Manager – Trust and Safety Lead @ Scale AI

Scale is at the forefront of Generative AI and the development of AI applications. Accelerating the adoption of AI necessitates that models are trusted and safe, and ensuring that the workforce building those models is supported. We’re seeking a highly motivated and experienced program manager to build out critical functions of our Trust & Safety team.

We are growing operations rapidly, on-boarding new customers, and launching products all the time. This raises new strategic questions we need to answer as well as tactical challenges we need to overcome. You will be part of a highly motivated team of operators and collaborators who will ensure Trust and Safety of all of Scale’s platforms and contributors.

The blend of operations, process improvement, and cross-functional leadership make this a unique and exciting role that will provide an opportunity to work with multiple teams (e.g., Engineering, Marketing, Operations, Analytics, and several others) across the company and around the globe.

You will:

Set team priorities and lead cross-functional projects with diverse stakeholders (Engineering + Ops + Go-to-Market)
Scope and develop new products or enhance existing ones to fulfill the needs of our internal Trust & Safety goals
Collaborate with stakeholders to improve processes for new and existing customers
Coordinate with legal, security, operations and product teams, as well as external vendors, to develop and implement risk management strategies for Scale’s platforms
Build, maintain, and regularly communicate detailed reporting for other leaders across the company who will use your team’s insights to inform and improve their own operations and strategy

Ideally you’d have:

3+ years as a team/people manager
Industry experience in risk, trust & safety, fraud, and/or a role in a top tier consulting firm
An undergraduate degree from a top university in an analytics heavy major (e.g., Engineering or Economics) and/or a graduate degree from a top university in Engineering, Economics, or Business
Experience with common control frameworks (e.g., risk assessments, regulatory review, compliance requirements analysis, etc.).
Experience solving problems across multiple functions and stakeholders
Experience in the operationalization and/or development of scalable solutions and structure within a complex environment
Data Analysis: Strong analytical skills are required, preferably with experience in using data analysis tools or software.
You should be capable of interpreting complex data, identifying trends, and making data-driven decisions.
Experience with SQL and/or another database language, understanding and hands-on experience with SQL and/or another database language, ability to handle, analyze, and interpret large datasets.
Excellent leadership, problem-solving, and written/verbal communication skills; ability to challenge and apply these skills in a wide variety of situations, including executive briefings

Nice to haves:

5+ years of professional experience in analytical roles focussing on risk detection, complex investigations, and incident response
Experience developing and delivering information to senior leadership audiences.

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:

$160,000—$185,000 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 affirmative action employer and 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 [email protected]. 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.

You will:

Ideally you’d have:

Nice to haves:

6 month growth

1 year growth

2 year growth

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