2+ years as a growth, GTM, data or full-stack engineer with production code experience (TypeScript/React, Python)
Strong SQL skills and experience building data models in a warehouse (Snowflake, dbt-style)
Experience in instrumenting product events and conducting A/B experiments end to end
Commercial instinct focused on solving revenue problems
Comfortable with REST APIs, webhooks, and integrating third-party GTM tools
Operator mindset with direct customer interaction and ability to ship fixes independently
Responsibilities
Build account-level PLG signals to predict enterprise deals and publish trusted models for sales
Own in-product paths from self-serve to sales, measuring effectiveness from entry points to booked meetings
Lead end-to-end experiments on sales-assist surfaces, partnering with Data Science for comprehensive analysis
Develop internal tools and automation for Growth and GTM teams
Collaborate with Sales, Sales Systems, Data Science, Marketing, and Product to convert product signals into pipeline
Benefits
Flexible work environment
Opportunities for professional development
Collaborative team culture
Access to cutting-edge technology and tools
Health and wellness programs
Full Job Description
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people and teams adopt Perplexity and Computer on their own, and the Growth team owns the loops that turn that adoption into lasting usage and revenue.
We're hiring a Growth GTM Engineer to build the systems that turn product usage into revenue and turn self-serve usage into enterprise pipeline. You'll turn first-party Computer and Enterprise usage into account-level signals. You'll ship the in-product paths that capture sales intent, and build and validate those signals with data science. Alongside product engineers, you ship production code, instrument the product and run experiments. You'll partner closely with Revenue Operations, who own Salesforce, CPQ, routing and sales reporting.
Build account-level PLG signals: map users and workspaces to accounts, and define the activation, expansion and intent signals that predict an enterprise deal. Publish them as trusted models that sales use for scoring and routing.
Own the in-product paths from self-serve to sales, like contact-sales entry points, high-intent upsells and meeting booking, across web and app. Decide who sees them, when and with what context, and measure them end to end, from surface to booked meeting to pipeline.
Lead experiments end to end on sales-assist surfaces and targeting, from hypothesis and instrumentation through analysis and rollout. Partner with Data Science to measure meetings and qualified opportunities, not just clicks.
Build the internal tools and automation Growth and GTM teams run on
Partner closely with Sales, Sales Systems, Data Science, Marketing and Product to turn product signals into pipeline. Be upstream partner to sales systems that own Salesforce, CPQ and routing
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 ("trial-to-enterprise conversion won't move") 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.
Nice to Have
Experience in a PLG-to-enterprise motion: product-qualified leads, scoring users into accounts, sales-assist flows.
Experience as a GTM or growth engineer at a B2B SaaS or GTM-tooling company.
Entity resolution, dedup or domain enrichment.
Familiarity with Salesforce, Default, Chili Piper, Intercom, Clay, Hightouch/Polytomic or similar (as a consumer and integrator, not an admin).
Experience building LLM-powered internal tools or agents.
