Growth GTM Engineer - PLG to Enterprise Signals

Wwshemi; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Perplexity is hiring a Growth GTM Engineer to build systems that convert product usage into revenue and turn self-serve usage into enterprise opportunities. You will map usage to accounts, ship in-product paths, and run experiments with data science to validate signals and pipeline impact.

You will own sales-facing features, collaborate with Revenue Ops, and partner with Sales, Data Science and Marketing to turn product signals into measurable pipeline and revenue outcomes.

Qualifications

• 2+ years as a growth, GTM, data or full-stack engineer, shipping production code (TypeScript/React, Python).
• Strong SQL and comfort building data models in a warehouse (Snowflake, dbt-style).
• Experience instrumenting product events and running A/B experiments end to end.
• Commercial instinct: you start from a revenue problem and work back to the signal or surface that fixes it.
• Comfort with REST APIs, webhooks and integrating third-party GTM tools.
• Operator mindset: you talk to customers directly, ship fixes, and don't need a PM to translate requests.

Responsibilities

• Build account-level PLG signals and map users/workspaces to accounts.
• Own in-product paths from self-serve to sales and measure end-to-end impact.
• Lead experiments end-to-end on sales-assist surfaces and targeting.
• Build internal tools and automation for Growth/GTM teams.
• Partner with Sales, Data Science, Marketing and Product to turn signals into pipeline.

Skills

TypeScript

React

Python

Growth engineering

A/B testing

SQL

Tools

Snowflake

dbt

Salesforce

Intercom

Chili Piper

Job description

Perplexity is hiring a Growth GTM Engineer to build systems that convert product usage into revenue and turn self-serve usage into enterprise opportunities. You will map usage to accounts, ship in-product paths, and run experiments with data science to validate signals and pipeline impact.

You will own sales-facing features, collaborate with Revenue Ops, and partner with Sales, Data Science and Marketing to turn product signals into measurable pipeline and revenue outcomes.