Growth Manager

<p>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>Since our public launch, we’ve crossed <strong>$130M in Annualised Revenue</strong> and grown to <strong>over 10M users across 190+ countries</strong>, who have built <strong>12M+ applications</strong> on Emergent. We’re backed by <strong>Creaegis, Khosla Ventures, SoftBank, Lightspeed, Together, Y Combinator, Google, Claypond and Sentinel Global.</strong></p>

<p>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>We’re hiring builders who want ownership, speed, and impact at global scale.</p>

<p><strong>The Role:</strong><br>We’re hiring a Growth Manager with a strong analytics backbone to drive engagement, retention, and monetization across the user lifecycle. The way you’ll do it is through data: querying it yourself, finding the insight, and turning it into interventions that move the numbers. You’ll own one growth metric end-to-end. The pace is fast and a lot is still being defined, often you’ll be the one defining it.</p>

<p><strong>What You’ll Do:</strong></p>

<ul>

<li>Own one KPI (e.g. retention, top-up rate, plan upgrades, or revenue per signup) with a weekly read of what moved and why</li>

<li>When a number breaks, find the root cause, the questions a standard dashboard can’t answer, size it, and say what to do about it</li>

<li>Analyze user behavior across cohorts, funnels, and segments to find levers across activation, credits and top-ups, pricing and plans, and churn</li>

<li>Design, run, and read experiments properly: hypothesis, sample size, holdouts, and the decision rule fixed before launch</li>

<li>Work with product, pricing, CRM, and marketing to ship what the data says</li>

<li>Use AI tools (LLMs, agents) to speed up your own analysis and to automate and personalize lifecycle interventions</li>

</ul>

<p><strong>What We’re Looking For:</strong></p>

<ul>

<li>2 to 4 years in growth, product, analytics, strategy, or a related role. Background is open; working hands-on with data is not</li>

<li>Strong SQL skills, this is non-negotiable: you can independently query large datasets to build cohorts, funnels, and retention curves, and you validate your numbers before anyone else does</li>

<li>Comfort living in data day-to-day: dashboards, product analytics tools, and spreadsheets are your home turf, and you form and test hypotheses from the data rather than waiting for someone to hand you an insight</li>

<li>You’ve owned a metric and moved it, and you can show the before and after</li>

<li>Working knowledge of experiment stats: significance, novelty effects, and when not to trust a result</li>

<li>Comfortable using LLMs and AI tools in your day-to-day work</li>

</ul>

<p><strong>Good to Have:</strong></p>

<ul>

<li>Consumer or self-serve SaaS experience</li>

<li>Python</li>

</ul>

<p><strong>Benefits and Perks:</strong></p>

<ol>

<li>Daily Meals: Lunch and Dinner provided</li>

<li>Family Insurance: 5 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>

</ol>

<p>Let’s build the future of software together.</p>