Strategic Projects Lead

Company	Scale AI
Location	San Francisco, CA, USA, New York, NY, USA
Salary	$112000 – $140000
Type	Full-Time
Degrees	Bachelor’s
Experience Level	Entry Level/New Grad, Junior

Strong Technical Background: A technical degree is required for this role. Acceptable degrees include Computer Science, Data Science, Analytics, STEM, Statistics, and Operations Research.
Data Visualization Skills: Experience visualizing data using tools like Excel, Google Sheets, Tableau, or PowerBI is essential for tracking progress and communicating insights.
Relevant Experience: 0-2 years of experience in product development, operations, or software engineering demonstrates your ability to work in a fast-paced, technical environment.
Excellent Communication: Strong written and verbal communication skills are crucial for collaborating with diverse stakeholders and managing teams.
Attention to Detail: The ability to maintain a high level of accuracy and thoroughness is essential for ensuring data quality and pipeline integrity.
Problem-Solving Skills: You should be able to think creatively and develop innovative solutions to complex and ambiguous operational challenges.
Entrepreneurial Mindset: The ideal candidate is excited about building things from scratch, proactive in identifying issues, and able to execute quickly to drive results.

Drive Customer Pipelines: Take ownership of day-to-day progress on high-priority customer pipelines, ensuring projects move forward efficiently.
Calibrate Customer Needs: Work closely with customers to understand their requirements and design data taxonomies that optimize model performance.
Build Complex Infrastructure: Develop and maintain the infrastructure required to ensure data pipelines are efficient, scalable, and produce high-quality output.
Manage Global Workforces: Assist in training, coaching, and managing global teams of data contributors, ensuring they are aligned with project goals and deliver quality work.
Make Data-Driven Decisions: Utilize analytics and data visualization tools to track progress, identify bottlenecks, and make informed decisions to optimize pipeline performance.
Collaborate Cross-Functionally: Partner with stakeholders across Engineering, Product, Operations, and Go-to-Market teams to solve multi-faceted problems and drive LLM advancements.
Grow Your Scope: Own larger and larger components of our data delivery processes, until you ultimately serve as the full owner of our most visible and high impact customer pipelines.

No preferred qualifications provided.