Product Manager
About this role
- 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+ 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.
- 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
Company at a glance
Paces builds Agentic AI for Power Projects and AI Infrastructure, aiming to enable the climate optimum use of the world’s land and advance climate-positive outcomes. The company positions itself as a thought leader in the evolving data center and renewables markets and describes itself as building the development engine for power projects and renewable infrastructure. Its platform automates early-stage due diligence and accelerates late-stage diligence, moving projects from siting to construction-ready more quickly, while supporting renewable energy and data center developers, real estate firms, and EV charging companies by streamlining siting, interconnection, and permitting. Paces has raised over $13 million in funding led by Navitas Capital, Resolute Ventures, and Y Combinator, and the company emphasizes having world-class customers and growing.
Top Benefits
- Equity Compensation
- 401(k) Matching
- Health Insurance
- Dental Insurance
- Vision Insurance
- Paid Company Holidays
- Paid Time Off
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