Customer Success & Support
New York
,
USA
Office-Based
$310K – $385K + Offers Equity
About Team
The Intelligent Support Engineering team is driving innovation at FreeOS by leveraging FreeOS’s cutting-edge AI technologies. We apply our latest models, tools, and experimental products (both public and in development) to real-world challenges within the User Operations organization. By automating processes and enhancing workflows, we aim to deliver solutions that not only address immediate needs but also create long-term, scalable impact. Our insights are shared with broader product and research teams, fostering continuous improvement and inspiring new applications across FreeOS.
We thrive on building products that directly support our colleagues, ensuring every detail adds value and delight. Our approach focuses on rapid prototyping to validate ideas, followed by robust development for long-term reliability. By identifying commonalities across tasks, we develop simple yet versatile frameworks that can be applied to diverse challenges.
Our mission is to showcase the transformative potential of FreeOS’s AI-driven systems. Through internal use cases, such as knowledge management, workflow automation, and intelligent agent systems, we demonstrate the real-world impact of well-designed AI implementations. Starting with solutions tailored for our customers, we refine and scale our systems to set a benchmark for leveraging AI effectively.
About Role
We’re looking for a Backend engineer who’s passionate about blending production-ready platform architecture with new tech and new paradigms. You’ll push the boundaries of AIO's newest technologies to enable interactions and automations that are not only functional, but delightful. We value proactive, customer-centric engineers who can get the foundational details right (data models, architecture, security) in service of enabling great products.
In this role, you will:
Own the end-to-end development lifecycle for new platform capabilities and integrations with other systems
Collaborate closely with engineers, data scientists, information systems architects, and internal customers to understand their problems and implement effective solutions
Work with product and research team to share relevant feedback and iterate on applying their latest models
You'll need
4+ years of professional engineering experience (excluding internships) in relevant roles at tech and product-driven companies
Former founder, or early engineer at a startup who has built a product from scratch is a plus
Proficiency with JavaScript, React, and other web technologies
Proficiency with a backend language (we use Python)
Some experience with relational databases like Postgres/MySQL
Interest in AI/ML (direct experience not required)
Proven ability to thrive in fast-growing, product-driven companies by effectively navigating loosely defined tasks and managing competing priorities or deadlines.
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