Senior Software Developer – API & Partner Integrations

Job not on LinkedIn

🔥 0 minutes ago

❄️ Minnesota – Remote

❄️ Minnesota – Remote

💵 $99k - $172.7k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

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Datasite

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💸 Finance

☁️ SaaS

🤖 Artificial Intelligence

Finance • SaaS • Artificial Intelligence

Datasite is a leading provider of secure software solutions for managing financial transactions, with a focus on mergers and acquisitions (M&A), restructuring, and capital raising. The company's platform offers innovative data room technology that supports due diligence, deal lifecycle management, and collaboration for buy-side and sell-side teams. Datasite leverages advanced tools, including AI/ML capabilities, to streamline transactions and enhance security and productivity. Its clients include investment banks, corporate development teams, private equity firms, and law firms, and it operates across various industries, ensuring compliance with international regulations.

📋 Description

• Lead projects and drive technical decisions for scalable platform systems with an AI-first mindset • Balance business context, customer impact, and long-term platform health • Enable intelligent, API-driven experiences and partner integrations • Help ensure new partnerships are delivered with operational rigor and creative problem solving • Drive architectural improvements that scale AI workloads and improve reliability across APIs and platform services • Evaluate trade-offs across speed, cost, accuracy, and scalability in AI-enabled and partner-driven solutions • Mentor engineers through coaching and feedback, promote continuous learning and experimentation.

🎯 Requirements

• Strong experience building and operating scalable distributed systems and APIs • Prior experience building, scaling, or supporting a marketplace platform (B2B SaaS, developer marketplace, app marketplace, integration marketplace, or partner ecosystem) with responsibility for partner onboarding, integration delivery, and ecosystem growth. • Experience or exposure to AI/ML technologies (LLMs, embeddings, automation workflows, etc.) • Ability to ramp quickly on new technologies and domains, especially in AI and partner ecosystems • Proven success leading work in ambiguous, fast-moving environments • Excellent collaboration, communication, and cross-team influence.

🏖️ Benefits

• Health insurance (medical, dental, vision) • Retirement savings plan • Paid time off • Other employee benefits