Engineering Manager, Contributor Quality

3 Months ago • 5 Years + • Software Development & Engineering • $212,000 PA - $254,400 PA

Job Summary

Job Description

The Engineering Manager for Contributor Quality will lead the team and drive technical delivery, working cross-functionally to build and improve solutions for contributor quality. This involves managing the entire product lifecycle, from conception to production, including features for the front-end, back-end, and system design. Responsibilities include delivering experiments, influencing team culture, and mentoring engineers. The role requires collaboration with cross-functional teams to define and ship new product features. This will involve building both external and internal facing products that effectively onboard, assess contributors, establish the quality infrastructure and grow our high-quality contributor community.
Must have:
  • 5+ years of relevant experience and 2+ years of managing engineers
  • Experience leading and developing high-performing engineering teams
  • Expertise in identifying product engagement patterns and trends
  • Track record of shipping high-quality products at scale
  • Ability to turn business and product ideas into solutions
  • Excellent problem-solving skills, ability to work independently or in a team
Perks:
  • Comprehensive health, dental, and vision coverage
  • Retirement benefits
  • Learning and development stipend
  • Generous PTO
  • Commuter stipend (may be eligible)

Job Details

At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations.

 

About Data Engine

Our Generative AI Data Engine powers the world’s most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI.

 

About our Contributor Quality Team:

The Contributor Quality team’s mission is to measure and improve the quality of contributors on our platform in order to maximize high-quality data for our end customers. As the leader of this team, you’ll drive the strategy, architecture, and development of the contributor quality solutions, building both external and internal facing products that effectively onboard, assess contributors, establish the quality infrastructure and grow our high-quality contributor community. We work closely with Product, Operations, Design, ML & Data Science teams and build cutting edge LLM-powered products.

 

Responsibilities:

  • Manage the engineering team and drive technical delivery
  • Comfortable working cross functionally, whether that be internal or external customers
  • Work across the entire product lifecycle from conceptualization through production
  • Build features end-to-end: front-end, back-end, system design, debugging and testing
  • Deliver experiments at a high velocity and level of quality to engage our customers
  • Influence the culture, values, and processes of a growing engineering team
  • Inspire and mentor engineers
  • Collaborating with cross-functional teams to define, design, and ship new product features and experiences

Requirements:

  • At least 5 years of relevant experience and at least 2 years of experience managing engineers is preferred
  • Proven success in leading, managing, and developing high-performing Engineering teams
  • Expertise in identifying product engagement patterns and trends for large scale consumer products
  • Track record of shipping high-quality products and features at scale
  • Desire to work in a very fast-paced environment
  • Ability to turn business and product ideas into engineering solutions
  • Excellent problem-solving skills, and be able to work independently or as part of a team.
  • Excited to join a dynamic, hybrid team in either San Francisco or New York City.

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. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:

$212,000 - $254,400 USD

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, 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. 

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.

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