Analytics Leader (AI)

Location: Bengaluru, India

Company

hirify.global builds autonomous coding agents that generate, test, and deploy production applications from plain-language intent. Its AI platform serves more than 10 million users across 190+ countries and has surpassed $100M in ARR.

What you will do

• Own the company-wide analytics strategy, including the metrics framework, north-star KPIs, and leadership reporting cadence.
• Build, hire, and lead the analytics team while enabling rigorous self-service analytics across the company.
• Own subscription and revenue analytics covering MRR, churn, cohort retention, LTV/CAC, conversion funnels, and usage-based billing.
• Architect and govern the modern data stack, partnering with engineering on schemas, data quality, event pipelines, and reliability.
• Establish A/B testing standards, attribution practices, dashboards, alerting, and an analytics knowledge base.
• Use Claude, MCP servers, and agentic workflows for exploration, anomaly detection, query generation, reporting, and strategic analysis.

Requirements

• 12+ years of experience in analytics or data science, including 3+ years leading and scaling analytics teams at high-growth B2C, SaaS, or PLG companies.
• Deep expertise in subscription and SaaS metrics, including MRR, churn, cohort analysis, LTV modeling, conversion funnels, and usage-based billing.
• Elite SQL proficiency, including CTEs, window functions, partitioning tradeoffs, and multi-source data validation.
• Experience building analytics functions, hiring teams, establishing tooling and metric governance, and earning stakeholder trust.
• Strong command of BigQuery or similar warehouses, dbt, product analytics tools, and BI platforms.
• Experience designing A/B testing programs, applying statistical rigor, handling identity stitching and multi-touch attribution, and communicating recommendations to executives.

Nice to have

• Experience in developer tools, AI, or vibe coding platforms.
• Python fluency for statistical modeling and automation.
• Experience with revenue recognition, forecasting, unit economics, and board reporting.
• Experience partnering with engineering on event-driven data models and behavioral analytics.
• Early-stage startup experience building an analytics layer from zero to scale.

Culture & Benefits

• Lunch and dinner provided daily.
• Family insurance coverage worth 3 lakhs.
• Unlimited paid time off.
• Flexible working hours.