Product Manager, Scale AI
Contributor, Pay & Incentives
$164.8-197.8k
+ Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval
Training and validation data for AI applications
Job no longer available
Training and validation data for AI applications
1001+ employees
Job no longer available
$164.8-197.8k
+ Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval
1001+ employees
Company mission
To develop reliable AI systems for the world's most important decisions.
Role
Who you are
- 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
Desirable
- 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,
- Bachelor’s or advanced degree in a quantitative, engineering, or related discipline, with strong comfort in engaging deeply with technical and data-driven problem spaces
What the job involves
- 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
- 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
Our take
When training AI models, lack of access to large scale, high quality, labelled data is often the barrier preventing machine learning teams from building something great. In fact, labelled data is even more essential than the algorithms themselves. Scale AI is solving this by providing easy access through developer APIs to a huge variety of labelled data sets covering a large range of areas within computer vision and natural language processing.
It seems that almost every company now is offering artificial intelligence enabled products to automate every aspect of our lives. So, by positioning themselves as the go-to source for high quality tagged data, Scale AI is in an excellent position as the AI sector continues it's exponential growth.
With innovative AI projects across a range of sectors including retail, energy, and healthcare, Scale AI is now a leader in the industry alongside OpenAI. It continues to forge partnerships with fintech tools and software engine developers such as Brex and Luminar to continue its evolution of digital markets.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 7 rounds)
May 2024
$1bn
SERIES F
Apr 2021
$325m
SERIES E
Total funding: $1.6bn
Company benefits
- Health & Wellbeing: Our holistic approach to supporting Scaliens includes comprehensive health coverage, dental and vision insurance, mental healthcare services, and more. PTO policies and accommodating schedules ensure you’ll get time off when you need it to relax and recharge. Note that our offerings may vary by region as we strive to respond to the unique needs of Scaliens around the globe.
- Personal & Career Growth: Continuously learn and grow through annual learning & development stipend, attending leadership breakfasts, manager training, speaker series, and joining an ERG.
- Building Scale Community: We welcome guests to our offices, and you can expect to see Scalien families and friends around. Join local happy hours, and accept invites to game nights, book clubs, and many other employee-led community events.
- Parental Support: Balancing work and family is essential, and Scale understands the importance of having adequate leave policies in place to promote a healthy home and work life.
Company HQ
Rincon Hill, San Francisco, CA
Leadership
Alexandr Wang
(Founder & CEO)Previously, Alexandr was an Algorithm Developer at Hudson River Trading, a Tech Lead and Quora and a Software Engineer at Addepar.
Salary benchmarks
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