Senior Staff Technical Program Manager

This is a fully remote position, open to applicants in New York.

📋 Description

• Oversee the comprehensive strategy, planning, execution, and delivery of extensive AI dataset development initiatives.

• Foster collaboration among ML engineers, GIS engineers, technical artists, product stakeholders, infrastructure teams, and external annotation partners to achieve intricate technical projects.

• Collaborate with engineering and research leaders to establish scalable data pipelines, annotation workflows, and operational best practices to enhance quality, efficiency, and model performance.

• Manage strategic vendor relationships, including onboarding, quality assurance, throughput planning, operational metrics, and continuous process enhancement.

• Set annotation standards, quality metrics, validation processes, and data governance practices to guarantee reproducible, high-quality datasets across the organization.

• Work alongside engineering teams to refine annotation platforms, automation, and data infrastructure, ensuring scalable, secure, and dependable dataset production.

• Identify cross-program risks, manage dependencies, establish operational metrics, and communicate program health and strategic recommendations to senior leadership.

• Ensure that data collection, annotation, and governance practices comply with privacy, security, regulatory, and responsible AI standards.

• Promote documentation standards that guarantee data provenance, technical decisions, operational processes, and institutional knowledge are retained and easily transferable.

⛳️ Requirements

• Over 10 years of experience managing large-scale technical programs.

• Extensive experience in AI/ML, data infrastructure, or large-scale data annotation.

• Proven track record of successfully leading highly complex, cross-functional programs involving multiple engineering organizations and executive stakeholders.

• In-depth knowledge of geospatial data types (e.g., rasters, 3D point clouds, 2D vector data) and formats (COG, OSM, GeoJSON, Shapefile, LAZ) is advantageous.

• Familiarity with machine learning workflows, supervised learning, dataset development, and data quality management.

• Strong systems thinking capability with the ability to link technical decisions to business outcomes.

• Excellent attention to detail and conscientiousness.

• Proficiency with project management tools such as Jira and Confluence.

• Comfort using the Unix command line and knowledge of Git for version control and a git server.

• Familiarity with database management or administration.

• A technical background (e.g., Computer Science, Data Science, Engineering) is preferred.

• Experience with real-time 3D rendering is preferred.

🏝️ Benefits

• Medical, dental, and vision insurance.

• 401(k).

• Paid leave.

• Tuition reimbursement.

• A variety of other discounts and perks.