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Pinecone

Fully-managed vector database for AI

Full-Stack Software Engineer - Experience

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USAHybrid

About the Job

Requirements

  • At least 2 years of software engineering experience.
  • A bias toward automation and leverage, using systems and tooling before manual effort.
  • Hands-on experience shipping with AI coding tools such as Claude Code, Cursor, Copilot, or similar tools as a genuine part of the workflow.
  • Proven ability to design and deliver APIs for a rapidly scaling product surface.
  • Proficiency building web interfaces with React or a similar technology.
  • Experience with at least one major cloud provider: AWS, GCP, or Azure.
  • Strong intuition for designing APIs that humans and agents can use correctly.

Responsibilities

  • Influence product rollouts, propose and build new features, and advocate for customer experiences that build confidence.
  • Ship end-to-end experiences across API, SDK, and web, owning the surface from the HTTP layer to the user interface and making decisions across it.
  • Own integrations with billing systems and vendor APIs, designing for resilience against outages, schema drift, and inconsistent data.
  • Create observable, auditable systems with monitoring, alerting, and verification mechanisms that give leadership and customers confidence in the numbers.
  • Use AI-assisted development tools and help establish patterns that enable a small team to work at high velocity.
  • Partner with finance, product, and design to translate business requirements into scalable technical solutions and challenge unsuitable abstraction levels.

Desired Qualifications

  • Experience at a SaaS company with usage-based or consumption pricing models.
  • Experience building billing-specific features, such as usage dashboards or cost reporting.
  • Strong familiarity with a compiled language such as Rust, Go, or Java.
  • Experience integrating third-party financial APIs and building defensively against inconsistent or delayed data.
  • Experience with queueing and streaming technologies such as Kafka, Kinesis, or Pub/Sub.

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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