Machine Learning Engineering Intern developing innovative AI solutions for contact centers at Cresta. Collaborating with top researchers and engineers in AI to unlock customer experience potential.
About the role
- Staff Product Manager leading Vegetation Intelligence at Overstory, harnessing machine learning to enhance utility vegetation management. Overseeing product strategy and development for critical vegetation insights.
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
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. You understand how models get built, trained, evaluated, and improved, and you can talk model performance and trade-offs directly with data scientists and ML engineers.
- Experience turning a scaling- or technical-led roadmap into a customer-driven one, including running user research and translating it into product priorities.
- Experience working in a fast-paced startup, comfortable with ambiguity and making calls before everything’s fully defined.
- A track record building B2B products that customers rely on daily, including products where the value comes from turning data or model outputs into decisions customers can act on.
- Strong written and verbal communication. You bring clarity to technical trade-offs and bring teams along as priorities shift.
- Experience leading product strategy and roadmapping, and building consensus across product, engineering, and data science
Benefits
- Competitive, location-specific compensation and benefits
- Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
- Home office stipend, coworking and ongoing education budgets
- A company culture that genuinely embodies each of our core values
- To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis
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