About 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

As a GTM Strategy & Operations Associate, you will support the GTM Strategy Business Partner in driving operational excellence and strategic analysis for a critical customer segment. You'll execute analytical deep-dives, build reporting infrastructure, prepare business review materials, and help scale GTM operations through hypergrowth. This role exists to provide essential analytical and operational support that enables the Business Partner and GTM leadership to make data-driven decisions and achieve ambitious growth goals.

Responsibilities:

Analytical & Reporting Support

• Execute analytical deep-dives to support strategic decision-making on segmentation, resource allocation, and coverage models
• Build and maintain reporting dashboards, operational metrics, and KPIs that help the business measure and evaluate success
• Prepare executive-ready materials and business review content for Business Partner presentation to leadership
• Analyze segment data to surface trends, risks, and opportunities; develop recommendations for Business Partner review and leadership consideration
• Ensure data accuracy and integrity across all segment reporting

Operational Excellence

• Own day-to-day operational processes and cadences focused on customer acquisition, revenue growth, and segment performance
• Support territory planning, resource allocation, and coverage model analyses to optimize how we serve customers
• Build processes and playbooks to help scale the GTM team through hypergrowth, including leveraging Claude to create leverage for the team
• Identify health of and gaps with CRM and reporting data quality and mapping integrity, enabling effective customer engagement across all lifecycle stages

Data-Driven Decision Support

• Collaborate with data science to build and evolve models (e.g. account prioritization) that incorporate product usage, account characteristics, and event-based data
• Analyze pipeline trends and top-of-funnel metrics to support forecasting accuracy
• Conduct AE performance analysis to inform book of business assignments and coverage strategies
• Work with Revenue Operations systems and reporting teams to maintain up-to-date systems of record and data accuracy

Cross-Functional Collaboration

• Support collaboration between Marketing, Sales, Partnerships, and Applied AI teams on segment initiatives
• Work with Sales, Product, and Engineering teams to gather customer feedback and provide input on product development
• Partner with Revenue Operations on management reporting, systems integration, and process automation
• Support Finance on market and performance analyses that inform target setting and resource investment decisions

You may be a good fit if you have:

• 5+ years of experience focusing on SaaS/enterprise software with 3+ years of experience in analytics, revenue / business operations, finance, or management consulting.
• Deep proficiency in Excel or Google Sheets; SQL or Python proficiency preferred
• Strong analytical skills with experience in CRM, analytics platforms and BI tools (e.g. Salesforce, Looker, BigQuery)
• Experience with consumption-based pricing models and usage analytics strongly preferred
• An ability to translate complex customer data into actionable strategic recommendations
• Demonstrated success in building scalable processes and playbooks
• Strong project management and stakeholder influence skills across technical and business teams
• A healthy balance of customer empathy with data-driven decision making
• A desire and readiness to do the best work of your career
• Bachelor's degree required

The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.

Annual Salary:

$160,000 - $190,000 USD

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. 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