Technical Program ManagerProgram Manager
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Job Location:
San Francisco, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
10 hours ago
Vacancies:
1 Vacancy
Job Summary
Job Title: Technical Program Manager/Program Manager
Location: San Francisco CA or Mountain View CA
Duration: 12 Months
Location: San Francisco CA or Mountain View CA
Duration: 12 Months
Job Description:
R&D Operations Organization is seeking a highly motivated and technically skilled Technical Program Manager (TPM) to lead and oversee data annotation programs that power our cutting-edge AI research initiatives. This role sits at the intersection of program management data operations and AI/ML and will play a pivotal part in ensuring that our data annotation efforts are scalable high-quality and aligned with the needs of our research and product teams.
You will collaborate closely with researchers data scientists ML engineers and vendor operations to drive the end-to-end lifecycle of large-scale data labeling and curation efforts - from strategy and planning to execution delivery and quality evaluation.
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.
Competencies and Requirements
Bachelors or Masters 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.
Keywords: AL/ML SQL Program Management Data Quality
Key Skills
- Project Management Methodology
- Project / Program Management
- Program Management
- Management Experience
- Microsoft Powerpoint
- Project Management
- Microsoft Project
- Budgeting
- DoD Experience
- Leadership Experience
- Supervising Experience
- Contracts
