Product Manager

Paces•New York, NY

13d•$160,000 - $200,000•Hybrid

About The Position

Paces is seeking a motivated, collaborative, and insightful Product Manager to join their team in Brooklyn, New York. This role involves developing new products and evolving existing ones within an aggressive development timeline, focusing on solving previously unsolved problems in the renewable energy development space. The ideal candidate is passionate about making things work, detail-oriented, a self-starter, and eager to contribute to meaningful work that accelerates the transition to renewable energy infrastructure.

Requirements

4+ years of product management, data science, software engineering, or analytics experience.
1+ years 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.

Nice To Haves

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.).

Responsibilities

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 investment 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.