RevenueBase

Platform Engineer

• Design and build data-driven tools that operate on large datasets stored in S3 and Snowflake
• Implement pipelines that:
• Extract specific columns or datasets from Snowflake
• Generate vector embeddings via APIs such as OpenAI
• Store and manage embeddings in vector databases like Pinecone
• Enable semantic search and similarity-based retrieval
• Develop enrichment workflows that:
• Query structured data
• Use LLM APIs to generate new derived columns
• Write enriched results back into Snowflake
• Build reusable internal services and SDKs around embedding generation, prompt orchestration, and data augmentation
• Optimize performance and cost across AWS infrastructure
• Work closely with product and data teams to turn use cases into scalable engineering solutions
• Ensure reliability, observability, and maintainability of AI-powered pipelines

Senior Data & AI Platform Engineer, AWS, Snowflake, Vector Search

Account Executive

• Learn the RevenueBase platform, shadow customer calls, and close your first deal. Understand our ICP, competitive positioning, and what makes customers say yes.
• Own your full pipeline: prospecting, demos, negotiations, and closes. Identify repeatable patterns in what's working and feed insights back to product and marketing. Begin engaging with partnership opportunities.
• Hit quota, expand existing accounts, and contribute to the sales playbook. Actively work partnership deals; building pipeline and closing reseller agreements with companies who distribute RevenueBase data.

Data Engineer

• Build and maintain production-ready data pipelines using DBT, Snowflake, and modern orchestration tools.
• Own data engineering features end-to-end, from implementation through optimization and deployment.
• Fix and improve existing pipelines - identify bottlenecks, resolve issues, and enhance performance.
• Drive automation initiatives across the data stack to accelerate delivery and reduce manual interventions.
• Provide 2nd line support for B2B customers - investigate data issues, clarify edge cases, and ensure customers can trust their data.
• Design and implement new data import pipelines as we expand our data source coverage.
• Implement data quality improvements - validation, monitoring, and testing to ensure reliable, accurate data delivery.
• Contribute to code reviews, architectural discussions, and data engineering best practices.

Infrastructure Engineer

• Architect Distributed Stealth Systems: Design and deploy horizontally scalable scraping nodes (Go or Python/Asyncio) on AWS Lambda/Fargate or Kubernetes to maintain massive throughput.
• Hidden API Discovery: Use Charles Proxy, Fiddler, or Burp Suite to map out undocumented internal APIs and mobile backend endpoints—finding the "backdoor" pathways that bypass heavy front-end obfuscation.
• Fingerprint Evasion: Implement advanced techniques to bypass enterprise-grade bot detection, specifically focusing on TLS fingerprinting (JA3), HTTP/2 headers, and browser fingerprinting evasion.
• Orchestrate Massive Infrastructure: Manage large-scale residential and mobile proxy pools to ensure a sustained rate of 1M+ requests per hour while optimizing for cost and success rate.
• Build for Resilience: Develop real-time monitoring to track success rates and "burn" rates of proxy infrastructure, ensuring the system can recover automatically when targets update their defenses.

Senior Adversarial Infrastructure Engineer

Developer Relations

• Lead the initiative to reduce developer onboarding time to <5 minutes.
• Ensure operational and workflow support with copy-pasteable code snippets.
• Write foundational guides for customers configuring tools like Snowflake and S3.
• Ensure documentation is indexed for search and LLM queries.

Developer Relations Engineer – Advocate

Full-stack Engineer

• Build and maintain high-quality, production-ready web interfaces using React and Next.js.
• Own frontend features end-to-end, from implementation through optimization and release.
• Translate complex data workflows into intuitive, performant, and responsive user experiences.
• Work closely with backend engineers to integrate APIs and ensure reliable data flow.
• Contribute to code reviews, architectural discussions, and engineering best practices.
• Continuously improve performance, reliability, and maintainability across the web platform.
• Help raise the overall engineering bar as the product and team scale.

Full Stack Developer

Product Designer

• Design the New Web App End-to-End — Take our existing POCs and shape them into a polished, production-ready product experience. Onboarding, data browsing, self-serve purchasing, API key management, usage dashboards — you own all of it.
• Build the Information Architecture — Organize complex data products so technical users find what they need fast. Our platform has multiple data types, delivery methods, and pricing models. Make it feel simple.
• Design PLG & Developer Flows — Signup, activation, freemium-to-paid conversion, self-serve purchasing, and API onboarding. You understand what makes a developer try something for 5 more minutes vs. bounce.
• Prioritize Ruthlessly — Know what matters to CTOs and engineers and cut what doesn't. Developers hate clutter, unnecessary steps, and marketing fluff in product UI. Design accordingly.
• Design for Dual Personas — The primary user is technical (CTOs, developers, data engineers). The secondary user is revenue operations. Build experiences that serve both without diluting either.
• Collaborate on the Roadmap — Work with product and engineering to translate a multi-phase roadmap into tangible design milestones. Balance speed with quality as we ship iteratively.