About the Role:
- Scale operates a global marketplace for talent working with Contributors in over 100 countries.
- Understand the cost efficiency and quality for different payment structures - pay by hour pay by task etc. to ensure pay transparency fairness and predictability
- This is a highly cross functional role that will involve working with:
- Dedicated Eng design and data science staffing PMs across the org
- Growth Payment operations and delivery operations for each new project launched
- Support for issues that come up
You will:
- Understand our business customer experience and ecosystem position
- Set the product strategy for the Pay team
- Develop and execute a data-driven contributor-focused product roadmap through close collaboration with senior leadership Operations Data Science Analytics Design and Engineering while balancing business needs.
- Translate customer and internal-user needs into clear well-defined functional and technical requirements backed by data analysis and deep understanding of our users
- Guide and interface closely with data analysts and engineering teams to define scope review and refine technical capabilities prioritize projects for release and define new opportunities.
- Build long-term instrumentation monitoring and evaluation capabilities for product performance tracking and to create product insights.
- Establish business cases and projected return on investment to identify and prioritize opportunities
- Partner with Finance and Business Leaders to manage the impact on the profitability of the overall business.
Ideally youd have:
- 5-8 years of experience in Product Management in the tech industry
- Excellent communication and stakeholder management skills capable of influencing across technical and non-technical audiences to drive strategic outcomes.
- Strong business acumen and analytical experience with demonstrated success in defining emerging or ambiguous user behaviors and driving continuous iteration in high-uncertainty environments.
- Nice-to-have:
- Strong understanding of the AI market and willingness to stay at the cutting edge. Deep understanding of modelling workflows including data labeling model training inference and deployment with the ability to translate technical concepts into actionable product strategies.
- Experience building products from the ground up seeing them through the scaling journey
- Experienced in building scalable decision systems partnering cross-functionally with policy
- Bachelors or advanced degree in a quantitative engineering or related discipline with strong comfort in engaging deeply with technical and data-driven problem spaces.
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. Youll 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 postings 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:
$164800 - $197760 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 our mission is to develop reliable AI systems for the worlds most important decisions. Our products provide the high-quality data and full-stack technologies that power the worlds leading models and help enterprises and governments build deploy and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta Cisco DLA Piper Mayo Clinic Time Inc. the Government of Qatar and U.S. government agencies including the Army and Air Force. 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 Please see the United States Department of Labors Know Your Rights poster for additional information.
We comply with the United States Department of Labors 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 for additional information.
Required Experience:
IC
About the Role:Scale operates a global marketplace for talent working with Contributors in over 100 countries.Understand the cost efficiency and quality for different payment structures - pay by hour pay by task etc. to ensure pay transparency fairness and predictabilityThis is a highly cross functi...
About the Role:
- Scale operates a global marketplace for talent working with Contributors in over 100 countries.
- Understand the cost efficiency and quality for different payment structures - pay by hour pay by task etc. to ensure pay transparency fairness and predictability
- This is a highly cross functional role that will involve working with:
- Dedicated Eng design and data science staffing PMs across the org
- Growth Payment operations and delivery operations for each new project launched
- Support for issues that come up
You will:
- Understand our business customer experience and ecosystem position
- Set the product strategy for the Pay team
- Develop and execute a data-driven contributor-focused product roadmap through close collaboration with senior leadership Operations Data Science Analytics Design and Engineering while balancing business needs.
- Translate customer and internal-user needs into clear well-defined functional and technical requirements backed by data analysis and deep understanding of our users
- Guide and interface closely with data analysts and engineering teams to define scope review and refine technical capabilities prioritize projects for release and define new opportunities.
- Build long-term instrumentation monitoring and evaluation capabilities for product performance tracking and to create product insights.
- Establish business cases and projected return on investment to identify and prioritize opportunities
- Partner with Finance and Business Leaders to manage the impact on the profitability of the overall business.
Ideally youd have:
- 5-8 years of experience in Product Management in the tech industry
- Excellent communication and stakeholder management skills capable of influencing across technical and non-technical audiences to drive strategic outcomes.
- Strong business acumen and analytical experience with demonstrated success in defining emerging or ambiguous user behaviors and driving continuous iteration in high-uncertainty environments.
- Nice-to-have:
- Strong understanding of the AI market and willingness to stay at the cutting edge. Deep understanding of modelling workflows including data labeling model training inference and deployment with the ability to translate technical concepts into actionable product strategies.
- Experience building products from the ground up seeing them through the scaling journey
- Experienced in building scalable decision systems partnering cross-functionally with policy
- Bachelors or advanced degree in a quantitative engineering or related discipline with strong comfort in engaging deeply with technical and data-driven problem spaces.
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. Youll 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 postings 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:
$164800 - $197760 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 our mission is to develop reliable AI systems for the worlds most important decisions. Our products provide the high-quality data and full-stack technologies that power the worlds leading models and help enterprises and governments build deploy and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta Cisco DLA Piper Mayo Clinic Time Inc. the Government of Qatar and U.S. government agencies including the Army and Air Force. 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 Please see the United States Department of Labors Know Your Rights poster for additional information.
We comply with the United States Department of Labors 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 for additional information.
Required Experience:
IC
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