Client

Our client is a well-established B2B SaaS company developing software used daily by field teams in retail and consumer goods environments. With a strong focus on practical usability, data-driven decision-making, and continuous product improvement, the company is investing further in its product organization to support long-term growth and innovation. As part of this, we are looking for an experienced Product Manager to take ownership of a critical product area and help shape its future development, including the use of AI where it brings real customer value.

Position

The Product Manager – Execution & AI Workflows sits within the Product department and reports directly to the VP of Product. Based in Zagreb, this role owns one of the company’s most important product domains: in-store execution workflows used by field representatives and their managers on a daily basis.

The role spans the full product lifecycle, from discovery through delivery and iteration. You will work closely with engineering, shared design resources, data, customer success, sales, and product marketing, and will be in regular contact with customers. A key focus is improving how data is collected and used in the field, simplifying workflows, increasing adoption, and developing AI-powered capabilities that are genuinely useful in real-world execution.

Key responsibilities include:

Product Ownership: Owning the roadmap for in-store execution workflows and related AI-powered planning and execution features
Discovery & Validation: Leading discovery through customer conversations, product data, and stakeholder input
Prioritization: Making clear trade-offs between impact, effort, risk, and learning in a complex product environment
Delivery Leadership: Working closely with engineering and design from concept to launch
Data & Metrics: Defining success metrics and using product usage and customer signals to guide decisions
Workflow Improvement: Improving speed, clarity, and usability of field data capture and execution processes
AI Enablement: Developing and refining AI-powered workflows where they add clear, practical value
Cross-functional Collaboration: Supporting product marketing, sales, and customer success with full product context
Customer Engagement: Working directly with enterprise customers to understand needs and validate solutions
Team Leadership: Leading and influencing more than one product team as ownership expands

Candidate

3–6 years of experience as a Product Manager in a B2B SaaS environment
Experience owning end-to-end product areas, not just individual features
Comfort working with complex products and shared team resources
Ability to think strategically while staying close to execution
Strong, data-driven approach to decision-making and experimentation
Experience with AI-powered features, or a strong interest in building them
Experience working in Agile/Scrum environments with engineering teams
Clear and confident communication skills
Fluency in written and spoken English
Experience in retail or CPG environments is a plus

Personal profile

Proactive, curious, and comfortable taking responsibility
Able to connect product decisions with broader business outcomes
Comfortable working in a demanding role with many inputs and priorities
Collaborative and effective across functions
Able to prioritize, manage workload, and protect focus in a fast-moving environment
Comfortable with experimentation, change, and evolving product direction
Aware of time-zone challenges when working with North American customers and able to manage them sensibly

What’s in it for you?

A high-impact product role with real ownership and influence
Direct collaboration with senior product leadership
Opportunity to work on practical, problem-driven AI features
Exposure to complex, real-world product challenges
Competitive compensation package
Hybrid work model with flexibility

Contact

If you are an experienced Product Manager who enjoys taking ownership, making real decisions, and working close to both customers and delivery, we invite you to apply. Please submit your CV in English via the APPLICATION LINK. All applications will be handled with the utmost confidentiality.

Product Manager - Execution & AI Workfl...