<h3>Marketplace Product Manager, Generative AI</h3>Scale is at the forefront of enabling Machine Learning across multiple industries by improving the world’s leading Generative AI and Large Language Models.We are building the Generative AI Data Engine to push the boundaries of model development. We do this via human-powered datasets, world-class Reinforcement Learning with Human Feedback (RLHF), model evaluation and more. We build products for AI research teams training models and the world’s largest marketplace of human intelligence.We’re looking for a Marketplace Product Manager to build the world’s best experts platform, where we use human knowledge to align advanced AI systems. These experts (creative writers, physics PhDs, coders etc) provide human feedback to models that enable them to improve.This position reports to our General Manager, Xiaote Zhu.You will:<ul><li>Build the world’s largest marketplace for human intelligence</li><li>Grow the workforce (creative writers, physics PhD’s, coders etc) that will train many of the defining AI products of our time</li><li>Materialize a new profession with high paying (often $40+/hour), flexible work for tens of thousands of people around the world</li><li>Create a high integrity (anti-fraud) expert platform</li><li>Own end-to-end product development by understanding customer pain points, defining product requirements, managing development, testing, and launching products</li><li>Lead cross-functional teams including engineering, product design, operations, marketing, go-to-market, and finance</li><li>Work with exec leaders to determine and execute the product strategy of the business</li></ul>Must be able to commute to the San Francisco Office 3x weekly.Ideally, you’d have:<ul><li>Technical degree in computer science, engineering, or related field</li><li>Experience scaling and growth hacking consumer bases at hyper-growth startups</li><li>4+ years of experience in product management or software development and extremely strong track record</li><li>Excellent communication and presentation skills</li><li>Excitement to work with AI technologies</li><li>Experience with products leveraging AI is a plus</li></ul>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.The base salary range for this full-time position in the location of San Francisco is:$188,000 - $220,000 USDAbout 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.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 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.<h3>Apply for this job</h3>* indicates a required fieldFirst Name *Last Name *Email *Phone *Resume/CV *
#J-18808-Ljbffr

Scale is at the forefront of enabling Machine Learning across multiple industries by improving the world's leading Generative AI and Large Language Models.

We are building the Generative AI Data Engine to push the boundaries of model development. We do this via human-powered datasets, world-class Reinforcement Learning with Human Feedback (RLHF), model evaluation and more. We build products for AI research teams training models and the world's largest network of human expertise for the benefits of AI advancement.

We're looking for a Technical Product Manager to own key components of the Data Engine platform such that we can achieve the most optimal data quality while balancing contributor experience and operations efficiency.

You will:

Build the products that will allow the world's leading AI labs to build their training datasets
Work with exec leaders to determine and execute the product and operational strategy of the business
Drive key operational changes to achieve more consistent, high-quality data with faster turnaround times and higher efficiency.
Own end-to-end product development by understanding the key factors for data quality, defining product requirements, managing development and building necessary processes to operationalize the product
Lead cross-functional teams including engineering, design, content and operations
Must be able to commute to the San Francisco Office 3x weekly.

Ideally, you'd have:     Technical degree in computer science, engineering, or related field
4+ years of experience in building products
Experience operating in a fast-paced environment with ambiguity
Working knowledge of SQL and some coding skills (Python)
Excellent communication and presentation skills
Passion for solving complex challenges and building efficient systems

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:

$165,000-$210,000 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 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 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.

Scale is at the forefront of enabling Machine Learning across multiple industries by improving the world's leading Generative AI and Large Language Models. We are building the Generative AI Data Engine to push the boundaries of model development. We do this via human-powered datasets, world-class Reinforcement Learning with Human Feedback (RLHF), model evaluation and more. We build products for AI research teams training models and the world's largest network of human expertise for the benefits of AI advancement. We're looking for a Technical Product Manager to own key components of the Data Engine platform such that we can achieve the most optimal data quality while balancing contributor experience and operations efficiency. You will: <ul><li>Build the products that will allow the world's leading AI labs to build their training datasets</li><li>Work with exec leaders to determine and execute the product and operational strategy of the business</li><li>Drive key operational changes to achieve more consistent, high-quality data with faster turnaround times and higher efficiency. </li></ul><ul><li>Own end-to-end product development by understanding the key factors for data quality, defining product requirements, managing development and building necessary processes to operationalize the product</li><li>Lead cross-functional teams including engineering, design, content and operations</li></ul> Must be able to commute to the San Francisco Office 3x weekly. Ideally, you'd have: <ul><li>Technical degree in computer science, engineering, or related field</li><li>4+ years of experience in building products</li><li>Experience operating in a fast-paced environment with ambiguity</li><li>Working knowledge of SQL and some coding skills (Python)</li><li>Excellent communication and presentation skills</li><li>Passion for solving complex challenges and building efficient systems</li></ul> 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: $165,000-$210,000 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 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 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.

Scale is at the forefront of enabling Machine Learning across multiple industries by improving the world's leading Generative AI and Large Language Models. We are building the Generative AI Data Engine to push the boundaries of model development. We do this via human-powered datasets, world-class Reinforcement Learning with Human Feedback (RLHF), model evaluation and more. We build products for AI research teams training models and the world's largest marketplace of human intelligence. We are looking for a Fraud Product Manager to build and enhance our fraud prevention systems, ensuring a high-integrity platform for our experts and customers. This role is critical in maintaining the trust and reliability of our platform by preventing fraudulent activities and ensuring compliance with industry standards. You will work closely with cross-functional teams to develop innovative solutions that safeguard our platform.This position reports to our Director of Product, Kate Park. You will: Build a robust anti-fraud system to protect the world's largest marketplace for human intelligence. Develop and enhance fraud detection and prevention features, leveraging AI and machine learning Own end-to-end product development by understanding customer pain points, defining product requirements, managing development, testing, and launching products Work with exec leaders to determine and execute the product strategy of the business Must be able to commute to the San Francisco or NYC Office 3x weekly. Ideally, you'd have: Strong background in fraud detection, risk management, and product development. You will work closely with cross-functional teams, including engineering, data science, and compliance, to build and enhance our fraud prevention capabilities. Technical degree in computer science, engineering, or related field Excellent communication and presentation skills Excitement to work with AI technologies Experience with products leveraging AI is a plus Working knowledge of SQL and some coding skills (Python) 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: $188,000 $225,600 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 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 accommodationsscale.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. 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. Minimum Salary: 188000.00 Maximum Salary: 225600.00 Salary Unit: Yearly

Scale is at the forefront of enabling Machine Learning across multiple industries by improving the world's leading Generative AI and Large Language Models. We are building the Generative AI Data Engine to push the boundaries of model development. We do this via human-powered datasets, world-class Reinforcement Learning with Human Feedback (RLHF), model evaluation and more. We build products for AI research teams training models and the world's largest marketplace of human intelligence. We are looking for a Fraud Product Manager to build and enhance our fraud prevention systems, ensuring a high-integrity platform for our experts and customers. This role is critical in maintaining the trust and reliability of our platform by preventing fraudulent activities and ensuring compliance with industry standards. You will work closely with cross-functional teams to develop innovative solutions that safeguard our platform. This position reports to our General Manager, Xiaote Zhu. You will: <ul><li>Build a robust anti-fraud system to protect the world's largest marketplace for human intelligence.</li><li>Develop and enhance fraud detection and prevention features, leveraging AI and machine learning</li><li>Own end-to-end product development by understanding customer pain points, defining product requirements, managing development, testing, and launching products</li><li>Work with exec leaders to determine and execute the product strategy of the business</li></ul> Must be able to commute to the San Francisco or NYC Office 3x weekly. Ideally, you'd have: <ul><li>Strong background in fraud detection, risk management, and product development. You will work closely with cross-functional teams, including engineering, data science, and compliance, to build and enhance our fraud prevention capabilities.</li><li>Technical degree in computer science, engineering, or related field</li><li>Excellent communication and presentation skills</li><li>Excitement to work with AI technologies</li><li>Experience with products leveraging AI is a plus</li><li>Working knowledge of SQL and some coding skills (Python)</li></ul> 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: $188,000-$220,000 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 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 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.

Scale is at the forefront of enabling Machine Learning across multiple industries by improving the world's leading Generative AI and Large Language Models.
We are building the Generative AI Data Engine to push the boundaries of model development. We do this via human-powered datasets, world-class Reinforcement Learning with Human Feedback (RLHF), model evaluation and more. We build products for AI research teams training models and the world's largest network of human expertise for the benefits of AI advancement.
We're looking for a Technical Product Manager to own key components of the Data Engine platform such that we can achieve the most optimal data quality while balancing contributor experience and operations efficiency.
You will:
<ul>
<li>Build the products that will allow the world's leading AI labs to build their training datasets</li>
<li>Work with exec leaders to determine and execute the product and operational strategy of the business</li>
<li>Drive key operational changes to achieve more consistent, high-quality data with faster turnaround times and higher efficiency.</li>
</ul>
<ul>
<li>Own end-to-end product development by understanding the key factors for data quality, defining product requirements, managing development and building necessary processes to operationalize the product</li>
<li>Lead cross-functional teams including engineering, design, content and operations</li>
</ul>
Must be able to commute to the San Francisco Office 3x weekly.
Ideally, you'd have:
<ul>
<li>Technical degree in computer science, engineering, or related field</li>
<li>4+ years of experience in building products</li>
<li>Experience operating in a fast-paced environment with ambiguity</li>
<li>Working knowledge of SQL and some coding skills (Python)</li>
<li>Excellent communication and presentation skills</li>
<li>Passion for solving complex challenges and building efficient systems</li>
</ul> 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: $165,000—$210,000 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 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 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.

Scale is at the forefront of enabling Machine Learning across multiple industries including Generative AI and self-driving cars. Strategic Product Managers work closely with Strategic Product Managers and other cross-functional stakeholders to drive technical partnership with leading researchers and machine-learning engineers, building actionable competitive and market insights, as well as executing on data strategies that will advance the development of ML models. As a Strategic Product Manager, you will work with a Strategic Product Manager on Scale's most important customers and their leading researchers to push the boundaries of ML models and influence both internal and external roadmaps. This will generally involve a combination of analytical, go-to-market, technical stakeholder management, product management, and operations work. The ideal candidate has a strong entrepreneurial mindset and is comfortable getting in front of technical stakeholders to drive "must-win" outcomes. You will: <ul><li>Work on cross-functional initiatives with diverse stakeholders to develop new products or enhance existing ones to fulfill the needs of strategic customer needs (Engineering + Ops + Go to Market).</li><li>Develop actionable insights from competitive, market, and data intelligence.</li><li>Experiment and develop frontier data sets that push the boundaries of ML model development.</li></ul> Ideally, you'd have: <ul><li>3+ years of experience in a technical role.</li><li>Experience reading and writing SQL and other database languages; ability to draw actionable insights from data analysis.</li><li>Excited to do intense, high-impact work (you should be prepared to work long weeks when necessary).</li><li>Entrepreneurial experience and mindset - you are excited about building things from scratch.</li><li>Strong software engineering background (a degree in computer science or equivalent experience) - the role will involve some coding, and you should be prepared for that.</li><li>Ability to solve difficult problems in high-stakes environments. This will usually involve getting into the weeds to ensure the success of "must-win" projects.</li></ul> The base salary range for this full-time position in our hub location of San Francisco is $140,000 - $168,000. Compensation packages at Scale 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. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Scale employees are also granted Stock Options that are awarded upon board of director approval. 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. 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: $164,000-$196,800 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 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 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.

Product Manager Scale Ai Jobs

Growth Product Manager Generative Ai
December 11, 2024

Technical Product Manager
December 1, 2024

Technical Product Manager
November 29, 2024

Fraud Product Manager Generative Ai
November 29, 2024

Fraud Product Manager Generative Ai
November 28, 2024

Technical Product Manager
November 26, 2024

Strategic Product Manager
November 23, 2024

Quick filters

Top companies

Product Manager Scale Ai Jobs

Growth Product Manager Generative AiDecember 11, 2024

Technical Product ManagerDecember 1, 2024

Technical Product ManagerNovember 29, 2024

Fraud Product Manager Generative AiNovember 29, 2024

Fraud Product Manager Generative AiNovember 28, 2024

Technical Product ManagerNovember 26, 2024

Strategic Product ManagerNovember 23, 2024