates may also have:

  • 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

Deadline to apply: None. Applications will be reviewed on a rolling basis.

The expected salary range for this position is:

Annual Salary:

$215,000 - $285,000 USD

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

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.

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.

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