Pinecone

Business Development Rep

• Drive Sales Opportunities: Proactively engage users exhibiting high-potential usage signals (e.g., specific API patterns, advanced feature experimentation, new workspace invites) to guide them toward opportunities for the sales team.
• Identify & Convert: Execute highly personalized, data-driven outreach sequences to connect with AI practitioners, technical leads, and business decision-makers. Your goal is to understand their platform behaviors and signals in order to generate qualified sales leads.
• Surface PQLs: Partner with RevOps and Growth to analyze product telemetry and surface Product-Qualified Leads (PQLs) with clear expansion potential (e.g., users building RAG, Agents, semantic search, or recommender systems).
• Work on GTM Automation: Collaborate with RevOps to build and maintain scalable sales automation workflows using tools like Clay, n8n, Zapier, Retool, and our own product's query insights to dramatically reduce manual prospecting.
• Innovate on Engagement: Go beyond standard outbound. Use AI-assisted personalization, shareable technical sandbox links, LinkedIn video DMs, and voice notes to provide tangible value in every interaction.
• Create Feedback Loops: Work cross-functionally with Product and Marketing to provide direct feedback on inbound quality, user friction points, and emerging persona trends from the front lines.

Business Development Representative

Infrastructure Engineer

• Design and build scalable platform components leveraging advanced retrieval via query planning, semantic and hybrid search, metadata-aware search, and LLM generation
• Design and build optimized indexing pipelines for structured and unstructured data
• Build backend services for semantic and hybrid retrieval, knowledge graph construction, and retrieval orchestration
• Improve retrieval quality through evaluation and observability frameworks
• Design APIs for internal and external user and agentic consumers
• Optimize latency, throughput and cost across large-scale inference and retrieval workloads
• Drive technical direction for reliability and security

Senior/Staff Software Engineer, Search & Retrieval Infrastructure

Full-stack Engineer

• Collaborate with teammates to design and build database features that power AI applications.
• Learn how to tune performance and support reliability in distributed systems (don’t worry, we’ll guide you).
• Help Pinecone run smoothly on popular cloud providers.
• Take ownership of your work and grow your skills every day.
• Have fun.

Senior/Staff Software Engineer, Database Team

Platform Engineer

• Own and build the ingestion layer. Design, deploy, and scale pipelines that pull from third-party APIs, internal services, and SaaS tools into BigQuery. Add new sources as the business demands.
• Own and build the transform layer. Develop and maintain our DBT project, including staging, intermediate, and marts. Maintain core business datasets: users, organizations, indexes, accounts, usage, revenue. Write tests, snapshots, and documentation. Drive data quality and trust.
• Own and build the orchestration platform. Operate the Airflow-on-Kubernetes environment that runs our ingest and DBT workloads. Improve reliability, scalability, observability, and CI/CD.
• Establish and maintain the business-context and metrics layer. Curate metric definitions and documentation that feed both human analysts and agents.
• Manage infrastructure cost and performance. Manage BigQuery, GKE, Cloud Run, and Kafka costs, right-size compute, and make sure the platform stays efficient.
• Lead and own mission-critical company-level analyses. Partner with finance, GTM, product, and exec stakeholders to answer business questions, design metrics, run experiments and evaluations, build views in BI tools, and ship dashboards that support key business decisions as well as regular reporting to the Board of Directors.
• Enable other teams to self-serve. Onboard analysts and non-DE stakeholders onto the warehouse, help them with best practices, and create reusable models and tooling.
• Set the standard for AI-assisted data workflow. Establish best AI practices and patterns that enable a small data team to operate with outsized leverage.

Business Development Representative

Senior/Staff Software Engineer, Search & Retrieval Infrastructure

Senior/Staff Software Engineer, Database Team

Senior Data Platform Engineer