Member of Technical Staff (GTM Engineer, Growth)

Perplexity•San Francisco, CA
•$180,000 - $270,000

About The Position

Perplexity is hiring a Growth GTM Engineer for its Growth team, which develops systems that turn product adoption and self-serve usage into lasting engagement, revenue, and enterprise pipeline. The role converts first-party Computer and Enterprise usage into account-level signals, builds in-product paths that capture sales intent, and validates those signals with Data Science. The engineer works alongside product engineers to ship production code, instrument the product, and run experiments, while partnering with Revenue Operations, which owns Salesforce, CPQ, routing, and sales reporting. The tech stack includes TypeScript, Next.js, React, Python, PostgreSQL, Snowflake, Eppo, and AWS. Perplexity emphasizes craftsmanship, ownership, entrepreneurship, scholarship, and partnership.

Requirements

  • At least 2 years as a growth, GTM, data, or full-stack engineer, shipping production code.
  • Production-code experience with TypeScript/React and Python.
  • Strong SQL skills and comfort building data models in a warehouse such as Snowflake, including dbt-style modeling.
  • Experience instrumenting product events and running A/B experiments end to end.
  • Commercial instinct to start from a revenue problem and work back to the signal or product surface that can address it.
  • Comfort with REST APIs, webhooks, and integrating third-party GTM tools.
  • Operator mindset, including direct customer conversations and independently shipping fixes.

Nice To Haves

  • Experience with a PLG-to-enterprise motion, including product-qualified leads, scoring users into accounts, or sales-assist flows.
  • Experience as a GTM or growth engineer at a B2B SaaS or GTM-tooling company.
  • Experience with entity resolution, deduplication, or domain enrichment.
  • Familiarity with Salesforce, Default, Chili Piper, Intercom, Clay, Hightouch, Polytomic, or similar tools as a consumer and integrator rather than an administrator.
  • Experience building LLM-powered internal tools or agents.

Responsibilities

  • Map users and workspaces to accounts and define activation, expansion, and intent signals that predict enterprise deals.
  • Publish trusted account-level models for sales scoring and routing.
  • Own in-product self-serve-to-sales paths across web and app, including contact-sales entry points, high-intent upsells, and meeting booking.
  • Determine targeting, timing, and context for sales-assist paths, and measure results from the product surface through booked meetings and pipeline.
  • Lead experiments 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 internal tools and automation for Growth and GTM teams.
  • Partner with Sales, Sales Systems, Data Science, Marketing, and Product to turn product signals into pipeline.
  • Work upstream with Sales Systems, which owns Salesforce, CPQ, and routing.
  • Talk directly to customers, ship fixes, and work without requiring a PM to translate requests.
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