DynPro Inc. ยท 7 hours ago
Technical Program Manager
Mountain View, CA
Contract
Hybrid
Senior Level
$90/hr - $100/hr
7+ years expDynPro Inc. is seeking a highly motivated and technically skilled Technical Program Manager to lead and oversee data annotation programs for AI research initiatives. This role involves collaborating with researchers and engineers to drive the lifecycle of data labeling efforts, ensuring quality and scalability of the data used in AI projects.
Information TechnologySoftware
Responsibilities
Program Ownership: Drive large-scale data annotation programs end-to-end, from scoping requirements to delivery and post-mortem analysis
Cross-Functional Collaboration: Partner with AI Research leadership, AI researchers, data scientists, ML engineers, and product managers to define data needs, success metrics, and annotation guidelines
Vendor & Workforce Management: Manage external annotation vendors and internal labeling teams, including contract negotiation, SLAs, quality standards, and throughput planning
Quality & Process: Design and implement robust quality control pipelines, annotation tools, and feedback loops to ensure data quality at scale
Tooling & Automation: Collaborate with engineering to improve annotation infrastructure, workflows, and data pipelines for efficiency and scalability
Data Strategy & Governance: Contribute to data governance best practices, including privacy, security, ethics, and compliance in annotation workflows
Reporting & Metrics: Define and track key program metrics (cost, quality, speed, volume), and regularly communicate progress to stakeholders and leadership
Internal Adoption: Coordinate internal adoption of agentic AI products by building onboarding processes, workflows, and change management strategies
Data Quality Leadership: Establish and standardize processes for measuring, monitoring, and improving data quality across datasets and annotation teams
Customer Engagement: Collaborate with external customers and research partners on evaluation workshops, pilots, and feedback sessions to drive continuous improvement
Qualification
Required
Bachelor's or Master's degree in a technical field (e.g. Computer Science, Data Science, Machine Learning, Information Systems) or equivalent practical experience
7+ years of experience in technical program management, project management, or operations in data-centric or AI/ML environments
Strong understanding of ML development workflows, data pipelines, and annotation lifecycle
Experience managing large-scale data labeling or data collection efforts, including working with third-party vendors
Familiarity with big data platforms (e.g. Apache Spark, Databricks, Hadoop) and data warehousing concepts
Excellent organizational, problem-solving, and communication skills with the ability to influence cross-functional stakeholders
Proven track record of driving cross-functional teams to deliver complex technical projects on time and with high quality
Excellent communication, negotiation and analytical skills, with the ability to document standard operating procedures and processes
Advanced working SQL Knowledge, Ability to build and maintain analytics to track, forecast, and visualize consumption through ad-hoc SQL, reports, and dashboards
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
Self-motivated and able to work independently, as well as in a team environment
Preferred
Good working knowledge of GPU technology and its applications in generative AI and machine learning
Familiarity with big data technologies such as Apache Spark, Delta Lake, and MLflow is a plus
Company
DynPro Inc.
DynPro is a Global Leader in IT Solutions & Services.
1001-5000 employees
H1B Sponsorship
DynPro Inc. 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
2025 (12)
2024 (12)
2023 (11)
2022 (6)
2021 (9)
2020 (16)
Funding
Current Stage
Late StageLeadership Team
Vaibhav Mankame
Chief Growth Officer
Recent News
2025-06-25
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