Senior Operations Associate - Machine Learning

Dandy

About The Position

Dandy is transforming the massive and antiquated dental industry—an industry worth over $400B. Backed by some of the world’s leading venture capital firms, we’re on an ambitious mission to simplify and modernize every function of the dental practice through technology. As we expand our reach globally, Dandy is building the operating system for dental offices around the world—empowering clinicians and their teams with technology, innovation, and world-class support to achieve more for their practices, their people, and their patients. Dandy is building a machine learning-driven dental design engine. The gap between an ML program that transforms operations and one that stalls comes down to whether someone can scope the problem clearly, design the data collection programs that feed the model, bring a 400-person workforce of highly skilled designers along on new tooling, and track whether any of it is actually working. We're hiring an ML Operations Lead to sit on our Special Operations team and own the planning and execution of our highest-priority ML incubation projects. You'll define workstreams, collect and interpret data, drive alignment across stakeholders, and manage implementation from scoping through delivery. You'll also build the training programs that upskill our workforce on ML-related workflows and stand up the testing infrastructure that tells us whether new models are ready to deploy.

Requirements

2–4 years of experience in startups, corporate operations, consulting, or a similar environment where you've owned work end-to-end
Data-driven: comfortable using SQL, Looker, or similar tools
Strong program and project management skills, including experience using tools like Asana or Jira to plan and track activities
The ability to influence a variety of stakeholders
Clear, direct communicator who can navigate multiple cultural contexts with ease
Self-starter with high ownership, sharp detail orientation, and the ability to drive clarity in ambiguous environments
Willingness to travel domestically and internationally on short notice
Bachelor's degree in a relevant field

Nice To Haves

Exposure to machine learning or program management
Experience building or meaningfully improving a training or enablement program for a non-technical workforce
Background in manufacturing, industrial operations, or precision production environments
Outstanding professional references who can speak to your ownership, judgment, and ability to execute through ambiguity
Relentlessly positive attitude, strong sense of humor, and the ability to thrive in a fast-moving environment

Responsibilities

Own ML Data Collection & Incubation Programs
Define and scope complex operational challenges into clear, actionable workstreams with measurable success criteria
Plan and execute data collection programs that feed Dandy's highest-priority ML initiatives
Monitor project health, measure operational efficiency, and flag implementation risks
Synthesize updates into clear status reports that drive alignment and keep projects on track
Build ML Workforce Enablement Programs
Design and lead training programs that upskill our manufacturing and DDC workforce on ML-related tools, workflows, and expectations
Own the full cycle from needs assessment through delivery and iteration, and adjust quickly when something isn't working
Stand Up Model Testing Infrastructure
Build the operational framework for testing new ML models in a live workforce environment
Define success criteria, coordinate across Operations and Quality teams, and create the reporting that makes model performance visible to decision-makers
Drive Stakeholder Alignment
Develop and maintain detailed project plans to monitor progress against milestones and deliverables
Build coalitions of support across teams including ML, Operations, Quality, and People
Communicate clearly across multiple levels and cultural contexts