RevenueBase Inc

RevenueBase: - We're building the data infrastructure that makes AI agents trustworthy instead of error-prone. - We provide continuously refreshed, verified B2B data for autonomous AI agents and GTM workflows. - We've tripled growth while maintaining 100% gross dollar retention and staying cashflow positive. - We power AI agents for Clay, Orbital, Dun & Bradstreet, and the next generation of AI GTM tools. Why We're Hiring This Role: - We've built something customers love. Now we need someone who can find and close more of them. - We have a proven, repeatable sales motion; this hire accelerates our growth and expands our reach. - You'll sell a product that actually works to buyers who've been burned by bad data. It's a refreshingly honest pitch. What You'll Do: - 30 Day: Learn the RevenueBase platform, shadow customer calls, and close your first deal. Understand our ICP, competitive positioning, and what makes customers say yes. - 60 Day: 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. - 90 Day: 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. Who You Are: - You've sold data products before. You understand the space, the objections, and why buyers are skeptical. - You thrive without a playbook. You've built pipelines from scratch at early-stage companies and don't need a BDR army or marketing air cover to hit your number. - You run full-cycle sales, prospecting through close, and take ownership of your deals end to end. - You have partnership sales experience or aptitude. You can navigate the unique motion of selling to companies who will resell our data, understanding their business model, co-selling dynamics, and how to structure win-win deals. - You're a fast learner who can go deep on a technical product and articulate value to both practitioners and executives. - You want to be at a company where your work directly shapes the trajectory of the business. Why RevenueBase: - Product that sells itself: 100% gross dollar retention because the product actually works. You're not apologizing for data quality. - Real ownership: Small team, big impact. Your wins move the company forward, not a dashboard. - Proven traction: Cashflow positive, tripling growth, we have product-market fit and you'll accelerate it. - Founding sales role: First dedicated AE reporting to experienced sales leadership with direct access to CEO (previous company sold to D&B for $125M). Clear path to leadership as we scale. What We Offer: - Real stake: Competitive OTE (50/50 base/variable, uncapped) and meaningful equity as a founding GTM hire. - Comprehensive health coverage: Medical, dental, and vision plans. - Direct impact: Report to sales leadership and work closely with CEO and small team. - Flexible time off: Take what you need. - Remote-friendly: Work from anywhere; Boston/Waltham area preferred but not required.

About RevenueBase We're building the data infrastructure that makes AI agents trustworthy instead of error-prone. We provide continuously refreshed, verified B2B data and tools for humans and autonomous AI agents. We've tripled growth while maintaining 100% gross dollar retention and staying cashflow positive. We power AI agents for Clay, Zoominfo, Dun & Bradstreet, and the next generation of AI GTM tools. About the Role We're hiring a full-time contract Product/UX Designer to own the design of our new web application from the ground up. Our primary users are CTOs and developers; our secondary audience is revenue operations teams. We have working POCs — functional coded prototypes that prove the concept but lack a cohesive product experience. Your job is to take what exists and design the real thing. Step one is building out the core self-serve web app — where users purchase data, make API calls, and integrate our platform into their workflows. Beyond that is a multi-step roadmap you'll help shape. You'll work directly with the CEO and a small engineering team. There are no layers between you and decisions. You'll be the first dedicated design hire, which means you set the patterns, build the system, and own the product experience entirely. This is not a "make it pretty" role. We need someone who can design information architecture for complex data products AND craft the PLG flows that convert, activate, and retain users without a sales team. Someone who knows what a developer cares about on first login and what they'll never click. Why We're Hiring This Role We're launching a new web application with self-serve data purchasing, API access, and freemium onboarding — all built for a technical buyer. Today we have functional POCs but no cohesive product experience. We need a designer who can take what exists and turn it into something a CTO would actually want to use. This is a product-led growth company. The product IS the sales motion. Every screen, every flow, every interaction you design directly impacts conversion and retention. Your First 30 Days You'll start with a design audit of our existing POCs and a deep dive into our data products, user personas, and competitive landscape. By the end of your first month, you'll have mapped the information architecture for the new web app, identified the highest-leverage UX improvements to the existing prototypes, and delivered initial wireframes for the core self-serve flows — signup, data browsing, and purchase. You'll know our product cold, have a clear opinion on what needs to change, and have a design roadmap the team is aligned on. What You'll Do - 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. Who You Are - Infrastructure Product Designer — You've designed for B2B data platforms, developer tools, API products, or technical infrastructure. You know what these products feel like when they're done well and what makes most of them frustrating. - Information Architecture Thinker — You don't just make things look good — you make complex systems navigable. You can take a messy data model and turn it into an interface that feels obvious. - PLG-Native — You've designed freemium flows, self-serve purchase experiences, or developer onboarding. You understand activation metrics and know that the first 5 minutes of a product experience determine everything. - Developer-Empathetic — You've designed for technical users and understand their expectations — fast load times, clean layouts, no unnecessary clicks, clear documentation, and zero hand-holding. You know what CTOs ignore and what earns their trust. - Visually Strong — Your work is clean, modern, and polished. You have strong opinions about typography, spacing, and hierarchy — and it shows in your portfolio. - Self-Directed Operator — You don't need to be managed. You prioritize well, communicate async, and ship without waiting for permission. Nice to Have - Experience at a data infrastructure, API-first, or developer tools company - Familiarity with front-end implementation (HTML/CSS/React) for closer engineering collaboration - Portfolio showing before/after — taking rough or early-stage products and making them great - Experience designing API documentation, data catalogs, or usage dashboards - Figma component library and design system experience Details - Type: Full-time contract, flexible schedule - Location: Remote - Compensation: Competitive hourly rate commensurate with experience - Tools: Figma How to Apply Send your portfolio with 1–2 examples of work on developer-facing, infrastructure, or PLG products. We care more about your thinking process and the problems you solved than pixel-perfect case studies. Why RevenueBase - Greenfield ownership — You're not tweaking an existing product — you're designing a new application from scratch. Every screen, flow, and component will be yours. - Product that matters — We're building data infrastructure that powers the next generation of AI agents. The product you design will be used by engineering and data teams at companies that are shaping the industry. - Inflection point — We're launching our self-serve platform and moving into PLG. The design decisions made in the next 6 months will define the product experience for years. - Direct access — Work directly with the CEO and founding team. No layers, no politics, no design-by-committee.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role exists to strengthen our backend systems, APIs, and cloud infrastructure — ensuring our platform remains fast, scalable, and dependable under increasing data volume and customer demand. - Design, build, and maintain scalable backend services using Python and FastAPI. - Develop and optimize high-performance RESTful APIs powering AI agents and GTM workflows. - Architect and maintain cloud-native infrastructure (compute, storage, networking). - Build reliable data pipelines and services that process, validate, and serve large B2B datasets. - Ensure system scalability, observability, and fault tolerance. - Own backend features end-to-end — from design and implementation to deployment and monitoring. - Collaborate closely with frontend and data engineers to ensure clean API contracts and reliable data flow. - Contribute to architectural decisions, code reviews, and engineering best practices. - Continuously improve performance, security, and maintainability across backend systems. Qualifications - 4+ years of professional backend development experience. - Strong proficiency in Python. - Hands-on experience with FastAPI. - RESTful API design and implementation. - Relational databases (PostgreSQL or similar) and NoSQL Databases (DynamoDB or similar). - Asynchronous programming. - Cloud platforms (AWS, GCP, or Azure). - Experience with containerization and deployment (Docker). - Solid understanding of distributed systems concepts (caching, queues, background jobs). - Comfortable designing scalable systems and optimizing for performance. - Familiar with authentication, authorization, and API security best practices. - Experience working in a fast-moving, remote-first environment. - You take ownership, communicate clearly, and ship production-quality systems. - You care about performance, reliability, and long-term maintainability. Benefits - Competitive compensation based on experience. - Meaningful ownership and long-term growth opportunities. - Flexible working hours. - Fully remote-friendly team. - Direct collaboration with founders and core engineering leadership.

RevenueBase: - We're building the data infrastructure that makes AI agents trustworthy instead of error-prone. - We provide continuously refreshed, verified B2B data for autonomous AI agents and GTM workflows. - We've tripled growth while maintaining 100% gross dollar retention and staying cashflow positive. - We power AI agents for Clay, Zoominfo, Dun & Bradstreet, and the next generation of AI GTM tools. About the Role We are looking for a Senior Data & AI Platform Engineer to build internal tools and services on top of our large-scale data infrastructure. Your primary focus will be developing systems that leverage vector embeddings, LLM APIs, and semantic search to unlock value from structured and unstructured data. This is a hands-on engineering role for someone who enjoys building practical AI-powered tools — not just experiments — and shipping them into production in a fast-moving startup environment. What You’ll Do - 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 Example Projects - Tool to extract a single Snowflake column, generate embeddings, push to Pinecone, and expose a semantic search API - Batch enrichment pipeline that queries records from Snowflake, calls OpenAI APIs for structured enrichment, and writes new columns back - Internal framework for LLM-based data transformation and validation - Query abstraction layer to make AI-enhanced analytics accessible to non-engineering teams Required Qualifications - 5+ years of software engineering experience - Strong backend engineering skills (Python preferred; other modern languages acceptable) - Solid experience with: - AWS (IAM, Lambda, ECS/EKS, S3, networking, security best practices) - Data warehousing (Snowflake preferred) - API design and distributed systems - Hands-on experience working with LLM APIs (e.g., OpenAI) and embedding workflows - Experience with vector databases (Pinecone or similar) - Strong understanding of data modeling, ETL/ELT patterns, and performance optimization - Production experience in at least one startup environment - Ability to operate independently and ship high-impact systems end-to-end Nice to Have - Experience building internal developer platforms or data tooling - Familiarity with prompt engineering and evaluation pipelines - Experience with orchestration frameworks (Airflow, Prefect, Dagster) - Exposure to retrieval-augmented generation (RAG) systems - Infrastructure-as-code experience (Terraform, CDK) - Experience managing large-scale embedding refresh and re-indexing workflows What Success Looks Like - Engineers and analysts can easily leverage AI-powered data enrichment - Embedding-based search works reliably at scale - New AI use cases can be implemented quickly using shared internal tooling - Systems are robust, observable, and cost-efficient Why Join Us? - Work on practical, production-grade AI systems - Direct impact on how data is leveraged across the company - Startup speed with real ownership and autonomy - Opportunity to define the internal AI platform from the ground up

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Our data platform is scaling rapidly, and we need an engineer who can own pipelines end-to-end, keep data quality high, and ensure reliability as we grow. This role exists to strengthen our data infrastructure, accelerate delivery through automation, and ensure our B2B customers receive accurate, timely data they can trust. You'll work on data systems that directly power customer workflows - where pipeline reliability and data quality directly impact retention. - 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. Qualifications - 3+ years of professional data engineering experience. - Strong fundamentals in SQL, data modeling, Python and ETL/ELT principles. - DBT - hands-on experience building and maintaining transformation pipelines. Requirements - Nice to have: Snowflake - Nice to have: Databricks - Nice to have: AWS (S3, Lambda, Glue, etc.) - Nice to have: Prefect or similar orchestration tools (Airflow, Dagster) - Solid understanding of data quality principles, testing strategies, and monitoring practices. - Comfortable working in a fast-moving, remote-first environment. - Strong communicator - able to explain technical issues clearly to both technical and non-technical stakeholders. - Async-first mindset - can work independently, document decisions, and keep stakeholders informed without constant synchronous communication. - End-to-end ownership mentality - you see tasks through from planning to production, handling blockers and follow-through. - You care about data quality, pipeline reliability, and long-term maintainability. Benefits - Competitive compensation based on experience. - Meaningful ownership and long-term growth opportunities. - Flexible working hours. - Fully remote-friendly team. - Direct collaboration with founders and core engineering leadership.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We're hiring a full-time contract Product/UX Designer to own the design of our new web application from the ground up. Our primary users are CTOs and developers; our secondary audience is revenue operations teams. - Take existing POCs and design a polished, production-ready product experience. - Build the core self-serve web app where users purchase data, make API calls, and integrate our platform into their workflows. - Work directly with the CEO and a small engineering team. - Set design patterns, build the system, and own the product experience entirely. - Design information architecture for complex data products and craft PLG flows that convert, activate, and retain users. Qualifications - Experience designing for B2B data platforms, developer tools, API products, or technical infrastructure. - Strong understanding of information architecture and making complex systems navigable. - Experience with freemium flows, self-serve purchase experiences, or developer onboarding. - Empathy for technical users and understanding of their expectations. - Strong visual design skills with a clean, modern portfolio. - Ability to work independently and prioritize effectively. Requirements - Experience at a data infrastructure, API-first, or developer tools company. - Familiarity with front-end implementation (HTML/CSS/React) for closer engineering collaboration. - Portfolio showing before/after examples of product improvements. - Experience designing API documentation, data catalogs, or usage dashboards. - Experience with Figma component library and design systems. Benefits - Greenfield ownership — design a new application from scratch. - Work on a product that powers the next generation of AI agents. - Direct access to the CEO and founding team with no layers or politics. Details - Type: Full-time contract, flexible schedule - Location: Remote - Compensation: Competitive hourly rate commensurate with experience - Tools: Figma How to Apply Send your portfolio with 1–2 examples of work on developer-facing, infrastructure, or PLG products. We care more about your thinking process and the problems you solved than pixel-perfect case studies.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are looking for a Developer Relations Engineer to help us evolve our customer experience from a sales-led motion to a developer-first, product-led engine. - Your primary goal is to remove friction. - Ensure that developers can evaluate RevenueBase, understand our value, and deploy code without needing to schedule a sales call. - Be the bridge between our product and the developer community, focusing on time-to-value and technical transparency. What You'll Do - Drive "Time-to-Value": - Lead the initiative to reduce the developer onboarding time to <5 minutes to "Hello World". - Audit and improve our docs and flows so users can run their first search or API call immediately. - Create "Code-First" Content: - Ensure that every operation and workflow we support has copy-pasteable code snippets available publicly on our website. - Bridge the Infrastructure Gap: - Write foundational guides on how to configure the tools they use with us—specifically Snowflake, S3 buckets, and data warehouses. - Enable Asynchronous Evaluation: - Ensure our documentation is indexed for search and LLM queries. - Advise on creating a highly developer-friendly product trial experience. - Community Trust & Support: - Engage with the developer community by separating technical help from "selling." - Build trust by providing what works and offering technical advice, not upsells. Who You Are - Technical & Hands-on: - Comfortable writing Python and SQL to build the same agents and workflows our customers are building. - Champion of Self-Serve: - Understand that developers hate being sold to and dislike scheduling calls. - Prioritize documentation and product improvements that allow them to self-serve. - Empathetic Educator: - Eager to create content that solves peripheral problems related to our API. - Clear Communicator: - Can explain complex data problems simply. - Motivated Collaborator: - Thrive in high-agency environments where you ship daily and collaborate directly with Engineering and Sales. - Trail Blazer: - Genuinely excited about AI agents and want to help developers build reliable autonomous systems. Why RevenueBase - Frontier impact: - Define the data infrastructure patterns for autonomous AI agents as they move from prototype to production. - Proven traction: - Cashflow positive, 100% retention, tripling growth. - Technical depth: - Real problems without Stack Overflow answers—debugging agent loops, architecting data flows for continuous AI. - Founding role: - First DevRel hire with clear path to leadership as we scale from supporting dozens to thousands of AI developers. What We Offer - Real stake: - Competitive salary and meaningful equity as a founding technical hire. - Comprehensive health coverage: - Medical, dental, and vision plans. - Direct impact: - Work directly with CEO (previous company sold to D&B for $125M), and small team. - Flexible time off: - Take what you need.