Material Security · 1 month ago
Senior Technical Program Manager Data Labeling, Data and Machine Learning
Material Security is a company focused on protecting users and their privacy. The Senior Technical Program Manager: Data Labeling will lead initiatives to build and optimize data annotation programs essential for AI model performance.
Cyber SecurityEmailManagement Information SystemsNetwork SecuritySoftware
Responsibilities
You will lead cross-functional initiatives to build, scale, and optimize data annotation programs critical to AI model performance
You'll own program delivery across internal teams, vendor partners, and ML stakeholders to ensure high-quality labeled datasets are delivered on time and at scale
This role is both strategic and execution-driven: you'll define roadmaps, manage SLAs, create scalable processes, and resolve bottlenecks to ensure the labeling engine is efficient, quality-controlled, and model-aligned
Define and drive end-to-end execution of large-scale annotation programs across multiple data types
Collaborate with ML, product, and data operations teams to scope and prioritize labeling needs
Own vendor engagement: onboarding, SLA management, training, and quality reviews
Build feedback loops between annotators and model performance to inform labeling strategies
Create dashboards and reporting mechanisms to track labeling velocity, quality, and cost
Lead 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 a team of trained threat analysts who conduct our labeling
Conduct analysis of the quality of the labeling and for insights into how our detections can be improved
Hire and train new or replacement threat analysts
Qualification
Required
5+ years of program management experience, ideally in ML ops, data labeling, or AI infrastructure
Proven track record building and managing remote labeling teams
Strong understanding of ML lifecycle stages and the importance of annotated data quality
Experience defining SOPs, audit mechanisms, and workflows for scalable data labeling
Proficient in project management tools such as Jira, Asana, or Linear for program tracking
A deep understanding on ML Operations labeling tools and experience building or maintaining an annotation tool
Strong analytical and communication skills; ability to synthesize feedback from ML, ops, and product stakeholders and also analyze data to spot trends in our labeling or detection quality
Understanding of data privacy and security standards and how they can be followed in a labeling program
Preferred
Exposure to LLMs, foundation models, or active learning-based data curation
Familiarity with annotation for multimodal inputs (e.g., Image, Text, Documents, OCR based forms etc)
Knowledge of quality scoring frameworks, inter-annotator agreement (IAA), or QA loop design
The ability to develop and maintain labeling quality metrics and analytic insights and report on those to senior management
Technical background (e.g., in ML, data science, or engineering) is a plus
Company
Material Security
Material Security is an email security company that develops data-driven security software to protect an organization's users and data.
H1B Sponsorship
Material Security has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (1)
2023 (1)
Funding
Current Stage
Growth StageTotal Funding
$162MKey Investors
Founders FundAndreessen Horowitz
2022-05-11Series C· $100M
2021-05-26Series B· $40M
2020-06-30Series A· $22M
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