Remote Strategic Project Lead, AI Data Pipelines

Ladders; United States; Remote; USD 300,000 - 500,000; Full time

Benefits offered by this job

Fully remote

AI training & research

Strategic technical leadership

Cross-disciplinary collaboration

Continuous improvement

Job summary

Ladders is seeking a Strategic Project Lead, Coding/SWE to drive end-to-end software delivery for AI initiatives in a fully remote US-based role. You will coordinate engineering workflows, translate objectives into execution plans, and improve reliability across delivery processes.

The role emphasizes collaboration with technical experts and cross-functional stakeholders to ensure quality, scalability, and continuous improvement in coding workflows and data validation.

Qualifications

• 2+ years leading technical projects or complex data workflows.
• Strong grasp of software engineering principles and coding workflows.
• Experience managing cross-functional technical activities.
• Familiarity with quality assurance methodologies and performance metrics.

Responsibilities

• Lead end-to-end delivery of software engineering data pipelines for AI development.
• Coordinate project activities among engineering experts and stakeholders.
• Translate project objectives into execution plans and quality requirements.
• Establish scalable and reliable delivery processes.
• Design and enhance operational workflows for coding tasks and data validation.
• Identify automation opportunities to improve pipeline efficiency.
• Monitor operational metrics and analyze workflow data for improvements.

Skills

Technical leadership

Cross-functional collaboration

Software engineering principles

Data workflows

Communication

Education

Bachelor's degree in Computer Science or Software Engineering

Job description

Ladders is seeking a Strategic Project Lead, Coding/SWE to drive end-to-end software delivery for AI initiatives in a fully remote US-based role. You will coordinate engineering workflows, translate objectives into execution plans, and improve reliability across delivery processes.

The role emphasizes collaboration with technical experts and cross-functional stakeholders to ensure quality, scalability, and continuous improvement in coding workflows and data validation.