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.
As Head of Portfolio Marketing at Anthropic, you will own the strategic storytelling that defines how we communicate Claude's capabilities, Anthropic's mission, and the transformative potential of safe AI to enterprise customers and the broader market. You will lead a small team crafting keynote presentations, executive briefings content, and core narratives that shape how leaders, customers, and industry stakeholders understand what we're building and why it matters for the future of AI.
This role goes beyond traditional messaging—you will set the standard for how we position ourselves in the enterprise AI market while ensuring our narratives reflect Anthropic's commitment to developing AI systems that are safe, steerable, and beneficial. You will be responsible for translating complex AI capabilities into compelling stories that resonate with enterprise buyers and accelerate our go-to-market success.
ResponsibilitiesLead a small of team of product marketers responsible for positioning, messaging, and executive marketing
Develop and own executive narratives: Create high-impact keynote presentations, executive briefings, and strategic messaging that articulate Anthropic's vision, competitive differentiation, and unique value proposition in the enterprise AI market
Own competitive positioning and messaging: Translate sophisticated AI capabilities and safety features into clear, compelling messages that sales teams and executives can effectively use to differentiate and win deals
Drive cross-functional GTM alignment and narrative development: Partner closely with product marketing, sales enablement, corporate communications, and executive leadership to ensure cohesive narratives across product launches, industry events, and customer engagements. Rally cross-functional teams around shared messaging frameworks through storytelling excellence, strategic influence, and collaborative leadership
Ensure message consistency and quality: Establish standards and processes for narrative development that maintain consistency while enabling teams to adapt messaging for different audiences and contexts
Support major company milestones: Lead narrative development for significant announcements, partnership launches, and other strategic moments
12+ years of experience in product marketing, solutions marketing, or portfolio marketing at enterprise B2B software technology companies - a blend experience working for software technology startups and publicly scaled software technology companies is strongly preferred
Proven track record of crafting executive-level presentations and go-to-market narratives that drive measurable business impact
Deep understanding of enterprise buyer journeys and how strategic narratives accelerate complex sales cycles
Exceptional written and verbal communication skills with the ability to make complex technical concepts accessible and compelling
Experience working effectively with senior stakeholders and the judgment to provide strategic messaging counsel, including when to respectfully challenge existing approaches
Strong collaborative skills with experience rallying cross-functional teams around shared messaging without formal reporting authority
Strategic mindset combined with hands-on execution capabilities—comfortable developing high-level narrative strategy while also crafting specific presentation content
Experience in AI/ML, enterprise software, or other cutting-edge technology markets
Background working with highly regulated industries where trust, safety, and compliance messaging is critical
Track record of successful competitive positioning in crowded, rapidly evolving markets
Experience developing narratives for developer audiences as well as traditional enterprise buyers
Understanding of AI safety principles and the ability to communicate complex technical safeguards in business terms
Experience with account-based marketing and supporting enterprise sales processes
Background in crisis communications or managing sensitive messaging situations
Your narratives will become the foundation for our most important market moments—major product launches, industry conferences, customer success stories, and competitive differentiation. You will define how the enterprise AI market understands Anthropic's unique approach to building safe, beneficial AI systems while ensuring our messaging drives pipeline and revenue growth.
This role offers the opportunity to shape the strategic communications of one of the world's leading AI companies at a pivotal moment in the industry's development, while ensuring our narratives reflect our commitment to responsible AI deployment and societal benefit.
Role-specific policy: For this role, we expect staff to be able to work from our San Francisco office at least 2 days a week. We encourage you to apply even if you might need some flexibility for an interim period of time for relocation.
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.
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.
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
Anthropic Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Anthropic and has not been reviewed or approved by Anthropic.
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Strong & Reliable Incentives — Pay is positioned as top-of-market for many technical roles through a mix of high base pay, equity, and occasional bonuses/signing incentives. Benefits like substantial monthly stipends and employer-paid protections further strengthen perceived total rewards.
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Healthcare Strength — Healthcare is described as comprehensive across medical, dental, and vision, with additional mental-health support. Coverage is framed as robust for employees and dependents, which can materially increase the value of the overall package.
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Parental & Family Support — Paid parental leave is described as notably generous, alongside fertility coverage and other family-oriented supports. These elements broaden the rewards package beyond cash compensation and can improve retention for caregivers.
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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.
