- Hiring from
- Portugal
- Work type
- Remote
- Posted
624,651 remote jobs, straight from company career pages
100% free · New jobs every minute
Show job descriptionHide job description
Product Manager - AI Scheduler
Remobi | Remote (need to be Portugal, Spain or Romania based) | B2B/Freelance/Contract | Until September 2027 initially
We are Remobi - we help businesses scale and innovate through high-performing, remote nearshore tech teams.
Role Description
We’re hiring a Product Manager to join a global energy technology leader, driving a flagship AI Lighthouse initiative that brings AI into project controls and bidding.
You’ll own the AI Scheduler use case, which turns customer requirements, internal standards and historical project data into baseline project schedules for bids. You’ll work alongside a business owner, technical lead and external delivery partner, with sight of the wider initiative.
What You’ll Do
- Own the AI Scheduler use case end to end, from requirements to delivery
- Act as the link between business owners, internal tech leads and the external delivery partner
- Translate business needs into clear requirements and manage the backlog in Jira
- Monitor, steer and challenge the external partner’s work to keep delivery on track
- Spot synergies and reusable components across connected AI use cases
- Present progress clearly to stakeholders at all levels
What We’re Looking For
- Proven Product Owner or Product Manager experience, ideally with a hands-on development background
- Solid understanding of ML, generative and agentic AI, RAG and knowledge graphs
- Strong grasp of data integration across multiple and historical data sources
- Working knowledge of AWS and how ML/MLOps pipelines are built and deployed
- Large-scale AI project experience and knowledge of scheduling tools such as Primavera (preferred)
- Excellent communicator and storyteller, fluent in English, willing to travel to Germany quarterly
Why This Role
You’ll shape a long-term, high-visibility AI programme from the ground up, making the tough calls that turn AI innovation into real impact on how a global leader plans and wins projects.
