Staff Product Manager, Machine Learning

Overstory; San Diego (CA); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Competitive compensation

Home office stipend

Flexible, autonomous environment

Ongoing education budget

Mission-driven work

Job summary

Overstory is seeking a Senior Product Manager to lead Vegetation Intelligence, turning remote sensing data into actionable vegetation insights for utilities. You’ll own strategy and a multi-year roadmap, working closely with data scientists, ML engineers, and field customers to ship high-impact products that prevent outages and wildfires.

You’ll drive user research, translate findings into product priorities, and evolve the roadmap from technical to customer-centric while preserving rigorous

Qualifications

• 8+ years of product management experience with a track record shipping

Responsibilities

• Own the roadmap for Vegetation Intelligence from ML models to customer-facing products.
• Push detection models and fold outputs into outage/ignition risk models.
• Run user research and ground priorities in operational decisions.
• Shift roadmap to customer-driven while maintaining technical rigor.
• Collaborate with data scientists and ML engineers to ship product value.
• Incorporate feedback from customers and end users to improve model performance over time.
• Communicate trade-offs and priorities across product and engineering teams.
• Contribute to overall product strategy to align with company direction.

Skills

Product management

Machine learning

Geospatial data

Roadmapping

User research

B2B products

Communication

Tools

GIS tools

Job description

Role & Team

You’ll lead a core part of our Vegetation Intelligence, the product area that turns remote sensing imagery and data into the vegetation insights that utilities act on every day, through world-class machine learning models. It’s one of Overstory’s most foundational products, live with customers now, and it sits at the center of how we prevent outages and stop wildfires. Every missed tree is an outage or a fire that could have been prevented.

The job is twofold. One is real ML-adjacent work: pushing our detection models further and turning their raw outputs into risk data precise enough for customers to trust and act on. You’ll need to be comfortable with complex machine learning models and geospatial data, close to the data science and engineering teams, and fluent enough in model trade-offs to make good calls with data scientists and ML engineers.

The other side is where you get to build new capabilities: taking that same data and pushing it into new products and capabilities customers don't have yet. You'll run user research, ground new product bets in the decisions customers make in the field, and turn a strong model into products that prevent real fires and real outages.

You’ll report to the Director of Product and own the strategy and roadmap for this product area end to end.

Time Zone Requirement: Europe (GMT/WET, CET, EET) and Eastern North America (NST, AST, EST, CST) Comfortable maintaining 3-4 hours of overlap European working hours for collaboration with the broader Overstory team.

What You'll Do

• 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

Skills & Experience

• 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

Nice-to-haves

• Experience building geospatial products or working with GIS technologies.

• Experience with complex data products, especially data pipelines and platforms, including ingesting and processing large, diverse datasets from multiple sources.

• Experience building machine learning products for image-based applications, like computer vision or image recognition.

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What we offer

• 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