Staff AI Engineer, Growth

Pinecone is the leading vector database for building accurate and performant AI applications at scale in production. They are seeking a Staff AI Engineer, Growth to scale their growth engine by blending technical execution with strategic growth initiatives, focusing on building automated systems and optimizing conversion funnels.

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
• 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)