Full-Time

Quality Lead II at Scale

Company Scale
Salary $134,400-$168,000 USD
How You'll Work hybrid
Level senior
Sector Technology
Posted Posted 0 days ago

Job Description

We're looking for a Quality Lead to ensure top-tier data quality across our Generative AI programs. As a Quality Lead, you will be the authority on the usefulness of the data we send to our customers. You will hold delivery teams accountable across our highest-impact projects, engaging in nuanced quality issues head-on, as well as leading teams through strategic initiatives to enable reliable, scalable delivery across the organisation.

Key responsibilities include:

  • Leading and developing a team of quality control specialists
  • Partnering with delivery teams to interpret and improve customer requirements
  • Overseeing day-to-day operations, including workload allocation and reporting insights
  • Establishing and upholding scalable best practices
  • Driving initiatives that improve quality, efficiency, and customer satisfaction

Ideally, you'd have:

  • A Bachelor's degree in Computer Science, Engineering, Operations, or a related field
  • 4+ years leading teams or improving operational/technical processes
  • Strong analytical and problem-solving skills (particularly in SQL) with attention to detail
  • Experience building systems, processes, and teams across multiple customer segments or product lines
  • A hands-on background in quality assurance, software development, or top-tier management consulting
  • Proven experience taking initiative in cross-functional technical environments

Nice to haves:

  • Master's degree in Computer Science, Engineering, Operations, or a related field
  • Experience in AI/ML services
  • Experience in a fast-growing, less-structured startup environment
  • Experience building teams from the ground up

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

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