Staff AI Engineer, Pinecone
Growth
$180-240k
+ Equity award for full-time roles
The vector database to build knowledgeable AI
Job no longer available
The vector database to build knowledgeable AI
101-200 employees
Job no longer available
$180-240k
+ Equity award for full-time roles
101-200 employees
Company mission
Pinecone's mission it to make AI knowledgeable.
Role
Who you are
- 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
Desirable
- 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)
What the job involves
- 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
- 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
Our take
Vector databases arrived on the scene only a few years ago, but the technology has already helped power a new breed of search engines that are based on neural networks as opposed to keywords. Vector databases quickly became popular in the world of machine learning and AI and they will continue to play a significant role in the future development of AI technologies.
Pinecone is a vector database company that specializes in providing an efficient and scalable solution for high-performance vector search applications. The platform is designed to allow businesses and developers to build, deploy, and manage machine learning applications without the hassle of infrastructures.
Pinecone has continued to build out its platform to meet the growing demands of enterprise-scale AI workloads. And most recently, the company introduced Dedicated Read Nodes (DRNs), a high-performance deployment option designed for latency-sensitive, high-throughput use cases such as billion-vector semantic search, real-time recommendation systems, and user-facing AI assistants. By offering isolated, provisioned capacity with predictable performance and costs, DRNs address a key challenge for production AI systems that require consistent low latency under heavy load.
Alongside this, Pinecone has strengthened its partnership with Microsoft, leveraging Azure's global infrastructure, security, and go-to-market ecosystem to support large-scale, production-grade AI applications. These developments signal a shift from early experimentation toward mature, mission-critical deployments, positioning Pinecones as a core piece of enterprise AI infrastructure rather than just an emerging vector database provider.
Freddie
Company Specialist at Welcome to the Jungle
Insights
96% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Apr 2023
$100m
SERIES B
Mar 2022
$28m
SERIES A
Total funding: $138m
Company benefits
- Health and Wellness: Medical, dental and vision plans, paid parental leave, and mental health resources offer holistic well-being coverage for you and your family.
- Compensation and Financial Benefits: Pinecone offers competitive base salary and equity compensation, opportunity to build a savings and investment portfolio, and resources to protect your family from the unexpected.
- Other Benefits: Pinecone is a hybrid in-office/remote workforce that offers Flexible PTO and WFH Equipment Stipend. Employees also enjoy attending our annual company retreat and occasional team offsites.
Company HQ
Civic Center, New York, NY
Leadership
Edo Liberty
(Founder & Chief Scientist)Edo was previously a Visiting Lecturer at Princeton University. Before that, he worked in Research at Amazon SageMaker/AI Labs and at Yahoo! as a Research Scientist and Director.
Ash Ashutosh
(CEO)Prior to joining Pinecone in 2025, Ash worked at Google in Products and as a Global Director of Solution Sales. He also previously founded Actifio where he served as the CEO and President for over 11 years.
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