---
title: 'Full-Stack Software Engineer, Experience at Pinecone'
canonical: 'https://feeny.ai/job/full-stack-software-engineer-experience-pinecone-new-york-kb18j8k3m0w3'
type: 'job'
last_seen: '2026-11-02'
---

# Full-Stack Software Engineer, Experience at Pinecone

- **Company:** Pinecone
- **Location:** New York, NY
- **Compensation:** $165k–$190k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-21
- **Last confirmed live:** 2026-11-02
- **Apply:** https://jobs.ashbyhq.com/pinecone/08760530-e6c3-4167-9272-923d85a2388d

## Job description

## About Pinecone

Pinecone is the leading vector database for building accurate and performant AI applications at scale in production. Pinecone's mission is to make AI knowledgeable. More than 9000 customers across various industries have shipped AI applications faster and more confidently with Pinecone's developer-friendly technology. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital.

About the Team and Role: Pinecone is looking for a full-stack engineer to bring a new level of visibility, control, and trust to our product experiences. From cost metrics and spend alerts to interactive usage dashboards, we’re looking for a product-focused engineer who will deliver transparent and accurate insights to our customers. As a member of the Experience Platform team, you’ll have direct ownership over the billing, management, and authentication interfaces that we need our customers to understand and trust. You understand the responsibility and care this type of work requires, while also moving quickly to match Pinecone’s rapid growth. You’ll do this by working closely with product, design, and other engineering teams to identify user and system needs and build the right thing, at the right abstraction level, at the right time.

Responsibilities:

- Shape our product experience. Influence the rollout of products, propose and build new features, and advocate for experiences that will build confidence with our customers.
- Ship end-to-end experiences across API, SDK, and web. You'll own the full surface, from the HTTP layer to the UI, and you'll make calls across all of it.
- Own integrations with billing systems and vendor APIs, designing for resiliency 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.
- Bring AI-assisted development practices to the team — use the best tools available and help establish patterns that let a small team move at a pace that shouldn't be possible.
- Partner with finance, product, and design to translate business requirements into scalable technical solutions, and push back when the abstraction level isn't right.

Requirements: Engineers at Pinecone operate with high autonomy. You'll be an active partner in setting strategy on APIs, interfaces, observability, and our product experience — not just executing on a roadmap. We care more about how you think and how you work than whether your resume checks every box. In exchange, we’ll make sure you’re set up for success with mentorship and technical guidance. You should have:

- At least 2 years of software engineering experience
- A bias toward automation and leverage — you reach for systems and tooling before you reach for elbow grease
- Hands-on experience shipping with AI coding tools (Claude Code, Cursor, Copilot, or similar) as a genuine part of your workflow
- Proven ability to design and deliver APIs for a rapidly scaling product surface
- Proficiency building web interfaces with React or similar
- Experience with at least one major cloud provider (AWS, GCP, Azure)
- Strong intuition for what makes APIs easy for both humans and agents to use correctly

Bonus points for:

- 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 like Rust, Go, or Java
- Experience integrating with 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

Perks & Benefits:

- Comprehensive health coverage including medical, dental, vision, and mental health resources
- 401(k) Plan
- Equity award
- Flexible time off
- Paid parental leave
- WFH Equipment Stipend

All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.

## About Pinecone

## Company Overview

- **One-liner**: Pinecone is the knowledge infrastructure for AI at scale, providing the leading vector database and knowledge engine for building accurate, performant AI applications.
- **Entity Type**: Private (backed by Andreessen Horowitz, ICONIQ, Menlo Ventures, Wing Venture Capital)
- **Headquarters**: New York City, NY, USA (with an additional office in Tel Aviv, Israel)
- **Founded**: 2019
- **Founders**: Edo Liberty

## Core Business

- **Primary industry/industries**: Vector database / AI infrastructure / Knowledge management
- **Target customers**: B2B – developers, engineering teams of all sizes, enterprise customers building AI applications (search, recommendation, agents, RAG)
- **Mission or purpose statement**: "Make AI knowledgeable."

## Products & Services

- **Pinecone Vector Database**: Fully managed, serverless vector database optimized for low-latency similarity search at billion-scale with automatic scaling, built-in freshness, and a cloud-native architecture.
- **Pinecone Nexus**: Knowledge engine that combines cutting-edge models (embedding, planning, reranking) with flexible query mechanisms (vector, keyword, filtering) for end-to-end retrieval.
- **Pinecone Assistant**: A conversational interface built on the vector database for question-answering over custom data.
- **Pinecone Dedicated Read Nodes**: Isolated read replicas for high-throughput workloads with strict SLAs.
- **Pinecone BYOC (Bring Your Own Cloud)**: Deployment option that runs within a customer’s own cloud environment for compliance and security requirements.

## Market Standing

- **Valuation/Market Cap**: Not publicly disclosed.
- **Key Metric**: Serves more than **10,000 customers** and **1 million developers** worldwide (source: company page).
- **Notable Investors/Partners**: Andreessen Horowitz, ICONIQ, Menlo Ventures, Wing Venture Capital.
- **Growth Signals**: Rapidly expanding product suite (Nexus, Assistant, MCP Server), hybrid workforce scaling, continuous hiring in engineering and product roles, and growing adoption among enterprises building AI agents.

## Competitive Advantages

- **Proprietary Rust-based implementations** of state-of-the-art algorithms delivering industry-leading performance and low latency.
- **Cloud-native architecture** that separates storage from compute and reads from writes, enabling hands-free scaling to billions of vectors and thousands of queries per second.
- **Fully managed serverless experience** – no capacity planning or infrastructure tuning needed; built-in freshness for dynamic workloads.
- **Best-in-class developer experience** with intuitive APIs, SDKs, extensive documentation, and deep ecosystem integrations (e.g., MCP servers, LangChain, LlamaIndex).
- **Cost-effective retrieval** via object-storage-based data tiering and multi-tenant resource packing.

## Strategic Focus

- Deepening the "knowledge infrastructure" platform to power the next generation of **AI agents** and intelligent applications.
- Advancing retrieval quality with sparse-dense embeddings, reranking, and multimodal capabilities.
- Scaling enterprise readiness with BYOC, advanced security features, and compliance certifications.
- Expanding developer community and ecosystem integrations to maintain leadership in the vector database category.

## Why Work Here

- **Work model**: Hybrid in-office/remote with hubs in New York City and Tel Aviv; remote-friendly roles available for many engineering positions.
- **Culture & values**: "Be yourself, Be a friend, Be a pro" – emphasis on authenticity, trust, collaboration, and ownership.
- **Team**: Work with world-class scientists and engineers who previously built large-scale ML and distributed systems at AWS, Databricks, Google, Microsoft, and Yahoo.
- **Benefits**: Competitive base salary + equity, flexible PTO, WFH equipment stipend, annual company retreat and team offsites, comprehensive medical/dental/vision, paid parental leave, mental health resources.
- **Growth**: Early-stage enough to have outsized impact but with strong product-market fit and massive adoption; opportunity to shape the future of AI infrastructure.

## Sources

1. [pinecone.io - Company](https://www.pinecone.io/company/)
2. [pinecone.io - Careers](https://www.pinecone.io/careers/)
3. [pinecone.io - Product](https://www.pinecone.io/)
4. [LinkedIn - Pinecone](https://www.linkedin.com/company/pinecone-io)

## Other roles at Pinecone

- [Applied AI Engineer (Full-Stack)](https://feeny.ai/job/applied-ai-engineer-full-stack-pinecone-new-york-xdb5c406kpy4) — New York, NY
- [Developer Advocate](https://feeny.ai/job/developer-advocate-pinecone-san-francisco-5t1spna19f8a) — San Francisco, CA
- [Associate Field Engineer](https://feeny.ai/job/associate-field-engineer-pinecone-new-york-br24nmbs7sht) — New York, NY
- [Technical Product Marketing Manager (Staff)](https://feeny.ai/job/technical-product-marketing-manager-staff-pinecone-new-york-4z1wddvsp4h6) — New York, NY
- [Senior/Staff Software Engineer, Search & Retrieval Infrastructure](https://feeny.ai/job/senior-staff-software-engineer-search-retrieval-infrastructure-pinecone-new-york-fxyre636a1n5) — New York, NY
- [Senior/Staff Software Engineer, Search & Retrieval Infrastructure](https://feeny.ai/job/senior-staff-software-engineer-search-retrieval-infrastructure-pinecone-united-b960jp5y27vv) — United States
- [Senior/Staff Software Engineer, Database Team](https://feeny.ai/job/senior-staff-software-engineer-database-team-pinecone-new-york-tgpwgddwyp7k) — New York, NY