RevenueBase

HQ
Boston
11 Total Employees
Year Founded: 2021

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Jobs at RevenueBase

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Recently posted jobs

8 Days AgoSaved
In-Office or Remote
Waltham, MA, USA
Artificial Intelligence • Information Technology • Software • Database
The Customer Engineer will manage customer onboarding, health, and expansion, ensuring clients successfully use the B2B data product and drive value from it.
5 Days AgoSaved
Remote
USA
Artificial Intelligence • Information Technology • Software • Database
Design and maintain scalable data pipelines, ensuring accuracy and reliability. Collaborate with engineers to optimize data systems and enforce best practices.
8 Days AgoSaved
Remote
USA
Artificial Intelligence • Information Technology • Software • Database
The fractional Head of Finance will lead the finance function, automate financial data processes, build reporting infrastructure, and prepare for Series A fundraising.
Artificial Intelligence • Information Technology • Software • Database
Design and deploy horizontally scalable stealth scraping systems (Go or Python/Asyncio) on AWS Lambda/Fargate or Kubernetes; discover hidden/mobile APIs with proxy tools; implement TLS/JA3, HTTP/2 and browser fingerprint evasion; orchestrate large residential/mobile proxy pools at 1M+ req/hr; build real-time monitoring and automated resilience; reverse-engineer mobile apps and complex JS to find private endpoints.
15 Days AgoSaved
Remote
USA
Artificial Intelligence • Information Technology • Software • Database
Build and maintain high-quality web interfaces, own features from implementation to release, work on performance, and integrate APIs with backend engineers.
15 Days AgoSaved
Remote
United States
Artificial Intelligence • Information Technology • Software • Database
The Account Executive will drive sales by understanding the RevenueBase platform, managing a full sales pipeline, and closing deals while contributing to company growth and partnerships.
Artificial Intelligence • Information Technology • Software • Database
Build production-grade AI-powered data tooling: extract data from Snowflake, generate and store embeddings, enable semantic search, design enrichment pipelines using LLM APIs, optimize AWS infrastructure, and create reusable services and SDKs for scalable, observable data and AI workflows.