Ivo Inc.
GTM & AI Analytics Director
San Francisco · Director
Sponsorship not specifiedDetected 140 days ago
SQLBigQuerySnowflakedbtData EngineeringData VisualizationLLMsAgentic AICanvaCRMForecastingContract ManagementCustomer SuccessLeadership
About the role
- Every civilization runs on the same infrastructure: agreements between people who don't fully trust each other.
- We recently raised our Series B and have grown 800% over the last 12 months.
Responsibilities
- You partner with Product and Data Engineering to define the instrumentation that matters, not just consume what's already tracked.
- You generate SQL, debug logic, draft executive summaries, and pressure-test your own models with AI.
Requirements
- You have opinions on which tools are better for which tasks.
- 5-10 years in GTM analytics, strategy consulting, or revenue analytics at a high-growth B2B SaaS company.
- You know which metrics matter at each stage from $10M→$100M.
- You know the difference between a data readout and a strategic recommendation.
- MBA or a graduate degree in analytical field
- AI-native workflow. You use Claude, ChatGPT, Cursor daily as your analytical operating system. You prototype by prompting before you code. You generate SQL, debug logic, draft executive summaries, and pressure-test your own models with AI. You have opinions on which tools are better for which tasks.
- 5-10 years in GTM analytics, strategy consulting, or revenue analytics at a high-growth B2B SaaS company. You know which metrics matter at each stage from $10M→$100M.
- Management consulting foundation (MBB or equivalent).
- Intellectual curiosity about how AI-native products change measurement. You're not satisfied applying last generation's engagement metrics to a product where AI agents do the heavy lifting.
- Product analytics depth. You've worked with product telemetry data: activation funnels, feature adoption, retention cohorts - and connected it to revenue outcomes. You partner with Product and Data Engineering to define the instrumentation that matters, not just consume what's already tracked.
- Deep SaaS fluency: ARR, NDR, pipeline velocity, cohort LTV, CAC payback. You think in unit economics and systems, not charts.
- Strong SQL. Production queries against BigQuery or Snowflake, dbt models, dashboards in Looker or equivalent. You're hands-on, and you don't need a data engineer to unblock your path to output.
- Quantitative modeling: forecasting, account scoring, predictive churn, scenario analysis. You've built models that influenced real resource allocation decisions, not just slide decks.
- End-to-end pipeline analysis: lead to close to renewal to expansion. You identify bottlenecks, quantify leakage, and deliver recommendations that change behavior.
- Board-level communication. You present complex analysis to the CEO and board in clear, actionable terms. You know the difference between a data readout and a strategic recommendation.
Skills
- agreements between people who don't fully trust each other.
- Sumerians pressed them into clay.
- Romans carved them into stone.
- The way those agreements are reviewed hasn't changed in four thousand years - a human reads the whole thing and tries not to miss anything.
- Ivo is the contract intelligence platform of choice for companies like Uber, Meta, Canva, IBM, and Shopify.
- WHAT IS THE JOB?
- What does "usage" mean when the product works autonomously?
- What's the leading indicator of expansion when the user isn't clicking, but its agent is?
- Pipeline slowing?
- Expansion stalling?
- Reporting to the
Benefits
- Account scoring or health scoring models operationalized into CRM workflows.
- GTM planning is analytically rigorous - targets, coverage guides, capacity models, territory design all data-backed and pressure-tested.
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This listing is sourced directly from Ivo Inc.'s careers page and normalized into a canonical job model.