Senior Product Manager

About the role

3Pillar Global is seeking a highly experienced Senior Product Manager to join our international product management team and support mission-critical engagements for US-based clients. In this role, you will oversee the entire lifecycle of AI-native products, acting as a strategic consultant to help enterprises modernize their business operations through innovative technology solutions. Your responsibilities will include translating complex technical requirements into high-value software products, collaborating closely with global engineering and delivery teams, and ensuring the successful execution of product strategies. This position offers an exciting opportunity to work on cutting-edge AI projects, particularly in the realm of Generative AI, and to influence how large organizations leverage AI to achieve their business goals.

Key facts

What you'll do

• Manage the product backlog, prioritizing features and enhancements based on business needs and technical feasibility.
• Coordinate delivery cycles with business objectives through Program Increment (PI) planning and review processes, ensuring alignment across teams.
• Collaborate with Data Science and AI Engineering teams to validate Generative AI models, including large language models (LLMs), and define practical, real-world use cases for clients.
• Develop and own the product roadmap for complex modules such as personalization engines, forecasting tools, and audience targeting systems, ensuring they meet client requirements and strategic goals.
• Lead cross-functional efforts across distributed teams located in the US, LATAM, India, Canada, and Romania, fostering effective communication and collaboration.
• Work closely with UX designers to build conversational AI interfaces and decision-support tools that enhance user engagement and adoption.
• Act as a trusted consultant for clients, explaining technical AI capabilities and limitations in terms of tangible business value and strategic impact.
• Track product performance metrics, model accuracy, and user feedback to identify areas for improvement and guide iterative development.
• Support the integration of AI models into client solutions, ensuring alignment with enterprise standards and client expectations.
• Facilitate communication between technical teams and stakeholders, translating complex technical concepts into clear, actionable insights.
• Ensure that product development adheres to project timelines, quality standards, and compliance requirements.
• Stay informed about the latest advancements in AI, especially Generative AI, and incorporate relevant innovations into product strategies.
• Assist in defining best practices for AI model safety, human-in-the-loop processes, and model governance to ensure responsible AI deployment.
• Contribute to the continuous improvement of product management processes within the organization, sharing knowledge and fostering best practices.
• Support business development efforts by providing technical expertise during client presentations and proposals.
• Participate in industry forums and professional networks to stay ahead of emerging trends in AI and product management.

Requirements

• Minimum of 5 years of experience in product management, with a focus on B2B SaaS, AI, or data-heavy environments.
• Deep domain knowledge in at least one of the following areas: Retail Media Networks, FMCG, Trade Promotion Management, AdTech, MarTech, Customer Data Platforms, or B2B supply chain software.
• Practical experience working with Generative AI in production environments, including designing and managing LLM workflows, prompt interfaces, and human-in-the-loop safety mechanisms.
• Strong data analysis skills, with the ability to interpret predictive models, complex algorithms, and performance metrics.
• Proven track record of advising senior stakeholders and managing projects within ambiguous and complex enterprise environments.
• Proficiency in Agile and Scrum methodologies, with experience working in global, distributed teams.
• Excellent communication skills, capable of translating technical concepts into business language for diverse audiences.
• Ability to prioritize tasks effectively and manage multiple projects simultaneously in a fast-paced setting.
• Familiarity with AI safety, model governance, and responsible AI practices is a plus.
• Experience working with international teams and clients is preferred.
• Knowledge of data privacy regulations such as GDPR and experience with Data Clean Rooms is advantageous.
• Strong problem-solving skills and a proactive approach to overcoming challenges.

Nice to have

• Experience managing AI token consumption and implementing LLM guardrails to ensure safe and cost-effective AI deployment.
• Prior experience working in a consulting or agency capacity embedded within client organizations, providing tailored AI solutions.
• Familiarity with AI model deployment best practices, including model versioning, monitoring, and updating.
• Knowledge of AI ethics, bias mitigation, and fairness considerations in model development.
• Experience working with enterprise ITAR compliance standards.
• Background in managing large-scale AI projects with multiple stakeholders.

Skills & tools

• Jira for project management and issue tracking.
• Confluence for documentation and collaboration.
• Figma for designing user interfaces and conversational flows.
• Excel for data analysis and reporting.
• PowerBI for data visualization and dashboard creation.

Practical notes

• This is an on-site role based in the Czech Republic, with a contractor engagement.
• The position offers a flexible work environment, with a remote-first approach that allows for work-life balance.
• The company emphasizes employee well-being, providing resources for fitness, mental health, and overall wellness.
• Professional development is encouraged through exposure to diverse projects and industry events, supporting continuous learning.
• English is the primary language for daily communication within the global team, and fluency is required.
• The role involves working with international clients and teams, so cultural awareness and adaptability are important.
• The company values innovation and encourages employees to stay current with emerging AI trends and technologies.
• Candidates should be prepared to demonstrate their experience with AI projects, including technical and strategic contributions, during the interview process.