
North.cloud automates cloud cost optimization and FinOps so engineering and finance teams reduce AWS and GCP spend without long-term commitments. It uses AI and machine learning (including LLMs) to…

North.cloud automates cloud cost optimization and FinOps so engineering and finance teams reduce AWS and GCP spend without long-term commitments. It uses AI and machine learning (including LLMs) to…
Product: AI-driven FinOps platform for AWS and GCP (features: Arctic, CostStreams, Agent North, GreenOps)
Founded: 2023
Location: Brooklyn, New York
Funding: $7.65M total; $5M Series A (Jun 30, 2025) led by Companyon Ventures
Customers / traction: $600M+ annual spend under management; $148M+ saved (claims)
Cloud cost optimization, FinOps, and cloud sustainability for enterprise AWS and GCP customers.
2023
Information Technology
$5,000,000
“Backed by multiple early-stage investors including Companyon Ventures and others”
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Sr. Software Engineer, AI
Location: Brooklyn, NY (Hybrid) Experience: 5+ years in ML/AI Engineering
About North
The public cloud is rapidly evolving, with businesses investing over $200B annually in cloud technology. As AI accelerates demand for scalable infrastructure, cloud costs are soaring, and most teams still rely on spreadsheets to manage them.
At North, we're building the next-generation cloud spend management platform. We give companies real-time visibility, control, and automation over their cloud finances, so they can grow efficiently, without wasting time or money.
Backed by top-tier investors and trusted by global customers like Brave, The New York Public Library, and SumUp, we're assembling a world-class team to redefine how businesses manage cloud infrastructure.
About the Role
We're looking for a Sr. Software Engineer, AI to own the machine learning and AI efforts across our platform. You'll work directly with our CTO to define and build AI-powered features that will shape Agent North, our customer-facing AI assistant, as well as drive advancements in cost and usage forecasting, financial modeling, and multi-service provider rightsizing.
This is a hands-on, senior-level role — perfect for someone who thrives in a fast-moving startup environment, has built ML-powered products before, and is comfortable taking a project from 0 to 1. If you're a high-energy, motivated engineer passionate about LLMs, cloud infrastructure, and deploying AI systems at scale, we'd love to hear from you.
What You'll Do
What We're Looking For
Nice to Have
Work Setup
Hybrid role based in New York City, with an office in Dumbo, Brooklyn.
Benefits
Compensation
$230,000 – $270,000 base salary, depending on experience Equity included
If you're a ML engineer who loves building AI-powered products, deploying at scale, and shaping the future of cloud financial automation, we'd love to hear from you.
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