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Strategic Projects Lead

Leads end-to-end delivery of complex cross-functional technical programs in AI/ML, data operations, engineering, and product evaluation. Aligns stakeholders, manages scope/resources, builds scalable workflows/data pipelines, and coordinates distributed teams. Requires master's degree and 4+ years in engineering-related roles.

183k – 192kMenlo Park, CATechnical Program ManagementOnsite4+ YOE

About the role

Key Responsibilities

  • Lead the planning, execution, and delivery of complex, cross-functional projects in technical domains such as data operations, AI/ML model development, engineering design, and product evaluation.
  • Oversee the design, implementation, and continuous improvement of workflows and systems for large, distributed teams comprising engineers, analysts, contractors, and technical specialists.
  • Develop and enforce industry-standard practices for project documentation, quality assurance, and compliance across multiple technical programs.
  • Collaborate with engineering, business development, and product teams to define requirements, manage project scope, prioritize initiatives, and resolve bottlenecks for strategic business objectives.
  • Manage project tracking, resource allocation, and milestone delivery using project management platforms (Jira, Notion, Linear, or similar).
  • Recruit, onboard, and coordinate specialized contractors and subject matter experts for diverse technical projects, including but not limited to data collection, annotation, engineering analysis, or hardware evaluation.
  • Identify, evaluate, and implement strategies for sourcing and processing technical and engineering data for use in AI/ML training.
  • Develop, document, and refine scalable data pipelines and automated processes, ensuring compliance with industry standards and enabling rapid adaptation to changing technical requirements.

Requirements

  • Master's degree or foreign equivalent in Business Administration, Engineering, Computer Science, Physics, or a related field.
  • Four years of experience in the job offered, or in an engineering-related occupation.
  • 2 years of experience working with multi-disciplinary technical teams in one or more of the following domains: AI/ML, engineering design, data operations, product development, or technical program management.
  • 2 years of experience designing, implementing, and improving operational processes, quality assurance protocols, or documentation standards in technical environments.
  • 2 years of experience working in industries related to hardware manufacturing, design engineering, semiconductor development or similar with a demonstrated understanding of end-to-end hardware design methodologies.
  • 2 years of demonstrated experience in process improvement and analytical problem solving.
  • 1 year of experience managing complex projects using advanced project management platforms (Jira, Notion, Linear, or similar) with responsibility for workflow optimization and resource allocation.
  • 1 year of experience in coordinating projects and translating data into strategic business insights.

Skills

AI/MLJiraNotionLinearData PipelinesProject ManagementQuality AssuranceWorkflow OptimizationHardware DesignData Operations

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