Full-Time

Technical Support Engineer

Confirmed live in the last 24 hours

Pinecone

Pinecone

51-200 employees

High-performance vector database for AI applications

Enterprise Software
AI & Machine Learning

Junior, Mid

Manchester, UK

Category
Customer Success & Support
IT Support
IT & Security
Required Skills
Microsoft Azure
Python
JavaScript
Java
AWS
Go
LangChain
C/C++
Google Cloud Platform
Requirements
  • Bachelor’s degree (or equivalent experience) in computer science or a related field
  • 2+ years of experience in a technical support or customer-facing technical role
  • Proficiency in two or more popular programming languages (Python, JavaScript, Java, Go, C)
  • Working knowledge of ML and AI
  • Experience with cloud providers (AWS, Azure, GCP)
  • Excellent written and verbal communication skills
  • Strong customer service and problem-solving skills
  • Ability to work independently in a fast-paced, team environment
  • Preference for experience working with LangChain, LlamaIndex, OpenAI, Cohere, and other Pinecone integrations
Responsibilities
  • Provide technical support to customers, including troubleshooting complex technical issues
  • Manage and resolve customer inquiries in a timely and effective manner
  • Identify areas of improvement for customer experience
  • Ideate and implement strategies for improving and scaling support processes
  • Build tools and automation to optimize our workflows
  • Enhance our product literature by creating knowledge base articles and improving our online documentation

Pinecone provides a fully-managed vector database that helps businesses develop AI applications capable of storing and searching through vector embeddings. This technology allows applications, such as chatbots, to understand and interpret data meaningfully, enabling them to retrieve relevant information effectively. By using Pinecone's services, chatbots can access the most pertinent context from a company's data, enhancing their ability to answer queries accurately. Pinecone operates on a scalable model, allowing users to start for free and pay only for the resources they use, making it accessible for both small startups and large corporations. The services are designed to be developer-friendly, allowing businesses to focus on their applications without worrying about infrastructure maintenance or troubleshooting.

Company Stage

N/A

Total Funding

$134.2M

Headquarters

New York City, New York

Founded

2019

Growth & Insights
Headcount

6 month growth

-3%

1 year growth

51%

2 year growth

302%
Simplify Jobs

Simplify's Take

What believers are saying

  • Partnerships with companies like Gathr and Robust Intelligence enhance Pinecone's capabilities in retrieval-augmented generation (RAG) applications.
  • The launch of a serverless vector database product promises significant cost savings and operational efficiency for clients.
  • The new Pinecone Partner Program could expand their market reach and foster a robust ecosystem around their technology.

What critics are saying

  • The competitive landscape for vector databases is intensifying, with major players like DataStax entering the market.
  • Rapid technological advancements in AI could render Pinecone's current offerings obsolete if they fail to innovate quickly.

What makes Pinecone unique

  • Pinecone's focus on a fully-managed vector database specifically for AI applications sets it apart from general-purpose databases.
  • Their scalable, resource-based pricing model allows businesses to start small and scale efficiently, unlike competitors with rigid pricing structures.
  • Pinecone's developer-friendly approach eliminates the need for infrastructure maintenance, making it highly accessible to a wide range of clients.

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