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Emergent is hiring to own a single growth metric and drive data-backed improvements. You will query large datasets, build cohorts and funnels, and design experiments to move the key metric in our AI coding agent product.
The role requires hands-on data work, strong SQL skills, and sound judgment for experiment design in an AI-driven growth environment. Bengaluru-based role with rapid learning and impact.
This role asks for someone who can own a single growth metric and drive it with hands on data work. The person queries large datasets directly, builds cohorts and funnels, finds root causes when numbers move, and turns findings into experiments and interventions. A strong candidate brings solid SQL, real experience moving a metric, and sound judgment on experiment design.
The product itself is an AI coding agent, so the growth work sits close to how people adopt and use AI built software. AI tools speed up analysis and help automate and personalize lifecycle outreach, which shifts effort toward framing good questions and judging results. What stays human is deciding what matters, validating numbers, and choosing which interventions to ship.
Working here means using LLMs and agents daily for analysis and for lifecycle interventions, so practical fluency with these tools is part of the job. A candidate can build this by running real analyses with AI assistance and by studying how users adopt an autonomous coding product. Understanding the product's own agent workflow gives useful context for growth experiments.
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
Emergent develops autonomous coding agents that generate, test, and deploy web and mobile applications from natural language prompts.