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 an Associate Product Manager - New Grad to build intuitive ML-assisted tooling for generating human data, data quality measurement platforms, and delightful AI researcher-facing products.

As an APM, you will:
<ul>
<li>Lead product initiatives across engineering, design, marketing, and go-to-market that will allow the world's leading AI labs to build their training datasets</li>
<li>Own end-to-end product development by understanding customer pain points, defining product requirements, managing development and testing, and launches</li>
<li>Have direct impact over $XX millions in revenue</li>
</ul>

Requirements:
<ul>
<li>A graduation date in Fall 2024 or Spring 2025 with a Bachelor's degree (or equivalent) in a relevant field (Computer Science, EECS, Computer Engineering, Statistics)</li>
<li>Prior PM/SWE/ML internship experience where you have demonstrated strong ownership, a knack for leadership, and strategic problem-solving</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>Must be able to commute to the San Francisco Office 3x weekly.</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: $124,000—$148,800 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.

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 an AI Product Manager to build intuitive ML-assisted tooling for generating human data, data quality measurement platforms, and delightful AI researcher-facing product.
This position reports to our Director of Product, Kate Park.
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 top researchers across the industry to help them improve the performance of their models</li>
<li>Work with exec leaders to determine and execute the product strategy of the business</li>
</ul>
<ul>
<li>Own end-to-end product development by understanding customer painpoints, defining product requirements, managing development and testing, and launches</li>
<li>Lead cross-functional teams including engineering, product design, operations, marketing, go-to-market and finance</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>6+ years of experience in building ML-powered 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>
</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. The base salary range for this full-time position in the location of San Francisco 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 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.

We're looking for a Pay Product Manager to build and enhance our pay system, ensuring a robust, accurate, and on-time platform for our experts. This role is critical in maintaining the trust and reliability of our platform by incentivizing experts with fair, competitive pay that encourages high-quality and efficient work. You will work closely with cross-functional teams to develop solutions that safeguard our platform and grow our workforce. You will: <ul> <li>Experience building a system of records that handles money and operates under regulation. </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>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 executive leaders to determine and execute the product strategy of the business. </li><li>Must be able to commute to the San Francisco office 3x weekly. </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. The base salary range for this full-time position in the location of San Francisco 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 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.

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Product Manager Scale Ai Jobs

Associate Product Manager New GradAugust 30, 2024

Staff Ai Product Manager Generative AiAugust 28, 2024

Staff Pay Product Manager Generative AiAugust 26, 2024