Senior Manager, Data Science and Machine Learning

Toast
Remote, USPosted 24 February 2026

Job Description

<p>Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.</p> <p>As a Senior Engineering Manager for ML AI, you will partner across the RD org and represent the team as the data science and machine learning thought leader and set directions for the Data AI team to deliver innovative machine learning solutions using our huge reservoir of restaurant, payments, and orders data. You will work with data scientists, machine learning engineers, product managers and fellow engineering managers to turn ML/AI solutions into business impact across product lines, including commerce, hardware, guest and more.</p> <p><strong>A day in the life (Responsibilities) </strong></p> <ul> <li>Lead, influence and contribute across RD to drive business value for Toast and our restaurant customers</li> <li>Collaborate closely with product and engineering stakeholders to drive strategic direction for Toast’s AI-enabled products</li> <li>Work closely with leaders from Data Science, ML Engineering and Platform teams to help shape and execute the vision of ML Platform at Toast</li> <li>Break down larger ML initiatives into smaller problems that enables data science to deliver incremental business value and lead the team to execute on them</li> <li>Coach and mentor data scientists and ML engineers to be successful in their career growth</li> <li>Incorporate up-to-date DS approach as best practices for the team</li> <li>Help in continuing to build out and expand Toast’s AI product portfolio</li> <li>Work effectively in a dynamic, changing environment while focusing on key goals and objectives</li> </ul> <p><strong>What you'll need to thrive (Requirements)</strong></p> <ul> <li>Advanced degree in Data Science, Statistics, Applied Math, Computer Science, Engineering or other equivalent disciplines with 5+ years of experience leading Data Science ML Engineering teams</li> <li>Prior success deploying machine learning solutions in large-scale production environments</li> <li>Strong knowledge of underlying mathematical foundations of statistics and machine learning</li> <li>Demonstrated excellence in a relevant AI/ML discipline (CV, NLP, etc.), including experience with ML model building with libraries such as Scikit, Tensorflow and PyTorch</li> <li>Knowledge of fundamentals of machine learning, such as algorithm families (regression, classification, unsupervised), AB testing, hypothesis testing, and optimization</li> <li>Experience collaborating with cross-functional teams and product stakeholders to evaluate new Machine Learning opportunities</li> <li>Strong communication skills, demonstrated through documentation and presentations. Able to present findings to senior management to inform business decisions.</li> <li>Experience in mentoring and growing a data science team.</li> </ul> <p><strong>Bonus</strong> <strong><em>ingredients*</em></strong><strong>:</strong></p> <ul> <li>Problem solver who loves to dig into different kinds of data and can communicate their findings to cross-functional stakeholders</li> <li>Passion for research and curiosity that calls you to go beyond “good enough” to create something innovative and exciting</li> </ul> <p data-pm-slice="1 1 []"><strong>AI at Toast</strong></p> <p>At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.</p> <p><strong>Our Total Rewards Philosophy </strong><br>We strive to provide competitive compensation and benefits programs that h ... (truncated, view full listing at source)
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