Staff Product Manager, Machine Learning
New
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OverstoryClimate Technology
United States | Canada | United Kingdom | The Netherlands | Denmark | Estonia | France | Ireland | Portugal | Sweden | Switzerland, Europe (GMT/WET, CET, EET) and Eastern North America (NST, AST, EST, CST) with 3-4 hours of overlap required.Full-TimeStaff
Salary not disclosed
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Job Details
- Experience
- 8+ years
- Required Skills
- Machine LearningProduct ManagementData scienceCross-functional collaborationComputer Vision
Requirements
- 8+ years of product management experience, with a track record that proves both craft and shipping speed.
- Hands-on experience building and shipping products powered by machine learning models.
- Understanding of how models get built, trained, evaluated, and improved, and the ability to discuss performance and trade-offs.
- Experience turning a scaling- or technical-led roadmap into a customer-driven one.
- Experience running user research and translating it into product priorities.
- Experience working in a fast-paced startup environment with ambiguity.
- Track record building B2B products that customers rely on daily.
- Experience turning data or model outputs into decisions customers can act on.
- Strong written and verbal communication skills.
- Experience leading product strategy and roadmapping, and building consensus across product, engineering, and data science.
Responsibilities
- Own the roadmap for Vegetation Intelligence, spanning from the ML models that produce our risk data to the products that turn it into customer action.
- Push our detection models further, and help fold their outputs into Overstory’s broader outage and ignition risk models.
- Contribute towards increasing the number of actionable insights: run user research, ground priorities in the operational decisions customers actually make, and make sure what we ship drives real action in the field.
- Shift the roadmap from scaling- and technical-led to customer-driven, without losing the technical rigor that got us here.
- Work closely with data scientists and ML engineers to turn model capability into shipped product value, and define what “good” looks like for a model in production.
- Explore how feedback from customers and end users, like arborists, can improve model performance over time.
- Communicate clearly and often with the broader product and engineering team, so trade-offs, model limits, and priorities stay visible.
- Contribute to Overstory’s broader product strategy so Vegetation Insights supports where the rest of the product is headed.
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