Communications Lead, Infrastructure and Engineering

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 seeking a strategic communications professional to join our team and drive external storytelling for the engineering and infrastructure work behind serving Claude. This role will be the primary external comms partner to the teams responsible for how Claude performs in production, including capacity, reliability, and engineering. In this role, you'll craft compelling narratives that make Claude's inference and reliability work accessible and credible to developers, customers, and the press — across launches, milestones, and the steady drumbeat of updates in between. You'll build messaging frameworks for technical topics without losing the substance, and lead the communications response when an engineering issue needs a coordinated, cross-functional response. You'll also coach engineering and product leaders to be effective spokespeople. The ideal candidate is a creative storyteller with strong proactive and reactive muscle, has a genuine curiosity about how systems perform and the judgment to navigate nuanced, technical topics. You should be able to move fast, think critically, and collaborate across a wide range of technical and non-technical teams. You'll sit on the Product Communications team, working day to day with engineering and product leaders. Responsibilities: · Own external comms for Claude's inference and reliability story across launches, milestones, and the steady drumbeat of updates · Carry both the high-altitude narrative for Claude's engineering work and the technical translation that makes it credible · Develop messaging frameworks for technical topics that need to land with developers, customers, and press without losing the substance · Lead comms when a technical or engineering issue needs a coordinated cross-functional response · Partner closely with the product organization on decisions that impact users and our brand, bringing those considerations into the room early and often · Coach engineering and product leaders to be effective spokespeople for press, podcasts, panels, and the smaller moments in between · Have strong instincts for how messaging will land across audiences and channels and the judgment to adjust strategy accordingly You may be a good fit if you: · Have 8–12 years of experience in communications focused on infrastructure, engineering, or technical products · Are highly online and fluent in where technical conversations happen, from developer forums to X to Hacker News · Are genuinely curious about how customers actually experience performance, capacity, and reliability · Have experience in communications focused on infrastructure, engineering, or technical products · Write with discipline and accuracy around complex technical concepts and sensitive topics Strong candidates may also: · Have a deep understanding of both traditional media channels and the emerging platforms where technical communities engage · Be high-agency and low-ego, with a bias to action · Have existing relationships with reporters and analysts covering AI, engineering, or developer ecosystems 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. Annual Salary: $265,000—$295,000 USD Logistics 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 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.