Marketing Events Lead, Brand

About the role

As an Events Lead, Brand at Anthropic, you will own the strategy and execution of brand-focused events that create meaningful experiences and build Anthropic's share of mind in the AI landscape. You'll sit within the Marketing Events team and be responsible for conceptualizing, producing, and measuring events that authentically communicate who Anthropic is and what we stand for—from intimate thought leadership gatherings to large-scale brand activations at industry tentpole moments.

Responsibilities

• Develop and execute brand events, ensuring alignment with Anthropic's broader brand and marketing objectives, including increasing unaided awareness and establishing AI provider mindshare
• Manage a team of full time and contracted employees
• Lead end-to-end production of Anthropic-owned brand events, including concept development, creative direction, vendor management, on-site execution, and post-event analysis
• Collaborate closely with the brand creative team to develop compelling event identities, spatial design concepts, and experiential elements that bring the Anthropic brand to life in three-dimensional spaces
• Partner with communications and policy teams to produce thought leadership events, forums, and experiences that position Anthropic as a leader in responsible AI development
• Manage Anthropic's brand presence at priority industry conferences and sponsorship activations, overseeing booth design, experiential elements, and attendee engagement strategies
• Develop and manage relationships with external production agencies, venue partners, and experiential design firms
• Track and report on event performance metrics, connecting brand events to awareness, sentiment, and affinity goals
• Manage event budgets and timelines, balancing creative ambition with operational rigor
• Stay current with experiential marketing trends, emerging event technologies, and innovative formats that could elevate Anthropic's event presence
• Develop and manage relationships with internal teams hosting Anthropic-adjacent experiences

Qualifications

• 18+ years of experience in event marketing, experiential marketing, or brand activations, ideally at a high-growth technology company or creative agency
• A strong portfolio of brand events that demonstrate your ability to translate a company's values and positioning into memorable, on-brand experiences
• Extensive experience managing the full event lifecycle—from strategic planning and creative concepting through production, on-site execution, and post-event measurement
• Skilled at working with creative teams and external agencies to develop spatial design concepts, visual identities, and experiential elements for events
• A demonstrated ability to manage multiple concurrent events with competing timelines and stakeholder needs
• An excellent communicator who can articulate creative vision to both internal leadership and external production partners
• The ability to balance creative ambition with budget discipline and operational precision
• Experience building event programs from the ground up, including developing playbooks, processes, and measurement frameworks
• Experience with people management and can run a team
• Comfortable with significant travel (estimated 30-40%) to support on-site event execution
• A passion for AI and excitement about the challenge of creating events that make complex technology accessible and engaging

Skills

• Strong portfolio of brand events
• Experienced in event lifecycle management
• Excellent communication skills
• Ability to balance creativity and practicality
• People management experience
• Travel experience
• Passion for AI and its societal impact

Benefits

• Competitive compensation and benefits
• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours
• Lovely office space

Pay

$320,000—$400,000 USD

Schedule

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.

Application Instructions

Applications will be reviewed on a rolling basis. The deadline to apply is not specified.

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. 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!

Guidance on Candidates' AI Usage

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. 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!