Product Marketing Manager, Model Context Protocol
San Francisco, CA | New York City, NY
Full Time Mid-level / Intermediate USD 255K - 320K
Anthropic
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable 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
We're looking for an experienced Product Marketing Manager to join our team and lead go-to-market strategy for MCP (Model Context Protocol), Anthropic's open-source protocol that enables standardized communication between AI models and external systems. As the PMM for MCP, you'll be instrumental in driving adoption of this industry-changing protocol by crafting compelling narratives, building ecosystem partnerships, and establishing MCP as the standard for AI-to-application connectivity. The ideal candidate brings deep experience marketing technical products to developers, a strong understanding of open-source ecosystems, and a proven track record of driving developer adoption through strategic product marketing.
Responsibilities:
- Lead end-to-end go-to-market planning and execution for MCP protocol updates, new capabilities, and ecosystem partnerships
- Develop compelling messaging and positioning that resonates with both enterprise developers building internal tools and startups creating external-facing products
- Drive developer adoption through targeted campaigns, technical content, and community engagement initiatives
- Partner with engineering teams to shape the protocol roadmap based on market insights and developer feedback
- Create comprehensive enablement materials including technical guides, best practices documentation, and reference implementations
- Coordinate launch activities for major MCP partners and showcase successful implementations
- Build and nurture relationships with key ecosystem partners to drive MCP server development and adoption
- Develop strategies to position MCP as the industry standard
- Create content that demonstrates MCP's value for both internal enterprise use cases and external product integrations
- Measure and report on MCP adoption metrics, developer engagement, and ecosystem health
You may be a good fit if you:
- Have 6+ years of work experience with 4+ years of product marketing experience, with at least 2 years focused on developer platforms, APIs, or open-source projects
- Possess deep understanding of developer ecosystems and experience driving adoption of technical standards or protocols
- Excel at translating complex technical concepts into compelling value propositions for diverse audiences (enterprise developers, startup CTOs, business stakeholders)
- Have proven experience building and managing partner ecosystems and driving co-marketing initiatives
- Demonstrate strong technical acumen with the ability to engage credibly with engineering teams and developer communities
- Possess exceptional storytelling skills with experience creating technical content that drives developer engagement
- Excel at cross-functional collaboration, particularly with engineering, developer relations, and partnership teams
- Have experience with two-sided marketplaces or platform businesses
Strong candidates may have:
- Experience marketing AI/ML products or working at companies in the AI/ML space
- Background in open-source project management or community building
- Experience with enterprise developer tools and understanding of enterprise adoption cycles
- Track record of establishing new technical standards or driving protocol adoption
- Experience working with both startup and enterprise segments simultaneously
The expected salary range for this position is:
Annual Salary:$255,000—$320,000 USDLogistics
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.
Tags: Anthropic APIs Biology Computer Science Engineering Excel GPT GPT-3 Machine Learning Open Source Physics Research
Perks/benefits: Career development Competitive pay Equity / stock options Flex hours Flex vacation Health care Parental leave Startup environment Team events
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