Product Manager

About the role

RennerBrown is seeking a Platform Product Manager to guide the strategy and execution of an AI-powered recommendation engine. You will oversee the development of a cloud-based ecosystem that transforms complex data and generative AI insights into actionable customer guidance.

Key facts

What you'll do

• Manage the product roadmap for API integrations and system connectivity across enterprise applications.
• Translate intricate data models and AI functionality into scalable digital tools.
• Collaborate with data scientists and software engineers to refine algorithms and platform requirements.
• Align technical development with business objectives to ensure measurable value for end users.
• Act as the primary link between global stakeholders and technical delivery teams.

Requirements

• Bachelor or Master degree in Computer Science, Software Engineering, Data Science, or a related field.
• Minimum of 5 years of experience in product management for data platforms, enterprise SaaS, or AI-based products.
• Proven history of shipping products that utilize recommendation engines, machine learning, or predictive analytics.
• Demonstrated ability to work effectively with engineering, commercial, and data science departments.
• Proficiency in cloud-native environments such as AWS or Azure.
• Technical familiarity with SQL, JSON, Swagger/OpenAPI, and data platforms like Snowflake or Databricks.
• Experience using Jira and Confluence for Agile development.

Nice to have

• MBA degree.
• Background in industrial technology, B2B software, healthcare, or enterprise digital platforms.

Skills & tools

• AI and machine learning concepts
• Data architecture and systems integration
• Product prioritization and strategy
• Technical documentation and stakeholder management

Practical notes

• No third-party agencies or recruiters.