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Mid LevelFull-timeAIML
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Product Manager to join Mariana Minerals, a mining company that builds its own software. You'll own PlantOS, our autonomy platform for mineral processing facilities, using reinforcement learning to optimize operations in real-time.
Key Responsibilities
- →Define what to build by analyzing operational performance data and talking to operators and process engineers
- →Spend 25-50% of your time at processing facilities, learning process chemistry and understanding where software can change outcomes
- →Bridge different stakeholders including PhD chemists, plant operators, and ML engineers
- →Ship software that runs in production environments controlling real equipment
- →Work with domain experts and ML engineers to identify where reinforcement learning can improve recovery, throughput, or efficiency
Requirements
- ✓4-7 years in product management, with experience in industrial, manufacturing, or heavy industry software
- ✓Intellectual curiosity about physical systems
- ✓Ability to communicate across a wide range of technical literacy
- ✓Experience working on data-intensive or ML-powered products
- ✓Demonstrated ability to ship products in complex technical environments
- ✓Summary Bullets
- ✓Own PlantOS, Mariana's autonomy platform for mineral processing facilities
- ✓Define product requirements by analyzing operational data and engaging with stakeholders
- ✓Bridge communication gaps between PhD chemists, plant operators, and ML engineers
- ✓Ship software controlling real equipment with physical and financial consequences
- ✓Work with domain experts to optimize recovery, throughput, and efficiency
- ✓Spend significant time at processing facilities understanding operations
- ✓Build systems that didn't exist before in the mineral processing industry
- ✓Requirement Bullets
- ✓4-7 years in product management with industrial software experience
- ✓Strong understanding of physical systems like flotation circuits
- ✓Excellent communication skills across technical literacy ranges
- ✓Experience with data-intensive or ML-powered products
- ✓Ability to ship products in complex technical environments
- ✓Nice to have: process control, SCADA/DCS systems, or industrial automation experience
- ✓Nice to have: familiarity with reinforcement learning or ML-based optimization
- ✓Nice to have: background in chemical engineering, metallurgy, or process engineering
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