Principal, Revenue Strategy & Analytics (AI)

Location: San Francisco, California, United States

Salary: $124,000–$221,430 per year starting base salary for U.S.-based roles; offers may exceed this range.

Company

hirify.global develops software that helps innovators design and make buildings, products, factories, and media.

What you will do

• Own the GTM revenue analytics framework, including semantic data models, KPI definitions, reporting standards, and analytical methodologies.
• Define measurement frameworks for pipeline, bookings, revenue, renewals, expansion, customer health, GTM plays, and overall GTM effectiveness.
• Lead analytics initiatives from requirements and data exploration through modeling, dashboard development, insight generation, and executive delivery.
• Advise GTM leaders on revenue performance, forecasts, business reviews, strategy, and planning.
• Define the GTM Strategy AI roadmap and prioritize AI-enabled use cases that improve revenue performance, customer insights, and productivity.
• Lead complex cross-functional initiatives, establish quality standards, and coach and mentor team members without formal authority.

Requirements

• 8+ years of experience in Revenue Operations, GTM Strategy, Business Intelligence, Analytics, SaaS Strategy, Management Consulting, or a related analytical discipline.
• Experience building enterprise KPI frameworks, semantic data models, reporting standards, and data-governance practices.
• Expert proficiency in Power BI, including data modeling, DAX, dashboard design, and performance optimization.
• Strong SQL skills and working knowledge of modern data platforms such as Snowflake, Databricks, or Microsoft Fabric.
• Strong knowledge of Salesforce data and reporting, B2B sales, pipeline, forecasting, renewals, and customer lifecycle processes.
• Ability to translate complex data and business questions into executive-level insights, recommendations, and narratives.

Nice to have

• Experience in SaaS, subscription, or recurring-revenue business models.
• Experience with governed analytics products supporting BI and AI use cases.
• Familiarity with Microsoft Copilot, Azure AI, OpenAI, Snowflake Cortex, Databricks, or similar enterprise AI technologies.
• Experience with predictive analytics, machine learning, retrieval-augmented generation, or agentic workflows.
• Knowledge of responsible AI, model governance, data privacy, and security.

Culture & Benefits

• Health and financial benefits, time away, and everyday wellness support are provided for U.S. employees.
• Work is focused on inclusive collaboration and a culture of belonging.
• In-person onboarding and/or identity verification may be required.
• Compensation may also include annual cash bonuses, stock grants, and a comprehensive benefits package.