
Click. Connect. Get paid from your enterprise customers. We built Monto for all the revenue teams tired of dealing with endless customer A/P portals. Monto is the first platform that connects with…

Click. Connect. Get paid from your enterprise customers. We built Monto for all the revenue teams tired of dealing with endless customer A/P portals. Monto is the first platform that connects with…
Sector: B2B payments SaaS
Product: AI agents that connect suppliers to buyer AP portals to automate invoice submission, tracking, and collections
Seed raise: $9M (seed)
Founders / CEO: Maya Cohen (CEO) and co‑founders Gabriel Wertheimer, Nitsan Yerushalmi, Yoav Shotland
Scale claims: 500+ AP portals connected; operations in 67 countries; $10B+ collected (company claims)
Accounts receivable / supplier-facing B2B payments automation
Software Development
$9M
Company announced exiting stealth with a $9M seed round; other participating VCs include Verissimo Ventures, F2 Venture Capital, Firsthand Alliance and Room40 Ventures; angel backers also named.
“Seed led by Scale Venture Partners with participation from multiple VCs and angels”
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About Us
Monto is revolutionizing B2B payments by offering the first AI connector between suppliers and buyers, enabling seamless collections and real-time transaction data. Our mission is to introduce the interconnected future of B2B payments, where companies can easily communicate to pay and get paid as we overcome the challenges of interoperability between financial platforms.
Job Description
We’re looking for a Principal Software Engineer to lead the next generation of our automation platform.
This is a hands-on technical leadership role focused on building AI-powered automation systems that operate across complex third-party web platforms in the accounts payable space. You’ll work on systems that combine browser automation, LLMs, orchestration, and production-grade infrastructure to solve messy real-world workflows at scale.
This role is ideal for someone who enjoys working at the edge of what’s possible with automation and AI, but also knows how to turn experiments into reliable systems that customers can depend on.
What You’ll Do:
Requirements:
Nice‑to‑Have
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