Member of Technical Staff (GTM Engineer, Growth) (AI)

Location: San Francisco, with New York City also listed; United States

Salary: $180K–$270K annual

Company

Perplexity builds AI products, including Computer, and develops growth systems that convert product adoption into lasting usage, revenue, and enterprise pipeline.

What you will do

• Build account-level product-led growth signals by mapping users and workspaces to accounts and defining activation, expansion, and intent signals for enterprise sales.
• Develop in-product self-serve-to-sales paths, including contact-sales entry points, high-intent upsells, and meeting booking across web and app.
• Lead experiments on sales-assist surfaces and targeting from hypothesis and instrumentation through analysis and rollout.
• Build internal tools and automation for Growth and GTM teams.
• Partner with Sales, Sales Systems, Data Science, Marketing, Product, and Revenue Operations to turn product signals into pipeline.

Requirements

• 2+ years of experience as a growth, GTM, data, or full-stack engineer shipping production code with TypeScript/React and Python.
• Strong SQL skills and experience building warehouse data models, including Snowflake or dbt-style workflows.
• Experience instrumenting product events and running A/B experiments end to end.
• Commercial instinct, starting from a revenue problem and identifying the signal or product surface that addresses it.
• Comfort with REST APIs, webhooks, and third-party GTM tool integrations.
• Operator mindset, including direct customer conversations, shipping fixes, and independently translating requests into solutions.

Nice to have

• Experience with a PLG-to-enterprise motion, including product-qualified leads, account scoring, and sales-assist flows.
• GTM or growth engineering experience 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.
• Experience building LLM-powered internal tools or agents.

Culture & Benefits

• Emphasis on craftsmanship and building high-quality products for AI-native and AI-curious users.
• Ownership-oriented environment where engineers identify problems, design solutions, and ship them.
• Entrepreneurial culture focused on urgency and execution.
• Collaborative, knowledge-driven work with close partnership across functions.