Senior Strategic Projects Lead, Generative AI

1 Day ago • 5 Years + • $168,000 PA - $210,000 PA

Job Summary

Job Description

As a Strategic Projects Lead (SPL), you will spearhead initiatives designed to generate over $XXM in new revenue for the Generative AI business unit, which is experiencing significant growth. This demanding role requires an entrepreneurial mindset, a willingness to delve into the details, and a passion for impactful work. You will be the primary owner of key customer pipelines, making decisions that directly impact data quality, operational efficiency, revenue, and margins. This includes understanding customer needs, designing data taxonomy, building pipeline infrastructure, managing global teams, and developing data-driven analytics. You will also partner with diverse stakeholders to drive advancements for leading LLMs and provide regular updates to the executive team.
Must have:
  • Strong technical background in engineering or computer science (or data analytics using SQL or Python).
  • 5+ years of experience developing product or operational processes, or as a SWE.
  • 2+ years leading a team.
  • Strong problem-solving capabilities and the ability to create solutions to ambiguous problems.
  • Entrepreneurial experience and mindset, eager to build from scratch and execute quickly.

Job Details

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).
  • 5+ years of experience developing product or operational processes, or as a SWE.
  • 2+ years leading a team
  • 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

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