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Pinecone

Fully-managed vector database for AI

Solutions Engineer

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeRemote

About the Job

Requirements

  • The role requires 5–7 years of enterprise experience in a customer- and prospect-facing pre-sales role.
  • The candidate needs strong presentation skills for technical and executive audiences, including impromptu whiteboard presentations and presentations or demonstrations.
  • The candidate needs broad experience with large-scale database and/or data warehouse technology, ETL, analytics, and cloud technologies.
  • The candidate needs hands-on expertise with SQL and SQL analytics.
  • The candidate must be able to connect customers’ specific business problems with Pinecone’s solutions.

Responsibilities

  • Present Pinecone technology and vision to officials and technical contributors at prospects and customers.
  • Work hands-on with prospects and customers to demonstrate and communicate Pinecone technology’s value throughout the sales cycle, from demonstrations and proof of concepts through design and implementation.
  • Maintain a deep understanding of the evolving industry, competitive and complementary technologies and vendors, and how to position Pinecone in relation to them.
  • Collaborate with Product Management, Engineering, and Marketing to continuously improve Pinecone’s products and marketing.

Desired Qualifications

  • Broad knowledge of cloud platforms, with AWS, Azure, and GCP preferred.
  • A university degree in computer science, engineering, mathematics, or related fields, or equivalent experience, is preferred.
  • Skills in data science and data applications development, including knowledge of Scala, Python, and JavaScript, are a bonus.

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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