Scale AI, Inc.
Marketplace Product Manager, Generative AI
Scale AI, Inc., San Francisco, California, United States, 94199
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:
Build the world's largest marketplace for human intelligence
Grow the workforce (creative writers, physics PhD's, coders etc) that will train many of the defining AI products of our time
Materialize a new profession with high paying (often $40+/hour), flexible work for tens of thousands of people around the world
Create a high integrity (anti-fraud) expert platform
Own end-to-end product development by understanding customer pain points, defining product requirements, managing development, testing, and launching products
Lead cross-functional teams including engineering, product design, operations, marketing, go-to-market, and finance
Work with exec leaders to determine and execute the product strategy of the business
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
Experience scaling and growth hacking consumer bases at hyper-growth startups
4+ years of experience in product management or software development and extremely strong track record
Excellent communication and presentation skills
Excitement to work with AI technologies
Experience with products leveraging AI is a plus
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:
$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.
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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:
Build the world's largest marketplace for human intelligence
Grow the workforce (creative writers, physics PhD's, coders etc) that will train many of the defining AI products of our time
Materialize a new profession with high paying (often $40+/hour), flexible work for tens of thousands of people around the world
Create a high integrity (anti-fraud) expert platform
Own end-to-end product development by understanding customer pain points, defining product requirements, managing development, testing, and launching products
Lead cross-functional teams including engineering, product design, operations, marketing, go-to-market, and finance
Work with exec leaders to determine and execute the product strategy of the business
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
Experience scaling and growth hacking consumer bases at hyper-growth startups
4+ years of experience in product management or software development and extremely strong track record
Excellent communication and presentation skills
Excitement to work with AI technologies
Experience with products leveraging AI is a plus
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:
$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.
#J-18808-Ljbffr