Overview at snorkel, we believe meaningful ai doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized ai at scale. The ai landscape has changed dramatically since snorkel began as a research project in the stanford ai lab, and we continue to enable organizations to build custom ai with their data faster than ever before. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more. At snorkel ai, we are pioneering new approaches to data development. We are seeking a delivery operations manager who will manage and optimize processes, ensuring high-quality outcomes and seamless delivery. This role blends operational rigor, analytical thinking, and cross-functional collaboration, offering a unique opportunity to make a significant impact. Responsibilities collaborate with a senior technical delivery manager to meet project timelines, deliverables, and quality standards. Engage with expert contributors to ensure high-quality datasets are delivered to customers. Conduct quality reviews to maintain data annotation accuracy and consistency. Monitor pipeline health and implement proactive solutions to prevent bottlenecks. Track project progress and performance through data analysis and reporting. Develop documentation for labeling guidelines and operational processes. Partner with stakeholders across teams to resolve blockers and sustain production efficiency. Provide regular updates to stakeholders on progress and key insights. Qualifications proficiency with google workspace tools and strong data analysis skills. A proactive, results-driven mindset with creative problem-solving abilities. Adaptability to excel in a fast-paced, dynamic environment. Excellent written and verbal communication skills in english. Experience working with technical and non-technical stakeholders. The ability to work independently and collaboratively in a remote setting. Bonus points familiarity with data annotation pipelines and machine learning workflows. Experience with sql or other database languages. Strong analytical and process improvement capabilities. A degree in an analytics-focused field (e.g., engineering, economics, business) or an interest in computer science, statistics, or data analytics. Pay and employment pay transparency notice: depending on your work location, the target annual salary for this position can range as detailed below. This is a remote position based in mexico. To support global hiring, this role will be employed through our employer of record partner. You will be a full-time snorkel employee, fully integrated into our team and culture. Snorkel ai is proud to be an equal employment opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel ai embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel ai prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. J-18808-ljbffr