Staff AI Engineer, Growth

About the Role

The Growth Marketing Lead will be instrumental in scaling Pinecone's growth engine, blending technical execution with strategic growth initiatives across Product-Led Growth (PLG) and sales-assisted motions. This role sits at the intersection of engineering, marketing, and product—building the technical infrastructure and campaigns that convert developers into qualified pipeline and revenue. You'll architect automated systems, optimize conversion funnels, and leverage data-driven experimentation to accelerate Pinecone's growth trajectory.

Responsibilities

• Ship AI-driven signup experiments daily: Build and test personalized landing pages, signup flows, and pricing variants using semantic search to match visitor intent; automate lead enrichment pipelines that classify ICP fit and route high-value signups to SDRs instantly
• Create adaptive activation systems: Build AI-powered onboarding workflows that personalize tutorials, code samples, and integration guides in real-time based on user behavior; deploy automated health dashboards that flag dormant users and trigger intervention experiments
• Automate pipeline generation workflows: Use AI to generate programmatic SEO content, optimize for search intent, and detect buying signals from activity (Discord, GitHub, website, ads); auto-enrich accounts and create CRM opportunities
• Build AI agents and internal research tools: Ship agents that personalize email sequences, in-app messaging, and Slack community outreach for external users; create internal utilities for Marketing/Sales teams to instantly look up user context, journey stage, and behavior patterns using semantic search over CRM, product usage, and community data
• Build measurement and attribution infrastructure: Create end-to-end tracking systems that connect traffic sources → signups → activations with causal attribution; automate dashboards and experiments that measure impact on conversion rates, activation velocity, and pipeline generation

Requirements

• 4+ years building full-stack applications in production environments (Python, JavaScript/TypeScript, or similar)
• Hands-on experience with AI/ML APIs (OpenAI, Anthropic, or similar) and vector databases
• Track record driving measurable growth outcomes (signups, activations, pipeline) in PLG or B2B SaaS
• Proficiency with marketing automation platforms (HubSpot, Salesforce) and data analysis tools (SQL, Python)
• Strong experimentation mindset: A/B testing, measurement frameworks, and data-driven decision making

Qualifications

• Built AI agents, agentic RAG systems, or semantic search applications
• Experience with workflow automation tools (n8n, Zapier, Clay) and CRM/data warehouse integrations
• Developer marketing or technical GTM experience in AI/infrastructure space
• Early-stage startup background with hands-on growth engineering
• Familiarity with modern data stack (dbt, Snowflake/BigQuery, reverse ETL)