GTM Strategy & Operations
AnthropicAbout Anthropic
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
In this GTM Strategy & Operations role at Anthropic, you'll drive critical go-to-market initiatives that directly impact our revenue growth and market expansion. You'll independently lead cross-functional projects spanning enterprise readiness, platform ecosystem development, international expansion, and innovative sales motions. This role requires exceptional strategic thinking, flawless execution, and the ability to influence stakeholders across Product, Sales, Marketing, Finance, and Legal to deliver transformational outcomes.
Responsibilities:
- Own and drive 3-5 high-priority GTM initiatives simultaneously, from strategic conception through execution and measurement
- Lead cross-functional workstreams including product launches, partnership programs, and operational transformations
- Design and implement new GTM motions including product-led growth experiments, channel strategies, and vertical market approaches
- Partner with leadership to define strategic frameworks for customer journey optimization, pricing evolution, and competitive positioning
- Drive operational excellence through systems implementation, process optimization, and performance metrics development
- Synthesize complex market dynamics, customer insights, and competitive intelligence into actionable strategies with clear ROI
- Support international expansion efforts including market entry strategies and partnership development
You may be a good fit if you have:
- 4-6 years of experience in management consulting, strategic operations, or GTM roles at high-growth technology companies
- Demonstrated success independently leading complex, ambiguous projects with multiple stakeholders
- Deep understanding of enterprise software sales cycles, API/consumption-based business models, and B2B GTM strategies
- Bachelor's degree in Business, Economics, Computer Science, or related field
- Advanced proficiency in SQL for complex data analysis and pipeline metrics
- Experience with Salesforce (SOQL, reporting, dashboards) and revenue operations tools
- Proficiency in data visualization tools (Looker, Tableau, or similar)
- Experience with Python or R for data analysis and automation (preferred)
- Familiarity with API documentation and technical product specifications
- Understanding of cloud platforms (AWS, GCP, Azure) and their marketplace dynamics
Strong candidates may have:
- Direct experience with AI/ML companies or API-first businesses
- Track record of driving $10M+ revenue impact through strategic initiatives
- Experience with consumption-based pricing models and usage analytics
- International business experience, particularly in APAC or EMEA markets
- MBA or advanced degree in relevant field
Deadline to apply: None. Applications will be reviewed on a rolling basis.
The expected salary range for this position is:
Logistics
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. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process