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:
We are seeking an experienced and strategic marketing leader to own and scale our partner marketing function at Anthropic. As the Head of Partner Marketing, you will be responsible for developing and executing high-impact initiatives that empower our partners to bring Claude to market, drive revenue growth, and expand our ecosystem, with a special focus on our cloud partners. You will work closely with cross-functional teams to create compelling content, drive joint go-to-market campaigns, and forge strong relationships.
Responsibilities:
- Develop and execute a comprehensive, global partner marketing strategy that directly contributes to Anthropic's revenue goals and market expansion
- Architect and scale a multi-tiered partner ecosystem encompassing major cloud providers, ISVs, consultancies, and strategic alliances to drive billions in revenue
- Lead high-level negotiations to secure significant partner investments from cloud partners, including financial commitments, technical resources, and joint marketing budgets
- Design and implement innovative co-marketing and co-selling programs that position Claude as the preferred AI solution across various industries and use cases
- Collaborate with Anthropic leadership to align partner marketing initiatives with overall company strategy and objectives
- Establish and oversee key performance metrics for the partner marketing function, ensuring accountability and measurable impact on business growth
- Build and lead a high-performing partner marketing team, defining roles, processes, and best practices to support rapid scaling
- Identify and pursue strategic partnership opportunities that unlock new markets or create significant competitive advantages for Anthropic
- Develop and manage a co-marketing budget, ensuring optimal resource allocation and ROI across various initiatives and partner types
- Serve as a key liaison between partners and internal teams, driving cross-functional collaboration to deliver partner-centric product innovations and go-to-market strategies
You may be a good fit if you:
- Have 10+ years of partner marketing experience, with a proven track record of building and scaling partner programs inside of high-growth technology startups that significantly contribute to top-line revenue goals
- Possess extensive experience building and managing partner marketing initiatives on major cloud platforms including AWS, Google Cloud
- Have built a large, high-functioning, geographically distributed Partner Marketing team in the past
- Demonstrate strong negotiation skills and the ability to manage high-level partner relationships
- Have a history of success in 0-1 initiatives, bringing new partner marketing programs from concept to execution
- Are familiar with AI/ML technologies and can effectively communicate complex product offerings
- Exhibit excellent written and verbal communication skills, with the ability to create compelling content for various audiences
- Bring strong strategic thinking and project management abilities, with confidence operating cross-functionally
- Are passionate about Anthropic's mission of building reliable, interpretable, and steerable AI systems
The expected salary range for this position is:
Annual Salary:
$300,000—$355,000 USD
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.
What We Do
Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.
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