Strategic Projects Lead - Coding

Scale AI
IN
On-site

Who this role is best for

Aimed at senior technical leaders comfortable with entrepreneurial challenges in AI-driven operational scaling, requiring SQL/Python proficiency and team management.

Best fit for

  • Technical leaders who thrive in ambiguous, high-impact operational roles.
    — “Strong problem-solving capabilities in technical environments
  • Entrepreneurial candidates excited by building processes from scratch.
    — “Entrepreneurial experience and mindset
  • Data-savvy professionals capable of driving revenue through operational decisions.
    — “Build analytics to make data-driven decisions

Things to consider

  • 90-day waiting period applies before reapplying for the same role.
    — “90-day waiting period before reconsidering candidates
  • Role demands wearing many hats across all operational dimensions.
    — “you should be prepared to wear many hats

How to stand out

  • Demonstrate specific instances where you built pipeline infrastructure under constraints.
    — “Build out pipeline infrastructure to ensure quality
  • Quantify impact of past projects on revenue or operational efficiency.
    — “drive $XXM+ in new revenue for the business
  • Highlight cross-functional collaboration with engineering and product teams.
    — “Partner with diverse stakeholders (Engineering + Product + Ops + Go-to-Market)
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · CompanyLevel · Manager

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Leading high-impact customer pipelines
  • Building out pipeline infrastructure
Typical background
3+ years of experience leading teams or projects

Skills & requirements

Required

Project ManagementData AnalyticsTeam ManagementProblem-solving

Preferred

Entrepreneurial Experience

Stack & domain

Machine Learning EngineeringComputer ScienceSoftware EngineeringSQLPythonData AnalyticsProblem SolvingTeam ManagementEntrepreneurial MindsetAIData Science

About the role

Original posting from Scale AI via Greenhouse

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

You Will Have:

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

 

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.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. 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. 

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 accommodations@scale.com. 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. 

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Source: Scale AI careers (Greenhouse)

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