Revenue Strategy & Operations, Senior Analyst

Responsibilities

• Support annual and quarterly GTM planning with Finance, including headcount modeling, ramp assumptions, and revenue target setting.
• Build and maintain coverage models incorporating territory design, account segmentation, and capacity planning.
• Support quota framework development and translate top-down targets into field-level plans.
• Maintain market segmentation based on industry, company profile, consumption potential, and AI maturity.
• Analyze competitive dynamics, regional expansion priorities, whitespace opportunities, ICP, and TAM data.
• Translate data into clear business narratives and self-service insights for leadership and the revenue organization.
• Support pipeline-generation modeling, including coverage ratios, qualified-pipeline definitions, and assumptions.
• Track pipeline-generation actuals against the model, surface gaps, and support corrective actions.
• Participate in weekly forecasting and connect leading indicators to revenue outcomes.
• Build analytics including pipeline dashboards, cohort analyses, and efficiency metrics.
• Analyze regional pipeline health, win/loss trends, and representative productivity.
• Support QBRs, pipeline reviews, sales-process improvements, post-sale journey optimization, and funnel conversion initiatives.
• Design and execute experiments involving new segments, channels, acquisition motions, and expansion motions.
• Develop measurement frameworks and operationalize successful experiments into repeatable playbooks.

Requirements

• 3–5 years of experience in GTM strategy, revenue operations, sales strategy, or a related function, ideally in high-growth B2B SaaS or infrastructure.
• Experience with consumption-based or usage-based business models strongly preferred, including ARR, revenue, drawdown, expansion, and net retention concepts.
• Strong analytical ability, including coverage modeling, cohort analysis, and leadership-ready forecasting.
• Strong business judgment and ability to turn data into recommendations and actions.
• Structured thinking and clear communication with senior audiences.
• Hands-on experience with AI coding tools, spreadsheets, BI tools, SQL, and CRM systems.
• Ability to collaborate across Finance, field leadership, Central Operations, and Enablement without formal authority.
• Comfortable with ambiguity and fast-paced, iterative execution.
• Active use of AI tools to improve analysis, problem solving, communication, and productivity.
• Curiosity about the AI infrastructure market.

Nice-to-haves

• Experience at a company scaling through a Series B–D inflection point.
• Consulting, banking, or finance background.

Compensation and Benefits

• Salary: $150,000–$190,000 annually.
• Meaningful equity.
• Medical, dental, and vision insurance fully covered for employees and dependents.
• Flexible paid time off and company-wide winter break.
• Paid parental leave.
• Fertility and family-building stipend.
• Company-facilitated 401(k).
• Exposure to ML startups and AI infrastructure companies.