Staff Product Manager (Machine Learning, Remote)

Job summary

This role involves leading the Vegetation Intelligence product area, focusing on transforming remote sensing imagery and data into actionable insights for utilities through advanced machine learning models. The position is critical in preventing outages and wildfires by enhancing detection models and developing new product capabilities.

Qualifications

• Over 8 years of product management experience with a proven track record in product delivery.
• Hands-on experience in building and shipping machine learning-powered products, with the ability to discuss model performance with technical teams.
• Experience in transitioning from a technical-led roadmap to a customer-driven approach, including conducting user research.
• Background in fast-paced startup environments and comfort with ambiguity.
• Proven experience in developing B2B products that leverage data for customer decision-making.
• Strong communication skills to articulate technical trade-offs and align teams.

Responsibilities

• Own and manage the roadmap for Vegetation Intelligence, integrating ML models with actionable customer insights.
• Enhance detection models and incorporate their outputs into broader risk models.
• Conduct user research to align product priorities with customer needs and operational decisions.
• Shift focus from technical scaling to customer-driven development while maintaining technical rigor.
• Collaborate with data scientists and ML engineers to translate model capabilities into product value.
• Gather feedback from users to improve model performance over time.
• Maintain clear communication with product and engineering teams regarding trade-offs and priorities.
• Contribute to the overall product strategy to ensure alignment with organizational goals.

Skills

• Strong experience in product strategy and roadmapping, with the ability to build consensus across teams.
• Familiarity with geospatial products or GIS technologies is a plus.
• Experience with complex data products and machine learning applications, particularly in image processing.

Education

• Relevant educational background in a related field is preferred but not explicitly stated.

Tools

• Familiarity with machine learning frameworks and tools used in product development is beneficial.