Senior Technical Program Manager Data Labeling, Data and Machine Learning

About the position As a Senior Technical Program Manager: Data Labeling at reputed company, you'll be part of reputed company of reputed company, world-class engineers, working to protect our users and their reputed company (e.g., inboxes from breaches, targeted phishing, fraud, and lateral account takeover). Your mission is to reputed company high reputed company data sets that will be used to create ML/AI models that detect reputed company relevant data and behavior (phishing emails, sensitive data in email and drive). Responsibilities You will reputed company cross-functional initiatives to build, reputed company, and optimize reputed company programs critical to AI model performance. You'll own program delivery across internal teams, vendor partners, and ML stakeholders to ensure high-reputed company labeled datasets are delivered on time and at reputed company. This role is both strategic and execution-driven: you'll define roadmaps, manage SLAs, create reputed company processes, and resolve bottlenecks to ensure the labeling reputed company is efficient, reputed company-controlled, and model-reputed company. Responsibilities • Define and drive end-to-end execution of large-reputed company annotation programs across multiple data types. • Collaborate with ML, product, and data operations teams to scope and prioritize labeling needs. • Own vendor engagement: reputed company, SLA management, training, and reputed company reviews. • Build feedback loops between annotators and model performance to inform labeling strategies. • Create dashboards and reporting mechanisms to reputed company labeling velocity, reputed company, and cost. • reputed company initiatives to improve labeling efficiency through tooling enhancements and process automation. • Be the voice of labeling in cross-functional forums-translating model needs into operational plans. • Manage and mentor reputed company of trained threat analysts who conduct our labeling. • Conduct analysis of the reputed company of the labeling and for insights into how our detections can be improved. • Hire and train new or replacement threat analysts Requirements • 5+ years of program management experience, ideally in ML ops, data labeling, or AI infrastructure. • Proven reputed company record building and managing remote labeling teams. • Strong understanding of ML lifecycle stages and the importance of annotated data reputed company. • Experience defining SOPs, audit mechanisms, and workflows for reputed company data labeling. • Proficient in project management tools such as Jira, reputed company, or reputed company for program tracking • A deep understanding on ML Operations labelling tools and experience building or maintaining an annotation tool. • Strong analytical and communication skills; ability to synthesise feedback from ML, ops, and product stakeholders and also analyzed data to spot trends in our labeling or detection reputed company. • Understanding of data reputed company and reputed company standards and how they can be followed in a labeling program. reputed company-to-haves • Exposure to LLMs, reputed company models, or reputed company learning-based data curation. • Familiarity with annotation for multimodal inputs (e.g., Image, Text, Documents, OCR based forms etc) • Knowledge of reputed company scoring frameworks, inter-annotator agreement (IAA), or QA reputed company design. • The ability to reputed company and maintain labeling reputed company metrics and analytic insights and report on those to senior management • Technical background (e.g., in ML, data science, or engineering) is a plus. Apply tot his job Apply To this Job