Technical Product Manager, AI/ML Platform
Estonia, Tallinn
Pipedrive
Pipedrive is the easy-to-use, #1 user-rated CRM tool. Get more qualified leads and grow your business with our sales CRM. Sign up for a 14-day free trial.
We believe it takes great people to create a great product. That’s why our team lives our company values, and we hire based on them, too. Since 2010, Pipedrive has been on a mission to support sales and marketing teams with easy-to-use, powerful tools that make everyday work faster and easier. Today, our cloud-based software is trusted by over 100,000 companies and used in 179 countries. We have grown from a five-person team to a truly international company of over 850+ people, representing more than 50 nationalities, with ten offices distributed across Europe and the US. In 2020, Pipedrive received a majority investment from Vista Equity Partners, a global investment firm that invests exclusively in enterprise software, data, and technology-enabled businesses, making Pipedrive the fifth unicorn from Estonia.
Join us as an AI/ML platform technical product manager at Pipedrive. In this role, you’ll manage the roadmap for Pipedrive’s technical AI/ML platform, taking the lead on cross-functional initiatives that enhance AI/ML developer experience, efficiency, reliability, and security.
This is your chance to make a significant impact by translating AI and data-related engineering challenges into actionable plans, prioritizing initiatives, and collaborating closely with various teams to drive the successful execution of Pipedrive’s AI-first vision for business and product.
Join us as an AI/ML platform technical product manager at Pipedrive. In this role, you’ll manage the roadmap for Pipedrive’s technical AI/ML platform, taking the lead on cross-functional initiatives that enhance AI/ML developer experience, efficiency, reliability, and security.
This is your chance to make a significant impact by translating AI and data-related engineering challenges into actionable plans, prioritizing initiatives, and collaborating closely with various teams to drive the successful execution of Pipedrive’s AI-first vision for business and product.
Your new adventure:
- Identify and address key challenges from stakeholders (ML developers, product engineers, product managers), transforming them into actionable roadmaps for AI/ML platform development
- Collaborate with stakeholders and engineering counterparts to define primary use cases for the platform and ensure it meets the needs of internal teams
- Validate and prioritize ideas, converting them into structured missions/initiatives aligned with business objectives and technical feasibility
- Assess and manage resource requirements, including development time, infrastructure costs, and operational expenses to optimize efficiency
- Lead cross-functional initiatives to implement and scale AI/ML platform capabilities, working with initiative leaders to define high-level plans, facilitate decision-making, and drive execution
- Measure, predict, and optimize platform impact, focusing on performance, reliability, observability, and developer productivity
- Write technical requirements and integration guides to facilitate seamless adoption of the AI/ML platform across teams
- Facilitate platform onboarding, gather feedback, and promote platform adoption to ensure engineering teams can efficiently leverage AI/ML capabilities
- Ensure governance and compliance, collaborating with architecture, security, and compliance teams to uphold best practices and regulatory requirements
- Report to the Director of Data Engineering, working closely with Product, Data, and ML principal developers to align AI/ML platform initiatives with broader company and product goals, as well as technical implementation and integration aspects
Does this sound like you?
- Proven experience (minimum 7 years) as a technical product manager or lead developer in a cross-functional engineering environment
- Strong technical background with a solid understanding of AI/ML workflows, MLOps, and cloud-based machine learning infrastructure
- Experience working with engineering teams in a fast-paced, agile, and hybrid environment
- Excellent stakeholder management and communication skills, with the ability to align diverse teams around a shared vision
- Data-driven mindset, using metrics and insights for objective decision-making
- Familiarity with AI/ML lifecycle management, model deployment, monitoring, and governance
- Strong proficiency in understanding software architecture and hands-on programming experience is a strong plus
- Experience with AWS, GCP, or Azure is also a strong plus
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.
Based on this role’s access to certain data, Pipedrive may conduct a pre-employment background investigation in conjunction with your application for employment with our company. Data from such investigations will be handled in accordance with Pipedrive’s Privacy Policy for Recruitment.
#LI-Hybrid#LI-MM1
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Job stats:
0
0
0
Tags: Agile Architecture AWS Azure Engineering GCP Machine Learning ML infrastructure MLOps Model deployment Privacy Security
Perks/benefits: Career development Equity / stock options Flex hours Salary bonus Wellness
Region:
Europe
Country:
Estonia
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.
Data Scientist II jobsSr. Data Engineer jobsPrincipal Data Engineer jobsStaff Data Scientist jobsBI Developer jobsStaff Machine Learning Engineer jobsData Manager jobsSenior AI Engineer jobsData Science Intern jobsJunior Data Analyst jobsBusiness Data Analyst jobsResearch Scientist jobsData Science Manager jobsPrincipal Software Engineer jobsData Specialist jobsSoftware Engineer II jobsData Analyst Intern jobsLead Data Analyst jobsSr. Data Scientist jobsData Engineer III jobsDevOps Engineer jobsJunior Data Engineer jobsBI Analyst jobsAI/ML Engineer jobsSoftware Engineer, Machine Learning jobs
Snowflake jobsEconomics jobsLinux jobsOpen Source jobsData Warehousing jobsKafka jobsNoSQL jobsHadoop jobsAirflow jobsMLOps jobsRDBMS jobsComputer Vision jobsJavaScript jobsBanking jobsGoogle Cloud jobsPhysics jobsKPIs jobsScala jobsClassification jobsLooker jobsScikit-learn jobsData warehouse jobsPostgreSQL jobsOracle jobsTerraform jobs
GitHub jobsStreaming jobsSAS jobsScrum jobsR&D jobsPySpark jobsPandas jobsCX jobsBigQuery jobsDistributed Systems jobsData Mining jobsJira jobsRobotics jobsdbt jobsIndustrial jobsMicroservices jobsReact jobsRedshift jobsJenkins jobsUnstructured data jobsData strategy jobsRAG jobsNumPy jobsMySQL jobsELT jobs