Strategic Project Lead
micro1· Core team
Remote$120k - $160kFull-timePosted 1mo ago
About the role
Strategic Projects Lead responsible for end-to-end execution for top AI Lab customers, translating needs into specifications, designing data pipelines, and coordinating operations and domain experts to deliver high-quality results in a remote, full-time role.
Responsibilities
- 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.
Qualifications
- 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.
Skills
Required:Leadership & Team ManagementData OperationsHuman Data
Benefits
- equity compensation
- performance-based bonuses (dependent on role and subject to company policies)
- comprehensive benefits package
- up to 100% reimbursement for health-insurance premiums
- paid time off
- 401(K) plan with company match
- additional remote-first workforce benefits
Last updated Oct 11, 2026. Interested? Apply on the company site.
About micro1
Data lab to train frontier models & evaluate agents
We’re building the infrastructure for advancing intelligence through expert human data, real-world training environments, and contextual evaluations.
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