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Pinecone

Fully-managed vector database for AI

Associate Field Engineer

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeNew York, NY, USAIn-person

About the Job

Requirements

  • A Bachelor of Science degree in Computer Science or a related technical field, or equivalent experience.
  • Strong technical acumen and the ability to understand and explain APIs, cloud infrastructure, data pipelines, and enterprise software integrations.
  • Ability to communicate complex technical concepts to technical and non-technical audiences.
  • Familiarity with embeddings, similarity search, recommendation systems, and retrieval-augmented generation (RAG).
  • Proficiency in one or more popular programming languages, such as Python or JavaScript.

Responsibilities

  • Serve as a technical point of contact for customers throughout their journey from evaluation to production, applying best practices and accelerating time-to-value.
  • Understand customer architectures, use cases, and requirements to influence the roadmap and devise solutions that advance customer goals.
  • Build resources to monitor customer health, identify risks proactively, and drive expansion opportunities.
  • Troubleshoot issues and provide technical support, developing command of Pinecone's product and the broader artificial intelligence and machine learning ecosystem.
  • Build processes and capture knowledge to scale and automate support, success, and outreach initiatives.
  • Partner with Sales on technical discovery, deliver product demonstrations, and contribute to proof-of-concept evaluations.
  • Contribute as a developer to customer experience tooling, integrations, documentation, and internal workflows, and provide feedback.

Desired Qualifications

  • Experience with Datadog or similar monitoring tools.
  • Experience working with cloud platforms such as AWS, Google Cloud Platform, or Microsoft Azure.

About the Company

Pinecone

Fully-managed vector database for AI

Pinecone provides a high-performance, fully managed vector database for businesses to store and search vector embeddings. Its service lets developers convert data into vectors and run fast similarity searches so Generative AI models can pull relevant context for tasks like chatbots. It differentiates itself by offering a scalable, developer-friendly platform with a starter free plan and transparent, resource-based pricing so customers pay only for what they use. The goal is to help organizations build AI-powered applications that understand and efficiently retrieve information from their data.

Company size
51-200
Company stage
Series B
Total funding
$138M
Headquarters
New York City, New York
Founded
2019

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