Technical Project Manager, Global Remote

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Requirements:

• Proven experience in project management, ideally in a technical or software development context.
• Advanced knowledge of SQL for writing queries for larger volumes of data (~ 1 million rows)
• Solid understanding of data modeling (e.g. normalization)
• Experience with Google Sheets and/or Excel for data cleaning and handling
• Exceptional communication and interpersonal skills, engaging stakeholders at all levels with clarity and confidence.
• Demonstrate systematic and analytical problem-solving skills, capable of overseeing complex projects from inception to completion.
• Thrive in culturally diverse environments, valuing collaboration and diverse perspectives.
• Have experience with data labeling, data annotation, and/or AI training.
• Hands-on experience with software engineering or website development.
• Use Python for data handling
• Basic knowledge of HTML or XML (e.g. familiarity with developing simple web pages)
• Background in Quality Assurance for data-related projects or business analysis.
• Experience with Postgres (our relational database of choice)
• Knowledge on how to code and utilize Javascript or AppScript in sheets for creating automations and integrations

Responsibilities:

• Oversee and manage the lifecycle of projects, ensuring timely collection and delivery of data for AI training and research.
• Identify and understand customer business goals and needs.
• Collaborate with cross-functional teams to define project scope, milestones, and deliverables.
• Maintain clear, transparent communication with peers and stakeholders regarding progress, challenges, and blockers.
• Ensure customer satisfaction and growth of customer accounts.
• Understand and participate in backend system development and data modeling processes.
• Provide guidance on database normalization and structuring.
• Write and review advanced SQL queries and ensure database optimization.
• Handle tasks related to data cleaning, data munging, and data visualization using SQL and basic Python, if applicable.
• Efficiently manage and analyze data volumes exceeding 1 million rows, transitioning from tools like Google Sheets or Excel when needed.
• Use tools like labelstud.io for data labeling, which involves basic HTML knowledge.
• Collaborate with team members across various roles, embodying the flexibility and adaptability typical of startup environments.
• Engage in community activities and required meetings to enhance processes and outcomes.