Product Manager, Platform & Data;

The Opportunity

In the next 30 years, the world will transform every part of the built environment to be climate positive green infrastructure. But today’s renewable energy development process can’t move fast enough to meet global goals. Paces exists to change that. We are providing software and services to accelerate power development – unlocking one of the greatest opportunities of our time: transforming how infrastructure gets built and ensuring it’s built with renewable energy.

• Own the product vision and roadmap for all data ingested into the platform, making strategic decisions on which datasets unlock the most value for customers and product development.
• Make critical build vs. buy decisions on strategically important land use, real estate, and infrastructure datasets, and own commercial negotiations with data vendors and partners.
• Define how data is surfaced, structured, and made accessible across the platform to accelerate product development and improve user workflows.
• Partner with engineering to design data infrastructure, APIs, and integration strategies that scale as the platform grows.
• Work cross-functionally with product teams to understand their data needs, prioritize dataset acquisitions, and eliminate data bottlenecks.
• Establish the framework for evaluating data quality, coverage, and ROI, ensuring we invest in datasets that drive measurable business outcomes.
• Prototype rapidly with messy geospatial and land use datasets when needed, building conviction through hands‑on exploration before committing engineering resources.

• 4 years of product management, data science, software engineering, or analytics experience.
• 1 year of early‑stage startup experience.
• Strong experience working with data products, platforms, or infrastructure.
• Proven ability to work through ambiguous data problems and turn insights into clear product requirements.
• Technically fluent—comfortable working with APIs, databases, data models, and evaluating dataset quality.
• Experience making strategic decisions about data investments with limited information.
• Skilled at balancing immediate product needs with long‑term platform scalability.

• A systems thinker who connects data decisions to product outcomes and business impact.
• A fast learner who can evaluate unfamiliar datasets, understand their structure and limitations, and assess their strategic value in new domains.
• Scrappy and hands‑on—willing to dive into messy data yourself to build conviction and accelerate decision‑making.
• Commercially minded, always weighing the cost of data acquisition against the value it unlocks for customers and internal teams.
• Ruthlessly protective of data quality and platform integrity while maintaining velocity.
• Excited about the future of AI, geospatial technology, and building infrastructure that powers the energy transition.

• Former founder or experience building data platforms or infrastructure products.
• Experience with GIS, real estate, or infrastructure datasets (zoning, parcels, electrical infrastructure, environmental layers, etc.).
• Comfortable with Python and SQL for exploratory data analysis and prototyping.
• Experience with geospatial tools (QGIS, PostGIS, etc.) or working with spatial data.
• Write regularly and maintain a strong perspective about data strategy, infrastructure, or energy tech (blog, Substack, etc.).

• 160k-200k annual compensation
• Competitive equity compensation
• 401(k) matching
• Health, Dental and Vision insurance
• Paid company holidays & PTO
• Hybrid work in the office in Williamsburg, Brooklyn ~3x per week