Senior Software Engineer, Pinecone
Experience Platform Team
$180-220k
Offers equity
The vector database to build knowledgeable AI
Open for applications
The vector database to build knowledgeable AI
101-200 employees
Open for applications
$180-220k
Offers equity
101-200 employees
Company mission
Pinecone's mission it to make AI knowledgeable.
Role
Who you are
- At least 5 years of experience in full-stack or backend development (NodeJS, Rust, Python, or Go)
- Experience with queueing and streaming technologies like Kafka, Kinesis, or Pub/Sub
- Familiarity with creating web interfaces with React or other frontend frameworks
- Expertise in event-driven system design and distributed systems principles
- Proficiency in building reliable data processing pipelines for usage tracking and reconciliation
- Familiarity with integrating third-party APIs and handling inconsistent data
- Hands-on experience with one or more major cloud providers (AWS, GCP, Azure), especially services related to data streaming, serverless compute, and data storage
- Strong understanding of RESTful API design
- We need someone who isn’t satisfied until their work has had a measurable impact on our users and who’s willing to reach across the stack to find opportunities for innovation
What the job involves
- The Experience Platform team is looking for a full-stack/backend software engineer who’s excited to build foundational product systems that will scale with Pinecone’s rapid growth
- You will have a wide scope of responsibility and ownership over delivering an exceptional user experience, from data and server architecture to API design and UI development
- For this role, we’re looking for someone who can dive into our metering and data pipelines to increase scalability, reliability, and performance
- As a new team at Pinecone, we have a strong mandate to deliver a world-class product experience for our users across a wide range of domains, including authentication, observability, usage metering, and growth initiatives
- Our mission is to accelerate product development and user acquisition through high-leverage platform capabilities
- The team is small and authors primarily in Typescript and Rust
- We work very closely with product, design, and other engineering teams to identify user needs and build the right thing, at the right abstraction level, at the right time
- Design event-driven architectures and distributed systems for reliable real-time and batch event processing
- Develop queueing and streaming systems (e.g., Kafka, Kinesis) with robust event handling mechanisms
- Build pipelines for ingesting, transforming, and aggregating usage data, ensuring accuracy and reliability
- Integrate with external APIs and vendor systems, designing for resiliency against outages or inconsistent data
- Create auditable and observable systems with monitoring, alerting, and verification mechanisms
- Implement end-to-end user experiences across multiple services and web applications
Our take
Vector databases arrived on the scene only a few years ago, but the technology has already helped power a new breed of search engines that are based on neural networks as opposed to keywords. Vector databases quickly became popular in the world of machine learning and AI and they will continue to play a significant role in the future development of AI technologies.
Pinecone is a vector database company that specializes in providing an efficient and scalable solution for high-performance vector search applications. The platform is designed to allow businesses and developers to build, deploy, and manage machine learning applications without the hassle of infrastructures.
Pinecone has continued to build out its platform to meet the growing demands of enterprise-scale AI workloads. And most recently, the company introduced Dedicated Read Nodes (DRNs), a high-performance deployment option designed for latency-sensitive, high-throughput use cases such as billion-vector semantic search, real-time recommendation systems, and user-facing AI assistants. By offering isolated, provisioned capacity with predictable performance and costs, DRNs address a key challenge for production AI systems that require consistent low latency under heavy load.
Alongside this, Pinecone has strengthened its partnership with Microsoft, leveraging Azure's global infrastructure, security, and go-to-market ecosystem to support large-scale, production-grade AI applications. These developments signal a shift from early experimentation toward mature, mission-critical deployments, positioning Pinecones as a core piece of enterprise AI infrastructure rather than just an emerging vector database provider.
Freddie
Company Specialist at Welcome to the Jungle
Insights
96% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Apr 2023
$100m
SERIES B
Mar 2022
$28m
SERIES A
Total funding: $138m
Company benefits
- Health and Wellness: Medical, dental and vision plans, paid parental leave, and mental health resources offer holistic well-being coverage for you and your family.
- Compensation and Financial Benefits: Pinecone offers competitive base salary and equity compensation, opportunity to build a savings and investment portfolio, and resources to protect your family from the unexpected.
- Other Benefits: Pinecone is a hybrid in-office/remote workforce that offers Flexible PTO and WFH Equipment Stipend. Employees also enjoy attending our annual company retreat and occasional team offsites.
Company HQ
Civic Center, New York, NY
Leadership
Edo Liberty
(Founder & Chief Scientist)Edo was previously a Visiting Lecturer at Princeton University. Before that, he worked in Research at Amazon SageMaker/AI Labs and at Yahoo! as a Research Scientist and Director.
Ash Ashutosh
(CEO)Prior to joining Pinecone in 2025, Ash worked at Google in Products and as a Global Director of Solution Sales. He also previously founded Actifio where he served as the CEO and President for over 11 years.
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