VP of Product

VP Of Product

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.

Paces is building the development engine for renewable infrastructure and power projects. 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: projects move from siting to construction-ready in a fraction of the time. Our platform streamlines siting, interconnection, and permitting for renewable energy and data center developers, real estate firms, EV charging companies, and more.

We are building a team where people can proudly say their time at Paces is the most impactful, meaningful work of their career. Our amazing team in Brooklyn, New York includes incredible team members from tech companies like Meta AI, DeepMind, and Tesla; various high growth startups; as well as industry leaders from TotalEnergies, Con Edison and GE.

What You'll Achieve

• Product Strategy : Own the roadmap for a platform that carries a data center or power project from market selection through siting, permitting, and interconnection.
• Metrics driven : Understand the metrics that AI forward products work, and build a product customers reach for daily rather than quarterly.
• Org Management : Hire and coach PMs who can hold their own with a transmission engineer and a staff ML engineer in the same meeting.
• Customer Depth : Spend real time with hyperscalers, data center developers, IPPs, and renewable developers. Turn what you hear into a roadmap engineering can build against without a translation layer.
• AI Product Craft : Ship agentic products that domain experts trust. Set the standard for how we evaluate agent quality, handle failure modes, and decide where a human belongs in the loop.

Requirements

• 8+ years in product, including 3+ years leading product teams. You have hired PMs and managed through pod or group leads.
• You have taken a technical B2B product from early traction to real scale, ideally in the $5M to $50M ARR range.
• You have shipped AI products where accuracy matters and the user is a domain expert, not a consumer.
• Fluency with data-heavy products
• You write clearly. Your specs, memos and updates do the work that would otherwise take a meeting.
• Real opinions on pricing and packaging, and changes to both that you have actually shipped.

About You

• Share our passion to build something that fights climate change.
• Genuinely excited about difficult challenges in a fast growing organization.
• Want to work on the binding constraint of the next decade, which is power.
• Can hold strategy and execution in the same week without dropping either.
• Are drawn to problems where the domain is genuinely hard.

Bonus Points

• Former founder
• Experience with geospatial, power, or simulation-heavy products
• Background in power, energy, data centers, or infrastructure
• You have been the first product leader at a company and lived through what breaks.

Compensation and Benefits

• $240K - $300K base, depending on experience
• Meaningful equity and bonus.
• 401(k) matching
• Health, Dental and Vision insurance
• Paid company holidays & PTO
• Hybrid work in the office in Williamsburg, Brooklyn ~3x per week

About Paces

• If you're a builder who wants to actively construct a more climate positive future, join us!
• We are enabling the climate optimum use for all the world's land and are thought leaders in the evolving data center and renewables markets.
• We have a dog calendar and have dogs running around in the office.
• We have world class customers and are growing!
• We've raised $18M+ led by Navitas Capital, Resolute Ventures and Y Combinator.