Staff AI Engineer, Growth
About Pinecone:
Pinecone is the leading vector database for building accurate and performant AI applications at scale in production. Pinecone's mission is to make AI knowledgeable. More than 9000 customers across various industries have shipped AI applications faster and more confidently with Pinecone's developer-friendly technology. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital.
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
Preferred Skills:
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)
Perks & Benefits:
Comprehensive health coverage including Medical, Dental, Vision
Free mental health therapy sessions; free One Medical, Tela-doc, and Health Advocate subscriptions
Cost-savings on gynecology, fertility, and family-building care
Equity award
401(k)
Flexible time off
Paid parental leave
Annual Department Retreat
WFH Equipment Stipend
All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.