Marketing Manager - Strategic Programs and Events
Communications & Marketing
hybrid: San Francisco, CA
Salary range $200,000 - $280,000
added Tue Oct 24, 2023
Apply to AnthropicWe are looking for a strategic and creative Marketing Manager to develop and execute high-impact programs and events that educate and engage our enterprise customers, developers, partners, and key industry leaders. This role will be responsible for conceptualizing and driving high-polish marketing experiences that promote Anthropic's brand, establish thought leadership, generate pipeline, and grow revenue. The ideal candidate will be an organized community-builder who can support our brand through high-quality programming and experiences.
About Anthropic
Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and for society as a whole. Our interdisciplinary team has experience across ML, physics, policy, business and product.
Responsibilities:
- Develop and manage strategic marketing programs including customer advisory boards, executive roundtables, closed-door programming with key leaders, live demos and other immersive experiences
- Collaborate with cross-functional teams including Sales, Product Marketing and Communications to identify target audiences, define campaign objectives, and craft compelling messaging and content
- Manage end-to-end execution of programs and events including timeline planning, budget management, venue/vendor sourcing, agenda setting, content creation, speaker recruitment, promotion, and on-site logistics
- Measure effectiveness and provide data-driven recommendations to optimize future events and campaignsBuild and nurture relationships with customers, partners, industry influencers and senior leaders to engage them as speakers, sponsors and participants
- Stay up-to-date on industry trends, research, and new technologies to develop programs that advance Anthropic’s position and deepen engagement with our priority audiences.
You may be a good fit if you:
- Have 5+ years experience developing and executing large-scale marketing events and programs, ideally for a high-growth company
- Are a strong project manager with proven ability to manage complex budgets, timelines, and logistics
- Possess excellent written and verbal communication skills; comfortable presenting to large audiences
- Can generate innovative ideas and concepts through creative thinking
- Strong attention to detail and ability to manage multiple projects simultaneously
- Are comfortable working in a fast-paced, rapidly changing startup environment
- Feel passionate about Anthropic's mission to build reliable, interpretable, and steerable AI
Annual Salary (USD)
- The expected salary range for this position is $200k-280k.
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.
Compensation and Benefits*
Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.
Equity - On top of this position's salary (listed above), equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.
Benefits - Benefits we offer include:
- Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.
- Comprehensive health, dental, and vision insurance for you and all your dependents.
- 401(k) plan with 4% matching.
- 21 weeks of paid parental leave.
- Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
- Stipends for education, home office improvements, commuting, and wellness.
- Fertility benefits via Carrot.
- Daily lunches and snacks in our office.
- Relocation support for those moving to the Bay Area.
* This compensation and benefits information is based on Anthropic’s good faith estimate for this position, in San Francisco, CA, as of the date of publication and may be modified in the future. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and for society as a whole.
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.