
Job Overview
Location
Remote
Job Type
Full-time
Category
Software Engineer
Date Posted
March 4, 2026
Full Job Description
đź“‹ Description
- • As a Senior Software Engineer, Revenue at Pinecone Systems Inc., you will be instrumental in architecting, developing, and scaling the critical revenue systems that form the financial backbone of our rapidly growing company. This is a unique opportunity to take on significant technical leadership and ownership within the Experience Platform team, focusing on the intricate details of billing, metering, and revenue pipelines.
- • Your primary responsibility will be to set the technical direction for these vital systems. This includes defining the architectural vision, establishing robust engineering standards, and selecting appropriate tooling to ensure the highest levels of reliability, scalability, and accuracy. You will be the foremost technical authority on revenue infrastructure, guiding the team and the broader engineering organization.
- • You will be tasked with building and scaling sophisticated event-driven pipelines. These pipelines will be responsible for ingesting, transforming, and aggregating vast amounts of usage data. A relentless focus on accuracy, reliability, and auditability will be paramount, ensuring that every dollar of customer usage is captured, reconciled, and reported with absolute precision.
- • A key aspect of this role involves owning and managing integrations with external financial systems and third-party vendor APIs. You will design these integrations with resilience in mind, anticipating and mitigating potential issues such as system outages, schema drift, and inconsistent or delayed data feeds.
- • Creating observable and auditable systems is a core requirement. You will implement comprehensive monitoring, alerting, and verification mechanisms. These systems will provide finance and leadership teams with unwavering confidence in the accuracy and integrity of financial reporting and usage metrics.
- • Embracing an AI-forward mindset is not just encouraged but expected. You will actively seek out and implement AI-assisted development practices, leveraging the latest tools and establishing patterns that empower a lean team to achieve extraordinary velocity and efficiency. This means using AI to augment development, testing, and operational tasks.
- • You will collaborate closely with stakeholders across finance, product, and design. This partnership will involve translating complex business requirements into scalable and robust technical solutions. Equally important will be your ability to critically assess proposed solutions and push back when the abstraction level or technical approach is not optimal for long-term maintainability and scalability.
- • This role demands a high degree of ownership. You will be expected to operate at both strategic and tactical levels, from defining high-level architecture to diving deep into code and implementation details. You will be a hands-on contributor, building the systems you design.
- • You will contribute to the overall engineering culture at Pinecone, promoting best practices in distributed systems, event-driven architectures, and reliable data processing. Your work will directly impact the company's ability to accurately monetize its services and provide transparent usage insights to customers.
- • The systems you build will be foundational to Pinecone's continued growth and success, ensuring that as the company scales, our revenue operations remain robust, accurate, and efficient. This is an opportunity to make a significant impact on a leading AI infrastructure company.
Skills & Technologies
Python
JavaScript
Rust
React
Node.js
Senior
Remote
About Pinecone Systems Inc.
Pinecone provides a managed, cloud-native vector database that lets engineers build and scale machine-learning applications such as semantic search, recommendation systems, and retrieval-augmented generation. The platform automates indexing, sharding, and updates while offering low-latency approximate-nearest-neighbor queries at billions of vectors. It supports hybrid dense-sparse retrieval, metadata filtering, and real-time inserts and deletes. Available on AWS, GCP, and Azure, Pinecone handles infrastructure, security, and scaling so teams can focus on model development rather than operations.
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