Why This Job is Featured on The SaaS Jobs
This Senior Machine Learning Engineering Manager role sits at the intersection of applied GenAI and a mature SaaS platform with multiple product surfaces. In the current SaaS landscape, where AI features are increasingly embedded into core workflows rather than shipped as standalone experiments, leadership roles that can connect model development to product and platform constraints are particularly relevant.
From a SaaS career perspective, the work signals exposure to the practical realities of operating ML at scale: reliability, latency, data pipelines, and integration across web and mobile clients. Managing teams in this context tends to build durable skills in prioritisation, measurement, and cross-functional execution—capabilities that transfer across subscription software businesses that are balancing innovation with enterprise-grade expectations.
This position is best suited to engineering leaders who prefer shaping direction while staying close to technical trade-offs, especially across platform and product boundaries. It will appeal to professionals who enjoy translating ambiguous AI possibilities into repeatable delivery and who are comfortable coordinating with adjacent disciplines (infrastructure, product engineering, and security) to land outcomes that hold up in production.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
The Dropbox Engineering Team builds the technology that creates more enlightened ways of working for hundreds of millions of people. Every day, our platforms—including Dropbox Dash, Dropbox Sign, and our core sync engine—handle over a billion files for users worldwide, creating engineering challenges as great as the opportunity for impact. Our software engineering team uses a range of technologies to solve interesting problems, including Python, React, Node.js, JavaScript, MongoDB, PostgreSQL, and Android development. We think like a startup but build for an enterprise, exploring new possibilities that transform how people work. If you're excited about turning complex technical challenges into intuitive solutions at scale, join our Engineering team.
Areas of work include Machine Learning Engineers, Infrastructure Engineer, Product SWE Frontend and Backend, Mobile Software Engineers (iOS and Android), Engineering Manager, Data Engineer, Software Development Engineer in Test, Security Engineering, Site Reliability Engineer, Technical Program Managers, Network Engineer, Datacenter Engineer, Technical Supply Chain Manager and more.
