At a Glance
- Tasks: Lead a team of AI/ML experts to create impactful data products.
- Company: Join Pipedrive, a people-first tech company that values collaboration and innovation.
- Benefits: Enjoy flexible hours, wellness perks, 28 paid leave days, and performance-based bonuses.
- Why this job: Make a real difference for 100,000+ businesses while working with cutting-edge AI technologies.
- Qualifications: 8+ years in AI/ML, proven leadership skills, and deep technical expertise.
- Other info: Inclusive culture that champions diverse perspectives and personal growth.
The predicted salary is between 80000 - 100000 ÂŁ per year.
We are looking for a Principal AI/ML Scientist & Engineer to lead a growing team of Applied Scientists and AI/ML Engineers. This is a role for a pragmatic “Builder‑Scientist” – a technical leader who possesses deep scientific rigor but is fundamentally driven by the iterative shipping of data products that customers fall in love with. You will lead the technical strategy for AI/ML‑based solutions designed to extract value from both structured and unstructured data, bridging the gap between advanced research and production‑grade systems. Your impact will be measured through technical leadership, leverage, and the real‑world business outcomes you enable.
Your new adventure:
- 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.
Does this sound like you?
- 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).
Why Pipedrive?
- 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.
Pipedrive is an equal opportunity employer. We encourage diversity in the workplace regardless of age, gender, race, religion, disability, sexual orientation, gender identity or veteran status.
Principal AI/ML Scientist & Engineer employer: Rival
Contact Detail:
Rival Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal AI/ML Scientist & Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI/ML field and let them know you're on the lookout for opportunities. A personal recommendation can go a long way in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those that highlight your experience with AI/ML solutions. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your past experiences and how they relate to the role. Practice makes perfect, so consider mock interviews with friends or mentors.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it gives you a better chance to stand out in the application process.
We think you need these skills to ace Principal AI/ML Scientist & Engineer
Some tips for your application 🫡
Show Your Passion for AI/ML: When writing your application, let your enthusiasm for AI and machine learning shine through. We want to see how your experiences and projects reflect a genuine love for building innovative solutions that make a difference.
Tailor Your Experience: Make sure to highlight your relevant experience in AI/ML and leadership roles. We’re looking for someone who can bridge the gap between research and production, so be specific about how you've done this in your past roles.
Be Clear and Concise: While we appreciate detail, clarity is key! Use straightforward language to describe your achievements and technical skills. This helps us quickly understand your fit for the role without getting lost in jargon.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, we love seeing candidates take that extra step!
How to prepare for a job interview at Rival
✨Know Your AI/ML Stuff
Make sure you brush up on the latest trends and technologies in AI and ML. Be ready to discuss your hands-on experience with agentic systems, RAG architectures, and vector databases. This role is all about practical application, so be prepared to share specific examples of how you've delivered real customer value through your work.
✨Showcase Your Leadership Skills
Since this position involves leading a team, think about your past experiences mentoring others and raising the technical bar. Prepare anecdotes that highlight your ability to influence and inspire a team, as well as how you've successfully partnered with other teams to drive strategy.
✨Demonstrate Your Pragmatic Approach
This role values a 'Builder-Scientist' mindset, so be ready to talk about how you prioritise shipping iterative solutions over theoretical perfection. Share examples of projects where you balanced deep scientific rigor with practical implementation to solve real-world problems.
✨Understand the Business Impact
Be prepared to discuss how your technical decisions translate into tangible improvements for users and the business. Familiarise yourself with the company's mission and think about how your expertise can help small and medium-sized businesses grow. This will show that you're not just technically savvy but also business-minded.