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Full-Time

Engineering Manager

Revenue Engineering

Confirmed live in the last 24 hours

Pinecone

Pinecone

201-500 employees

High-performance vector database for AI applications

Data & Analytics
Hardware
Enterprise Software
AI & Machine Learning

Mid, Senior

New York, NY, USA

Category
Data Engineering Management
Engineering Management
Requirements
  • 3+ years of experience leading teams of 5+ people
  • Experience with data-focused systems, eg. usage based billing
  • Familiarity with distributed systems
  • Ability to recruit world-class talent, and make sure they have the conditions to do their best work
  • Drive clarity to ship complex projects in high impact areas
  • Develop a multi-year vision & strategy with incremental deliverables
  • Establish high technical standards and processes
  • Growth mindset, courage and curiosity to stretch beyond your previous experiences
Responsibilities
  • Delivering improvements that make our billing system, metrics, and quotas systems more performant, resilient and accurate
  • Planning with product and finance teams to ensure the roadmap is aligned with our business goals
  • Grow a world class team of engineers and support them in doing the best work of their career
  • Develop and improve processes that ensure consistent delivery against objectives and drive strong alignment across teams
  • Evolve the organizational structure to meet long term objectives

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. Pinecone's services are particularly beneficial for businesses looking to enhance their AI capabilities, as they can deliver accurate responses by providing context from a company's data to Generative-AI models. The company 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. Unlike many competitors, Pinecone focuses on being developer-friendly and eliminates the need for clients to manage infrastructure or troubleshoot algorithms, allowing them to concentrate on building their applications.

Company Stage

Series B

Total Funding

$138M

Headquarters

New York City, New York

Founded

2019

Growth & Insights
Headcount

6 month growth

39%

1 year growth

103%

2 year growth

289%
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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.