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:
The Brand Strategy & Ops Lead will develop essential processes to power our marketing operations while helping us plan, resource, budget, and track key initiatives. This role is critical for driving operational excellence and strategic alignment across marketing and cross-functional teams (Communications, Product, Policy, and Sales), to ensure our collective efforts help us deliver against our mission to influence the transition to powerful AI that is aligned with human values and extends what is humanly possible.
Working directly with the Head of Brand Marketing, you will help design and execute the brand marketing charter, serving as a strategic thought partner and operational backbone for our growing brand team.
Responsibilities:
- Partner closely with the Head of Brand Marketing to chart the brand strategy and marketing vision for Anthropic and Claude, including building the internal team, managing agency relationships, and shaping the development and execution of brand and go-to-market programs
- Establish and manage operational rhythms of business to strengthen and scale the brand marketing organization
- Develop close relationships across the company, acting as a central point of contact to ensure marketing strategies are well-aligned with overall business goals
- Lead change management, enablement, and internal communications across marketing and with stakeholder groups
- Be a bridge, helping to build influence and execute on brand priorities across the organization through strategic thought-partnership and excellent operational support
- Maintain and optimize marketing processes, workflows, and systems to ensure efficiency and effectiveness
- Collaborate on resource planning, budget management, and performance tracking for brand marketing initiatives
You may be a good fit if you:
- Have 10+ years of experience working in the fast-moving technology sector, with significant experience in marketing operations, brand strategy, or related fields
- Have a proven track record of building and managing high-performing teams and agency relationships
- Are a skilled communicator able to work effectively at all levels of the business
- Demonstrate high attention to detail and excellent project management capabilities
- Have experience working with data and insights to inform brand strategy and measure impact
- Thrive in fast-paced, ambiguous environments and can adapt quickly to changing priorities
- Are passionate about AI's potential to positively impact the world and realistic about its risks and limitations
- Have a knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality
Strong candidates may also:
- Have experience at high-growth technology companies, particularly in AI/ML or enterprise SaaS
- Possess expertise in marketing technology platforms and tools
- Have experience managing marketing budgets and vendor relationships
- Show a strong balance of creative thinking and operational excellence
- Demonstrate success in cross-functional collaboration and stakeholder management
- Have a track record of implementing and optimizing marketing processes and workflows
The expected salary range for this position is:
Annual Salary:
$300,000—$355,000 USD
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.
Top Skills
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.
