Analytics Leader

Emergent builds autonomous coding agents that replace traditional software development by generating, testing, and deploying production applications directly from plain-language intent. Our systems run in production at global scale and are used to build millions of real applications.

Since our public launch, we've crossed $100M in ARR and grown to over 10M users across 190+ countries , who have built 12M+ applications on Emergent. We're backed by Creaegis, Claypond, Sentinel Global, Khosla Ventures, SoftBank, Google, Lightspeed, Prosus, Together, and Y Combinator.

We're solving the hard part of AI-driven software creation: correctness, reliability, security, and scale in real production systems. The team is built by repeat founders, Olympiad medalists, IIT & IIM alumni, and leaders from Google, Amazon, and Dropbox.

We're hiring builders who want ownership, speed, and impact at global scale.

The Role: We're looking for a Head of Analytics to own the entire data and analytics function at one of the fastest-scaling AI platforms in the world. You'll define what we measure, how we measure it, and how data drives every major decision across product, growth, finance, and leadership.

This is a player-coach role. You'll set the analytics vision, build and lead a high-performing team, and still stay close enough to the data to pressure-test a pricing model or debug an attribution issue yourself. You'll report directly to leadership and act as the single source of truth for business-critical metrics: revenue, retention, conversion, and unit economics. Critically, this is an AI-native analytics leadership role. You'll build a function where AI tools (Claude, MCP integrations, agentic pipelines) are core infrastructure, not add-ons, enabling a lean team to deliver the output of one many times its size.

What You'll Do:

Own the company-wide analytics strategy: define the metrics framework, north-star KPIs, and reporting cadence used by leadership, product, growth, and finance

Build, hire, and lead the analytics team, setting the bar for rigor, speed, and self-serve enablement across the company

Own subscription and revenue analytics end-to-end: MRR, churn, cohort retention, LTV/CAC, conversion funnels, and usage-based billing models

Architect and govern the modern data stack (BigQuery, PostgreSQL, event pipelines), partnering with engineering on data quality, schema design, and pipeline reliability

Establish experimentation as a discipline: design the A/B testing framework, define statistical standards, and ensure proper attribution across channels

Deliver strategic analysis for high-stakes decisions: pricing changes, market expansion, product bets, and fundraising narratives

Build production dashboards and alerting systems that leadership relies on daily, and evolve the analytics knowledge base so teams can self-serve

Champion AI-native analytics: deploy Claude, MCP servers, and agentic workflows to automate exploration, anomaly detection, query generation, and reporting at scale

Act as the trusted data partner to the CEO, CFO, and functional leaders, translating complex analysis into clear, decision-ready recommendations

Who You Are:

12+ years in analytics or data science, with 3+ years leading and scaling analytics teams at high-growth B2C/SaaS or PLG companies

Deep expertise in subscription and SaaS metrics: MRR, churn, cohort analysis, LTV modeling, conversion funnels, and usage-based billing

Elite SQL proficiency: you think in CTEs and window functions, understand partitioning tradeoffs, and validate results against multiple sources instinctively

Proven track record of building analytics functions from scratch or through hypergrowth: hiring, tooling, metric governance, and stakeholder trust

Strong command of the modern data stack: BigQuery or similar warehouses, dbt, product analytics tools (PostHog, Mixpanel, Amplitude), and BI platforms

Experimentation depth: you've designed and governed A/B testing programs and understand statistical rigor, identity stitching, and multi-touch attribution

A hypothesis-driven operator: you form a thesis, test it iteratively, and revise when the data disagrees, and you've taught teams to do the same

Genuine conviction in AI-native workflows: you use AI assistants and agentic tools daily and have strong opinions on how they transform analytics work

Executive-grade communication: you can walk into a board meeting or a leadership review and land a data-backed recommendation in five minutes

Comfort with ambiguity and messy, evolving data infrastructure: you unblock yourself and your team without waiting for perfect pipelines

Nice to Have:

Experience at a developer tools, AI, or vibe coding platform

Python fluency for statistical modeling and automation

Prior ownership of finance-adjacent analytics: revenue recognition, forecasting, and unit economics for board reporting

Experience partnering directly with engineering on event-driven data models and behavioral analytics

Early-stage startup experience where you built the analytics layer from zero to scale

Benefits and Perks:

Daily Meals: Lunch and Dinner provided

Family Insurance: 3 Lakhs worth of coverage for you and your family

Unlimited Paid Time Off: Take the time you need to recharge and come back refreshed

Flexible Working Hours: Work arrangements that fit your life and commitments

Let's build the future of software together.