Dreambase
Austin, or Remote (with flexibility for timezone overlap)
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 an AI Engineer, you'll architect the revolution that makes product analytics finally work the way it should have from the beginning. You'll design AI systems that understand your product at every level, from database schemas to user behaviors to code changes, building the intelligence layer that turns what used to require specialized teams and months of complex setup into something any product manager can use intuitively. This isn't just joining a startup; you're leading the technical charge to eliminate the broken status quo and create a fundamentally better way for product teams to understand and optimize their products. What you'll do
Pioneer AI-Native Analytics:
We're setting out to change how analytics are done with AI, not just make iterative improvements Contextual Architecture:
Design systems and platforms for scoping and managing context from multiple data sources AI Agent Development:
Build groundbreaking analytical agentic workflows and autonomous AI agents Application Development:
Design and execute several client interfaces, various APIs, and the application database Performance Optimization:
Optimize for speed, security, reliability, and cost-effectiveness without compromising quality Rapid Iteration:
Constantly adapt to the ever-changing world of developing AI software where things can change daily What we're looking for
Technical Chops:
You've built production-grade AI applications with LLMs, RAG, and vector databases AI Obsession:
You test each model from each provider to stay on top of the strengths, weaknesses, and use case of every LLM Ownership Mindset:
You thrive with ambiguity, move fast, and find ways through walls instead of waiting for doors Full-Stack Skills:
You're seasoned in React, Next.js, TypeScript, Python, Postgres, Supabase, and modern technologies Problem-Solving Superpower:
You can tackle any technical challenge and find elegant solutions in uncharted territory Systems Thinking:
You understand what makes applications scalable and how to build architectures that last Speed and Learning:
You ship fast, learn from what you build, and iterate quickly to make it better Collaborative Spirit:
You communicate clearly and work effectively with both technical and non-technical teammates Experience with fine-tuning LLMs or developing custom AI model architectures Contributions to open-source AI projects or frameworks Experience scaling secure, compliant applications for the enterprise Data Engineer, Data Scientist and/or Data Analyst experience Non-technical product leadership at a startup Tools & tech you're probably already using
The ideal Dream builder is likely already playing with and excited about: LLM Frameworks:
Vercel AI-SDK, LangChain, or similar orchestration tools AI Models:
OpenAI, Anthropic Claude, Gemini, and fine-tuned open-source models Cloud Infrastructure:
Vercel, Cloudflare, AWS, GCP, or Azure with specific focus on AI/ML services Development Tools:
Claude Code, Cursor, or similar AI-augmented coding tools AI Builders:
Vercel's v0, Lovable, Bolt.new, Replit Agents, etc. Web Technologies:
Next.js, React, TypeScript, Shadcn, Tailwind v4 Why join Dreambase
Make Real Impact:
Build AI technology that transforms how real businesses operate Get in Early:
Shape a revolutionary product from its foundations and grow with us Solve Hard Problems:
Work on challenging, intellectually stimulating puzzles at the cutting edge of AI 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 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 something cool you've built with modern LLMs (architecture decisions, challenges you overcame, results you achieved) - Videos go a long way! Your GitHub profile
or code samples that demonstrate your technical prowess A brief note
about why Dreambase excites you and your vision for the future of AI in business operations Email jobsdreambase.ai with the subject line "Let's Start Dreaming - [Your Name]".
#J-18808-Ljbffr
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 an AI Engineer, you'll architect the revolution that makes product analytics finally work the way it should have from the beginning. You'll design AI systems that understand your product at every level, from database schemas to user behaviors to code changes, building the intelligence layer that turns what used to require specialized teams and months of complex setup into something any product manager can use intuitively. This isn't just joining a startup; you're leading the technical charge to eliminate the broken status quo and create a fundamentally better way for product teams to understand and optimize their products. What you'll do
Pioneer AI-Native Analytics:
We're setting out to change how analytics are done with AI, not just make iterative improvements Contextual Architecture:
Design systems and platforms for scoping and managing context from multiple data sources AI Agent Development:
Build groundbreaking analytical agentic workflows and autonomous AI agents Application Development:
Design and execute several client interfaces, various APIs, and the application database Performance Optimization:
Optimize for speed, security, reliability, and cost-effectiveness without compromising quality Rapid Iteration:
Constantly adapt to the ever-changing world of developing AI software where things can change daily What we're looking for
Technical Chops:
You've built production-grade AI applications with LLMs, RAG, and vector databases AI Obsession:
You test each model from each provider to stay on top of the strengths, weaknesses, and use case of every LLM Ownership Mindset:
You thrive with ambiguity, move fast, and find ways through walls instead of waiting for doors Full-Stack Skills:
You're seasoned in React, Next.js, TypeScript, Python, Postgres, Supabase, and modern technologies Problem-Solving Superpower:
You can tackle any technical challenge and find elegant solutions in uncharted territory Systems Thinking:
You understand what makes applications scalable and how to build architectures that last Speed and Learning:
You ship fast, learn from what you build, and iterate quickly to make it better Collaborative Spirit:
You communicate clearly and work effectively with both technical and non-technical teammates Experience with fine-tuning LLMs or developing custom AI model architectures Contributions to open-source AI projects or frameworks Experience scaling secure, compliant applications for the enterprise Data Engineer, Data Scientist and/or Data Analyst experience Non-technical product leadership at a startup Tools & tech you're probably already using
The ideal Dream builder is likely already playing with and excited about: LLM Frameworks:
Vercel AI-SDK, LangChain, or similar orchestration tools AI Models:
OpenAI, Anthropic Claude, Gemini, and fine-tuned open-source models Cloud Infrastructure:
Vercel, Cloudflare, AWS, GCP, or Azure with specific focus on AI/ML services Development Tools:
Claude Code, Cursor, or similar AI-augmented coding tools AI Builders:
Vercel's v0, Lovable, Bolt.new, Replit Agents, etc. Web Technologies:
Next.js, React, TypeScript, Shadcn, Tailwind v4 Why join Dreambase
Make Real Impact:
Build AI technology that transforms how real businesses operate Get in Early:
Shape a revolutionary product from its foundations and grow with us Solve Hard Problems:
Work on challenging, intellectually stimulating puzzles at the cutting edge of AI 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 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 something cool you've built with modern LLMs (architecture decisions, challenges you overcame, results you achieved) - Videos go a long way! Your GitHub profile
or code samples that demonstrate your technical prowess A brief note
about why Dreambase excites you and your vision for the future of AI in business operations Email jobsdreambase.ai with the subject line "Let's Start Dreaming - [Your Name]".
#J-18808-Ljbffr