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 $130M in Annualised Revenue and grown to over 10M users across 190+ countries, who have built 12M+ applications on Emergent. We’re backed by Creaegis, Khosla Ventures, SoftBank, Lightspeed, Together, Y Combinator, Google, Claypond and Sentinel Global.
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 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.
What You’ll Do:
Own one KPI (e.g. retention, top-up rate, plan upgrades, or revenue per signup) with a weekly read of what moved and why
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
Analyze user behavior across cohorts, funnels, and segments to find levers across activation, credits and top-ups, pricing and plans, and churn
Design, run, and read experiments properly: hypothesis, sample size, holdouts, and the decision rule fixed before launch
Work with product, pricing, CRM, and marketing to ship what the data says
Use AI tools (LLMs, agents) to speed up your own analysis and to automate and personalize lifecycle interventions
What We’re Looking For:
2 to 4 years in growth, product, analytics, strategy, or a related role. Background is open; working hands-on with data is not
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
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
You’ve owned a metric and moved it, and you can show the before and after
Working knowledge of experiment stats: significance, novelty effects, and when not to trust a result
Comfortable using LLMs and AI tools in your day-to-day work
Good to Have:
Consumer or self-serve SaaS experience
Python
Benefits and Perks:
Daily Meals: Lunch and Dinner provided
Family Insurance: 5 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.
Summary
Drive engagement, retention, and monetization across the user lifecycle by querying data yourself and turning insights into interventions, owning one growth KPI end-to-end. Requires 2 to 4 years in growth or analytics, strong SQL, experiment stats knowledge, and comfort using LLMs and AI tools.
Responsibilities
Own one growth KPI end-to-end; find root causes when metrics break; analyze cohorts, funnels, and segments; design and run experiments; work with product, pricing, CRM, and marketing; use AI tools to speed analysis and automate lifecycle interventions
Qualifications
2 to 4 years in growth, product, analytics, strategy, or a related role; strong SQL skills; owned and moved a metric; working knowledge of experiment stats; comfortable using LLMs and AI tools
Experience requirements
2 to 4 years in growth, product, analytics, strategy, or a related role
Benefits
Daily lunch and dinner provided; family insurance (5 Lakhs coverage); unlimited paid time off; flexible working hours