About the Role
About Peec AI
AI search is changing how brands are discovered and chosen. People now ask ChatGPT, Gemini, Claude and Google’s AI answers what they used to search for, and AI assistants increasingly shape the journey from discovery to purchase. Winning customers now means winning over the AI systems that influence their decisions.
Peec AI is an AI search platform that helps marketing teams understand and improve how their brands are discovered, represented, and recommended. We show them where they stand, what’s shaping it, and where to act. Since launching in January 2025, Peec AI has passed $20M ARR and 4,000 paying customers. We’re a Series A company backed by 20VC and Singular, with 100+ people across our Berlin HQ and our New York office.
The role
Almost everything Peec shows a customer passes through a model at some point. We track brands, products, sentiment, citations and sources across millions of AI answers. Those answers change whenever a provider ships a new model and differ by country, language and prompt. Turning that into numbers customers can trust and act on is the core data science problem at Peec.
Our data science team has grown fast, with AI-powered features shipping across the product. We're now growing the team further and need someone to lead it. You'll turn a group of strong individual contributors into a high-powered, fast-shipping team. You'll report directly to the CTO and lead a team of 7 data scientists.
What you'll do
Leading people
•
Hire, onboard and grow the data science team. We're hiring several data scientists right now, and you'll shape who joins and how they ramp up.
•
Build a team culture that matches our values: a high bar for quality, full ownership of outcomes, and kindness towards each other
•
Lead and inspire the team through regular 1:1s, actionable feedback and clear career paths
Leading the technical work
•
Set the technical direction and roadmap for data science, together with product and engineering leadership, and decide what the team works on and what it doesn't
•
Own quality in production with strong operational excellence and reproducibility across the ML lifecycle
•
Drive innovation by investing in scalable machine learning data infrastructure
•
Stay close to the work: review designs and code, and step in hands-on when it matters
•
Represent data science to leadership and customers
What we're looking for
•
8+ years in data science or machine learning, including 3+ years managing data scientists or ML engineers as direct reports, ideally at a high-growth startup or an established tech company
•
A track record of building great teams: hiring well, developing people, and creating the standards and rituals that make a team more than the sum of its individuals
•
Experience taking ML products from research to production, and building the practices that keep them reliable: evaluation, monitoring, reproducibility
•
A solid understanding of LLMs and strong instincts for measurement and statistics when outputs are noisy
•
Strong technical depth to review architecture and modeling decisions, ideally in cloud-native environments (GCP a plus)
•
Clear communication with executives, engineers and customers, including being honest about uncertainty
•
Good judgment under ambiguity, and the ownership to deliver outcomes despite blockers
Our stack
A standard Python and SQL stack on GCP. We work with all the major LLM providers (OpenAI, Anthropic, Google, Perplexity) as well as open-weight models.
Bonus points
•
Contributions to open-source projects or ML tooling
•
Public side or research projects that show technical depth
•
Publications or talks at ML or AI conferences
•
Founder experience or senior technical leadership at a high-growth startup
What we offer
•
A defining leadership role 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
Compensation: €120K – €160K • Offers Equity
• • €120K – €160K • Offers Equity
Find more English Speaking Jobs in Germany on Arbeitnow
Requirements
Qualifications
- Experience: 10+ Years
Skills & Languages
analytics Market & Role Insights
trending_up In-Demand Companion Skills
Co-occurring in similar rolesAcross active Engineering, Marketing, Technical positions on Jobsfiy, these complementary skills appear most frequently:
Tip: Highlighting these companion skills in your resume can increase your match score during applicant screening.
payments Estimated Market Compensation
100 comparable listingsMarket Median: ₹34,500. Range reflects the 25th to 75th percentile of similar active roles on Jobsfiy.
speed Category Snapshot: Engineering
Active Category Roles
1,222+
Remote Flexibility
3% Remote
Target Experience
Senior
Education Details
Minimum Education
Master Degree
Accepted Degrees
LLM
Benefits & Perks
- Equity compensation
How to Stand Out When Applying for Head of Data Science
Applying for the Head of Data Science position at Peec AI in Berlin? Before submitting your application on Jobsfiy, review the key qualifications, core skills, and experience expectations listed above to ensure your profile highlights relevant achievements and measurable outcomes.
Recruiters and Applicant Tracking Systems (ATS) prioritize candidates whose resumes clearly align with the role's primary technical and functional competencies. You can use Jobsfiy's built-in Apply with AI Resume tool to tailor your resume summary and skill keywords specifically for this job opening, or run a free check on our ATS Testing System to verify your resume match score.
Once you submit your application, prepare for recruiter screening and technical rounds using Jobsfiy's AI Mock Interview simulator, which generates role-specific interview questions and instant feedback based on the Head of Data Science job description.