Principal AI/ML Scientist – Engineer
Pipedrive
full-time
Posted on:
Location Type: Hybrid
Location: Berlin • Germany
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Job Level
About the role
- Lead and mentor a team of Applied Scientists and AI/ML Engineers, fostering a culture of technical excellence and scientific rigor
- Lead the technical strategy for AI/ML-based solutions focused on extracting actionable value and insights from both structured CRM data and unstructured content
- Build the intelligence within our AI-native CRM, including the design of autonomous agentic workflows and real-time reasoning engines that execute business actions safely at scale
- Partner closely with the AI Platform team to drive the overarching strategy for large language model operations (LLMOps), ensuring infrastructure supports efficient experimentation and robust deployment
- Apply deep scientific intuition to the design of AI systems, ensuring that models and data-intensive solutions are optimized for customer centricity and real-world performance
- Act as a technical authority and multiplier across the AI/ML and data ecosystem, shaping the AI engineering roadmap and setting the bar for how we leverage the modern AI stack
- Lead as a high-impact individual contributor on our most critical systems, balancing a deep love for building with the ability to delegate effectively and grow the team’s technical capabilities
Requirements
- 8+ years of applied science or engineering experience with a broad, practical understanding of the full ML and AI lifecycle in high-scale production environments
- Proven ability to lead and scale a technical team, with experience mentoring senior talent and raising the technical bar of an organization
- Deep expertise in modern AI engineering concepts and tech stacks, with hands-on experience in agentic system orchestration (e.g., LangGraph), RAG architectures, and vector databases
- You are a deep scientist by training but a builder by choice; you prioritize shipping working, iterative solutions that solve real customer problems over chasing theoretical perfection
- Proven track record of delivering customer and business value through simple and complex AI/ML-based solutions at scale
- Broad exposure to ML, Deep Learning, and AI; you understand the practical trade-offs between different models and agentic frameworks
- Excellent product sense and business awareness, with the ability to translate technical and scientific choices into tangible improvements for our users
- Ability to lead through influence and technical authority, partnering with platform teams to influence strategy and raise the collective technical bar
- Solid understanding of cloud infrastructure (AWS/GCP), distributed systems, container orchestration, data engineering (batch pipeline, feature store, Kafka)
Benefits
- People-first culture - Be part of a team that values authenticity, champions collaboration, and supports each other—no egos, just teamwork. Work alongside top talent from around the world in an inclusive space where different perspectives fuel our best ideas. Everyone is welcome
- Unlock potential – Push boundaries, take ownership, and experiment with the latest technologies as we enhance our AI First Vision. We empower bold ideas that drive real change
- We’ve got you – Your well-being matters. Enjoy flexible hours, wellness perks and SWAG. Think performance-based bonuses, 28 paid leave days, well-being days, compassionate leave, and even pawternal leave—because we take care of ourselves and our people
- Grow with us – Whether through mentorship, coaching, or internal mobility, we invest in helping you unlock your potential. Open, honest feedback and clear communication are at our core. We grow together through trust and accountability
- Packed with purpose – Help 100,000+ small and medium-sized businesses grow and succeed while doing meaningful, customer-driven work
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI engineeringmachine learningdeep learningagentic system orchestrationRAG architecturesvector databasesdata engineeringcloud infrastructuredistributed systemsiterative solutions
Soft Skills
leadershipmentoringtechnical authorityinfluenceproduct sensebusiness awarenessteam buildingcommunicationcollaborationcustomer centricity