GTM Strategy & Ops — Enterprise Tech (AMER)

CoffeeChat OS; New York, Northern (NY, KY); Hybrid; USD 310,000 - 360,000; Full time

Job summary

Anthropic is seeking a GTM Strategy & Operations Business Partner for the AMER Enterprise Tech organization. You will work with sales leadership, driving strategic analysis, operational efficiency, and growth initiatives across a fast-growing commercial unit.

The role emphasizes executive-level storytelling, data-driven decision support, and cross-functional collaboration, leveraging SQL, Python, and BI tools to inform strategic decisions and optimize revenue performance.

Qualifications

• Bachelor’s degree required; MBA or advanced degree preferred.
• 10+ years of experience in sales strategy, revenue operations, management consulting
• Experience in large Enterprises in technology, finance or professional services
• Experience with AI/ML companies and consumption business models
• Prior experience building frameworks for sales use cases or value propositions

Responsibilities

• Strategic Analysis, Operations & Planning: partner with Sales leaders to refine strategy, allocate resources, and drive growth initiatives
• Data-Driven Decision Support: analyze metrics and build insights to optimize performance at scale
• Go-to-Market Execution: develop use-case frameworks and support deals, expansions, and retention
• Executive Stakeholder Management: advise senior leaders with clear, evidence-based narratives
• Cross-Functional Collaboration: work with Revenue Operations, Sales Enablement, Strategic Finance, and Product teams

Skills

Strategic analysis

Data-driven insights

Executive storytelling

Cross-functional collaboration

SQL or R

Excel/Spreadsheet mastery

Education

Bachelor's degree

MBA or equivalent

Tools

SQL

R

Python

Looker

Tableau

Salesforce

Job description

Anthropic is seeking a GTM Strategy & Operations Business Partner for the AMER Enterprise Tech organization. You will work with sales leadership, driving strategic analysis, operational efficiency, and growth initiatives across a fast-growing commercial unit.

The role emphasizes executive-level storytelling, data-driven decision support, and cross-functional collaboration, leveraging SQL, Python, and BI tools to inform strategic decisions and optimize revenue performance.