ABOUT ANTICIMEX INNOVATION CENTER

Anticimex is a global leader in intelligent pest control, operating in over 20 countries. Their SMART concept has transformed preventive pest control through connected sensors, automation, and data-driven decision-making.
The Anticimex Innovation Center in Denmark is the company’s global R&D hub - building the platforms, data infrastructure, and digital tools that power Anticimex SMART worldwide. From real-time sensors to generative AI, they develop solutions that turn physical data into scalable intelligence.

QUALIFICATIONS

• Degree in Engineering, Computer Science, or a background in software development
• Proven experience as a Product Manager in data platforms, analytics, or data-centric SaaS
• Strong understanding of data architecture, modeling, and pipeline orchestration
• Familiarity with data lake and Lakehouse technologies (e.g., Delta Lake, Snowflake)
• Experience working with AI/ML workflows and emerging technologies like generative AI
• Skilled at managing stakeholders across engineering, product, and business functions
• Fluent in English (written and spoken)

ABOUT THE ROLE

We are looking for a Product Manager to lead the development of the data platform - the foundation for insight, analytics, and intelligent services across the Anticimex ecosystem. Where the Device Integrations team handles data ingestion from IoT devices, this role focuses on what happens next: transforming that data into structured, usable insight. You’ll manage the data lake and knowledge base, and ensure capturing, organizing, and activating data from multiple sources - from smart devices to customer systems and public datasets.
You will work closely with data engineers, data scientists, and other product managers to develop scalable insight, internal analytics tools, and emerging AI-driven services - all designed to support operations, improve customer value, and strengthen Anticimex’s digital offerings globally.

KEY RESPONSIBILITIES

• Overall to define the why and what of the product, including prioritization of product feature development
• Define and drive the roadmap for our data lake, knowledge base, and insight services
• Work closely with the Smart API team to enhance and extend device data post-ingestion
• Ensure structured ingestion, semantic alignment, and governance of all data types
• Deliver scalable data services and APIs for use across products, platforms, and teams
• Collaborate with AI/ML teams on insight generation and experimentation
• Drive data quality, discoverability, and security across the platform
• Align teams around common data formats, taxonomies, and lifecycle models
• Build and own the products that connect IoT devices to our cloud platform
• Define and deliver the core capabilities that turn device data into product value