About Dreambase 💭

We're completely reimagining product analytics by flipping the entire industry approach upside down. While everyone else forces you through the painful dance of data extraction, transformation, expensive tooling, and armies of data engineers just to understand your users, we start where your data already lives: your Postgres product database. From there, we build up and out, connecting database records to event streams to behavioral patterns to research insights to your actual codebase in one unified system that eliminates the traditional pipeline nightmare and puts real product intelligence directly in your hands.

Your mission

As our Founding AI Infrastructure Architect, you'll build the unbreakable foundation that makes our AI-native analytics revolution possible at enterprise scale. You'll architect data systems that seamlessly handle everything from a startup's first thousand events to enterprises processing billions of records, designing the infrastructure that keeps customer data secure and compliant while delivering lightning-fast insights. This isn't just backend work, you're engineering the critical systems that let us deliver on our promise to eliminate the analytics nightmare, building infrastructure so robust and intelligent that it makes the impossible feel effortless.

What you'll do

• Architect for Scale: Design and build database systems that gracefully scale from gigabytes to petabytes while maintaining sub-second query performance

• Secure the Foundation: Implement enterprise-grade security, compliance frameworks (SOC 2, GDPR, HIPAA), and data governance that customers can trust with their most sensitive data

• Master the Data Stack: Build sophisticated data infrastructure leveraging Postgres optimization, DuckDB for analytics workloads, Apache Iceberg for data lakes, and S3 for scalable storage

• Stream at Speed: Design and implement real-time event streaming pipelines that capture millions of user interactions per second with zero data loss

• Own the Backend: Architect APIs, authentication systems, and database layers using Supabase, including RLS policies, performance tuning, indexing strategies, and storage optimization

• Build AI-Native Infrastructure: Create MCP (Model Context Protocol) servers and Streamable HTTP endpoints that enable seamless AI-to-data communication

• Optimize Relentlessly: Monitor, profile, and optimize every layer of the stack for performance, cost-efficiency, and reliability at scale

• Pioneer Standards: Establish infrastructure patterns and best practices as we grow from startup to enterprise platform

What we're looking for

• Infrastructure Mastery: You've built and scaled backend systems that handle massive data volumes in production environments

• Database Wizard: Deep expertise in Postgres optimization, indexing, query planning, and scaling strategies; bonus for DuckDB and SQLite experience

• Security-First Mindset: You understand data security, compliance requirements, and how to build systems that meet enterprise standards

• Supabase Expert: You know Supabase inside and out: auth, storage, RLS, Edge Functions, real-time subscriptions, and performance optimization

• API Architect: You design clean, efficient REST APIs and understand HTTP at a deep level

• Data Pipeline Guru: Experience building event streaming systems and analytics pipelines that reliably process high-volume data

• Cloud Native: Hands-on experience with Vercel & Cloudflare hosting, Supabase backend, AWS (especially S3), data lake technologies like Apache Iceberg, and modern cloud infrastructure

• AI Infrastructure Savvy: You understand what AI applications need from their infrastructure and how to build backends that support LLM-powered features

• Full-Stack Capable: Comfortable with Node.js, TypeScript, React, and Next.js to collaborate effectively across the stack

• Problem-Solving Machine: You debug complex distributed systems issues and architect elegant solutions to gnarly infrastructure challenges

• Ship Fast, Scale Smart: You balance rapid iteration with building foundations that won't need complete rewrites at scale

Bonus points for

• Experience with Databricks and/or Snowflake in production environments

• Previous work scaling analytics platforms or data-intensive applications to enterprise customers

• Contributions to open-source database, infrastructure, or data tools

• Experience with real-time analytics systems or OLAP databases

• Background as a Data Engineer, Data Scientist, or Analytics Engineer

• Previous infrastructure leadership at a high-growth startup

• Deep knowledge of data warehouse architecture and query optimization

Tools & tech you're probably already using

The ideal Dream builder is likely already playing with and excited about:

• Databases & Storage: Postgres, DuckDB, SQLite, Supabase, S3, Apache Iceberg

• Server & Serverless: Node.js, Next.js API routes, REST, HTTP, Vercel/Supabase Edge Functions

• Event Streaming: Real-time analytics pipelines, event ingestion systems, streaming data architectures

• AI Context (Awareness): Vercel AI-SDK, OpenAI/Anthropic/Gemini APIs, RAG pipelines

• AI Infrastructure: MCP (Model Context Protocol) servers, Streamable HTTP, LLM-optimized backends

• Cloud & DevOps: Vercel, Cloudflare, AWS, GCP, or Azure; Infrastructure as Code; monitoring and observability tools

• Security & Compliance: RLS policies, encryption, SOC 2 requirements, GDPR compliance frameworks

• Development Tools: Claude Code, Cursor, or similar AI-augmented coding tools

• Data Platforms: Databricks, Snowflake, or similar enterprise data platforms (bonus)

Why join Dreambase 💭

• Make Real Impact: Build infrastructure that powers how thousands of businesses understand their products

• Get in Early: Architect the foundation of a revolutionary platform and grow with us

• Solve Hard Problems: Tackle complex infrastructure challenges at the intersection of AI, analytics, and scale

• Join an Amazing Team: Learn and grow alongside passionate, brilliant colleagues who love what they do

• Work How You Work Best: Remote-first culture focused on results, not hours spent at a desk

• Get Rewarded: Competitive salary and equity that reflects your founding role in our success

How to apply

Show us what you can do! Rather than a resume, we'd love to see:

• A case study of infrastructure you've built and scaled (architecture decisions, scaling challenges you solved, performance improvements you achieved) - Videos go a long way!

• Your GitHub profile or code samples that demonstrate your infrastructure and backend expertise

• A technical deep-dive on a database optimization, scaling challenge, or infrastructure problem you've solved

• A brief note about why Dreambase excites you and your vision for the future of AI-native infrastructure

Email jobs<at>dreambase.ai with the subject line "Let's Build the Foundation - [Your Name]"