Strategic Projects Lead - Coding

Scale AI; India; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Scale AI is seeking a Strategic Projects Lead to take ownership of major customer pipelines and drive initiatives for significant revenue growth. This role demands strong technical skills in data analytics using SQL and Python, plus leadership experience managing dynamic teams. Candidates should have a background in Machine Learning Engineering or Computer Science, and be excited about taking on complex operational challenges. This is a unique opportunity to work at a company committed to inclusivity and equal opportunity.

Qualifications

• Strong technical background required.
• 3+ years of experience managing operational processes or as a software engineer.
• Comfortable with creative solutions to complex problems.

Responsibilities

• Own high impact customer pipelines, affecting data quality and efficiency.
• Design data taxonomy based on customer needs.
• Manage global teams and train them effectively.
• Collaborate with stakeholders on LLM advancements.

Skills

Data analytics using SQL

Proficiency in Python

Problem-solving in technical environments

Team leadership

Entrepreneurial mindset

Education

Degree in Machine Learning Engineering, Computer Science, or Software Engineering

Job description

Scale’s Generative AI business unit is currently seeing historic levels of growth. As a Strategic Projects Lead (SPL), you will lead initiatives that will drive $XXM+ in new revenue for the business. This is a demanding role, and as an SPL, you should be prepared to wear many hats across all dimensions of Operations. The ideal SPL should have a strong entrepreneurial mindset, be comfortable getting into the weeds, and be excited about intense, impactful work that leads to accelerated career progression.

Responsibilities

• Serve as the full owner of our most visible and high impact customer pipelines, making decisions that directly impact data quality, operational efficiency, revenue, and margins
• Understand customer requirements and design data taxonomy best suited to improving model performance based on customer needs
• Build out pipeline infrastructure to ensure quality and efficiency
• Train, coach, and manage dynamic and global teams
• Build analytics to make data-driven decisions
• Partner with diverse stakeholders (Engineering + Product + Ops + Go-to-Market) to work on problems that will drive advancements for the largest LLMs in the world
• Give regular progress updates to Scale’s executive team

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

Qualifications

• A strong technical background is required for this position. For example, a degree in Machine Learning Engineering, Computer Science, or Software Engineering. The role requires the ability to do data analytics using SQL, Python, and a high proficiency in understanding Software Engineering processes
• 3+ years of experience leading a team/projects, managing operational processes, or 3+ years of experience as a SWE
• Strong problem-solving capabilities in technical environments - ability to come up with creative solutions to complex, ambiguous, operational, and technical problems
• Entrepreneurial experience and mindset - you are excited about building things from scratch and can identify issues and execute quickly

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at [e-mail]. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

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