<p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">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.</p>
<p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">Since public launch, Emergent has reached <strong>$100M ARR in 8 months. 6M+ users across 190+ countries</strong> have built <strong>6.5M+ applications</strong> on Emergent. We've raised <strong>$100M+</strong>, backed by <strong>Khosla Ventures, SoftBank, Google, Lightspeed, Prosus, Together, and Y Combinator.</strong></p>
<p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">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 <strong>repeat founders, Olympiad medalists, IIT & IIM alumni,</strong> and leaders from <strong>Google, Amazon, and Dropbox.</strong></p>
<p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">We're hiring builders who want ownership, speed, and impact at global scale.</p>
<p class="font-claude-response-body break-words whitespace-normal leading-[1.7]"><strong>About the Role:</strong></p>
<p>We're looking for an AI Analyst who can own the full analytics lifecycle at a fast-scaling vibe coding platform - from raw data exploration to production dashboards to strategic recommendations. This isn't a traditional analyst role. You'll use AI tools (Claude, MCP integrations, agentic workflows) as force multipliers to automate repetitive work, accelerate hypothesis testing, and ship insights at startup speed.</p>
<p>You'll sit at the intersection of product, growth, and finance -investigating conversion funnels one hour, building cohort retention models the next, and stress-testing a pricing change by end of day.</p>
<p class="font-claude-response-body break-words whitespace-normal leading-[1.7]"><strong>What You'll Do:</strong></p>
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<li>Own subscription and product analytics end-to-end: conversion funnels, cohort retention, churn analysis, LTV modeling, and revenue tracking</li>
<li>Build and maintain production dashboards and alerting systems that the team relies on daily for business-critical metrics</li>
<li>Conduct deep exploratory analysis on user behavior - identifying engagement patterns, diagnosing drop-offs, and quantifying the impact of product and pricing changes</li>
<li>Write highly optimized SQL against a modern data stack (BigQuery, PostgreSQL), including complex CTEs, window functions, and cross-database joins</li>
<li>Maintain and evolve the company's analytics knowledge base - documenting schemas, metric definitions, and known data quality issues so the team can self-serve</li>
<li>Partner with product and engineering to define experiments, validate A/B tests, and ensure proper attribution across channels</li>
<li>Use AI tooling (Claude, MCP servers, agentic pipelines) to automate data exploration, query generation, anomaly detection, and reporting- treating AI as a core part of your workflow, not an afterthought</li>
</ul>
<p class="font-claude-response-body break-words whitespace-normal leading-[1.7]"><strong>Who You Are:</strong></p>
<ul>
<li>5+ years of strong SQL proficiency - you think in CTEs and window functions, you understand partitioning tradeoffs, and you instinctively validate results against multiple sources before drawing conclusions</li>
<li>Experience with subscription/Saas metrics: MRR, churn, cohort analysis, conversion funnels, usage-based billing</li>
<li>A hypothesis-driven mindset - you don't just pull numbers, you form a thesis, test it iteratively, and revise when the data disagrees</li>
<li>Comfort with messy, evolving data infrastructure - you can navigate pipeline delays, schema inconsistencies, and incomplete data without getting stuck</li>
<li>Familiarity with product analytics tools (PostHog, Mixpanel, Amplitude, or similar) and concepts like identity stitching and multi-touch attribution</li>
<li>Experience building dashboards and visualizations that non-technical stakeholders actually use</li>
<li>Eagerness to use AI assistants and agentic tools as part of your daily workflow - automating boilerplate, generating initial analyses, and iterating faster than a purely manual approach allows</li>
<li>Strong async communication skills - you can document findings, flag issues, and propose next steps clearly enough that teammates can act without a follow-up meeting</li>
</ul>
<p class="font-claude-response-body break-words whitespace-normal leading-[1.7]"><strong>Nice to Have:</strong></p>
<ul>
<li>Experience with BigQuery, Redash, or similar BI tooling</li>
<li>Familiarity with Python or dbt for data transformation</li>
<li>Exposure to event-driven data models and behavioral analytics</li>
<li>Comfort working directly with engineering teams on data pipeline issues</li>
<li>Prior work at an early-stage startup where you built the analytics layer from scratch</li>
</ul>
<p class="font-claude-response-body break-words whitespace-normal leading-[1.7]"><strong>Why Join Us:</strong></p>
<ul>
<li>Work on one of the fastest-growing AI platforms</li>
<li>High ownership and visibility role</li>
<li>Competitive compensation and equity</li>
</ul>
<p class="font-claude-response-body break-words whitespace-normal leading-[1.7]"><strong>Benefits and Perks:</strong></p>
<ul>
<li>Daily Meals: Lunch and Dinner provided</li>
<li>Family Insurance: 3 Lakhs worth of coverage for you and your family</li>
<li>Unlimited Paid Time Off: Take the time you need to recharge and come back refreshed</li>
<li>Flexible Working Hours: Work arrangements that fit your life and commitments</li>
</ul>
<p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">Let's build the future of software together.</p>
