Product Manager

About the role

Paces is building the development engine for power projects and renewable infrastructure. We have built Agentic AI that automates early-stage due diligence and pairs it with in-house expertise to accelerate late-stage diligence. The result is projects that move from siting to construction-ready in a fraction of the time. Our platform supports renewable energy and data center developers, real estate firms, EV charging companies, and more by streamlining siting, interconnection, and permitting.

What You'll Achieve

• 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.

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.

About You

• 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.

Bonus Points

• 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.).

Compensation And Benefits

• 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