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S27a is seeking a Strategic Project Lead to own end-to-end initiatives for our AI Lab customers. You will translate customer needs into clear project specs, architect data pipelines, and align Operations and domain experts to deliver high-quality results.
You will set milestones, drive tight execution, manage client communications, and mentor project leads to ensure speed and quality in a fast-paced startup environment.
Job Title: Strategic Project Lead
Job Type: Full-Time
Location: Remote
Leadership & Team Management
Data Operations
Human Data
As a Strategic Projects Lead (SPL), you will own end-to-end execution for projects with our top AI Lab customers. You will translate customer needs into clear project specifications, design and launch data pipelines, and align Operations and domain experts to deliver quickly and at a high quality.
Own projects end to end, from pipeline framing and scoping through execution and delivery.
Translate customer needs into clear, actionable project specifications.
Design and continuously improve pipelines for usability, clarity, quality, and scalability.
Align Operations and domain experts for rapid deployment.
Set delivery milestones and drive a tight execution cadence.
Own client communication, keeping it clear, direct, and consistent.
Manage domain experts and project leads to ensure quality and delivery.
Provide daily internal updates with progress, blockers, and explicit next steps.
Exceptional communication and project management skills.
Strong ownership, urgency, and attention to detail.
Startup and entrepreneurial mindset with a bias toward execution.
Background in data operations, engineering, computer science, or technical project management.
2+ years of experience leading complex projects or operational workflows.
Ability to turn ambiguity into clear plans and execute rapidly.
Comfortable working in a fast-paced, high-intensity environment.
Experience working with AI/ML companies, AI Labs, or data annotation/evaluation projects.
Experience managing technical or data-intensive projects in a fast-paced startup environment.
Familiarity with data pipelines, AI training workflows, and human-in-the-loop operations.
Technical background in Computer Science, Engineering, or a related field.
All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies.