Strategic Projects Lead, Generative AI Operations New York, NY

Scale AI, Inc.; New York (NY); On-site; USD 140,000 - 175,000; Full time

Job summary

An established industry player is seeking a Strategic Projects Lead to spearhead initiatives that drive substantial revenue growth. This role demands a strong entrepreneurial mindset and the ability to tackle complex operational challenges. You will own high-impact customer pipelines, design data taxonomies, and collaborate with diverse teams to enhance model performance. If you thrive in dynamic environments and are passionate about AI's transformative power, this is your chance to make a significant impact in a rapidly growing field. Join a forward-thinking company committed to innovation and inclusivity.

Qualifications

• Strong technical background with experience in data analytics using SQL or Python.
• 2+ years of experience in team leadership or operational processes.

Responsibilities

• Lead initiatives that drive significant revenue growth for the business.
• Build pipeline infrastructure and train global teams for operational efficiency.

Skills

Data Analytics

Problem Solving

Entrepreneurial Mindset

Team Leadership

SQL

Python

Education

Degree in Engineering

Degree in Computer Science

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.

You will:

• 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.

Ideally, you’d have:

• Strong technical background (a degree in engineering or computer science is ideal, and at minimum the role requires the ability to do data analytics using SQL or Python).
• 2+ years of experience leading a team, developing product or operational processes, or as a SWE.
• Strong problem solving capabilities (experience working on operational challenges is a plus) - ability to come up with creative solutions to complex, ambiguous operational problems.
• Entrepreneurial experience and mindset - you are excited about building things from scratch and are able to identify issues and execute quickly.

For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, and Seattle is:

$140,000 — $175,000 USD.

About Us:

At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.

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.