About the role
structured by ORIABOUT PEEC AI Peec AI is the analytics platform for AI search. People increasingly discover products and make buying decisions through ChatGPT, Claude, Gemini, and Google's AI Overviews instead of traditional search, and most brands have no idea where they show up in those answers.
What you will do
- Train, test, and ship models that power Peec AI’s recommendations - helping customers boost their visibility in AI search
- Develop algorithms that extract actionable insights from AI search behavior, creating data-driven recommendations that help brands increase their AI Search visibility
- Own the full model lifecycle from experimentation to production deployment, working closely with engineering to integrate ML solutions into our systems
- Design and implement data pipelines to ingest, process, and analyze large volumes of data
What they are looking for
- Proven backend development skills in Python with experience building APIs, data pipelines, or ML infrastructure, and familiarity with tools like FastAPI, Docker, and cloud platforms (preferably GCP)
- Deep curiosity about how LLMs work, with the ability to reverse-engineer AI search behavior and translate patterns into actionable product features
- Track record of taking projects from research to production in a fast-moving startup environment, with strong problem-solving skills and comfort working with ambiguous, evolving problems
- Excellent communication skills with the ability to explain complex technical concepts to customers and stakeholders
Nice to have
- Contributions to open-source projects
- Deployed side/hobby projects that we can check out
- Presented research papers at top ML or AI conferences
- Having started a company before or worked at a high-growth startup
- Fluency in Typescript
Benefits
- Exciting and challenging work with real impact and ownership at one of Europe’s fastest-growing Series A startups
- Regular team events and off-sites
- Aggressive equity compensation package
- Paid Dinner & Uber home when working late
- The most beautiful office space and work environment in Berlin
Full posting text
ABOUT PEEC AI
Peec AI is the analytics platform for AI search. People increasingly discover products and make buying decisions through ChatGPT, Claude, Gemini, and Google's AI Overviews instead of traditional search, and most brands have no idea where they show up in those answers. Peec gives marketing, SEO, and growth teams the data to see exactly that: how visible their brand is across AI platforms, how they compare to competitors, and where to win.
We are defining this category, and the market is moving with us. Peec is a Series A company backed by 20VC and Singular, that went from $0 to $15M ARR in 18 months, with a 100+ person team across our Berlin HQ and our New York office.
WHAT YOU’LL DO
- Train, test, and ship models that power Peec AI’s recommendations - helping customers boost their visibility in AI search
- Develop algorithms that extract actionable insights from AI search behavior, creating data-driven recommendations that help brands increase their AI Search visibility
- Own the full model lifecycle from experimentation to production deployment, working closely with engineering to integrate ML solutions into our systems
- Design and implement data pipelines to ingest, process, and analyze large volumes of data
WHAT WE’RE LOOKING FOR
- Proven backend development skills in Python with experience building APIs, data pipelines, or ML infrastructure, and familiarity with tools like FastAPI, Docker, and cloud platforms (preferably GCP)
- Deep curiosity about how LLMs work, with the ability to reverse-engineer AI search behavior and translate patterns into actionable product features
- Track record of taking projects from research to production in a fast-moving startup environment, with strong problem-solving skills and comfort working with ambiguous, evolving problems
- Excellent communication skills with the ability to explain complex technical concepts to customers and stakeholders
OUR DATA SCIENCE STACK
- Languages: Python, SQL
- Libraries: Pandas, NumPy, HuggingFace, PyTorch, TensorFlow, ONNX
- Backend: GCP, Cloud Functions, Firestore, Postgres, AlloyDB, BigQuery
- AI Models: OpenAI, Claude, Perplexity, Gemini, Llama, etc.
BONUS POINTS
- Contributions to open-source projects
- Deployed side/hobby projects that we can check out
- Presented research papers at top ML or AI conferences
- Having started a company before or worked at a high-growth startup
- Fluency in Typescript
WHAT WE OFFER
- Exciting and challenging work with real impact and ownership at one of Europe’s fastest-growing Series A startups
- Regular team events and off-sites
- Aggressive equity compensation package
- Paid Dinner & Uber home when working late
- The most beautiful office space and work environment in Berlin