Join Emergent, a pioneering company revolutionizing software development with autonomous coding agents. Our AI-driven systems generate, test, and deploy production applications directly from natural language intent, powering millions of real applications globally. We've achieved significant growth, crossing $130M in Annualised Revenue and amassing over 10M users worldwide. Backed by leading venture capital firms and industry giants, we are focused on solving complex challenges in AI-driven software creation, ensuring correctness, reliability, security, and scalability.

We are seeking driven individuals who thrive on ownership, speed, and global impact to join our innovative team. This is an opportunity to contribute to the future of software development.

As a Growth Manager, you will be instrumental in enhancing user engagement, retention, and monetization throughout the entire user lifecycle. Your primary focus will be data-driven insights, utilizing your analytical skills to query data, uncover key trends, and implement impactful strategies that drive business metrics. You will have end-to-end ownership of a critical growth KPI, such as retention, top-up rates, plan upgrades, or revenue per signup, with a weekly deep dive into performance drivers.

You'll be responsible for identifying root causes when metrics deviate, sizing the impact, and proposing actionable solutions. Analyzing user behavior across various segments and cohorts will be key to identifying opportunities in activation, credit usage, pricing strategies, and churn reduction. Furthermore, you will design, execute, and rigorously analyze experiments, ensuring proper hypothesis formulation, sample size calculation, and control group implementation. Collaboration with product, pricing, CRM, and marketing teams will be essential to translate data insights into tangible product and strategy improvements. Leveraging AI tools, including LLMs and agents, will be encouraged to accelerate your analysis and personalize user interventions.

We are looking for candidates with 2 to 4 years of experience in growth, product, analytics, strategy, or a closely related field. A strong foundation in working hands-on with data is essential, regardless of your specific background.

Exceptional SQL proficiency is a non-negotiable requirement, enabling you to independently query large datasets for cohort analysis, funnel construction, and retention curve generation, with a strong emphasis on data validation. You should be comfortable operating daily within dashboards, product analytics tools, and spreadsheets, proactively forming and testing hypotheses directly from data. Proven experience in owning and improving a key metric, with demonstrable results, is expected. A working knowledge of experimental statistics, including significance, novelty effects, and understanding when not to rely on a particular result, is important. Familiarity and comfort with using LLMs and AI tools in your daily workflow are also required.

Bonus points for experience in consumer or self-serve SaaS environments, and proficiency in Python.