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
Be an early applicant
Training and validation data for AI applications
1001+ employees
Be an early applicant
$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 accelerate the development of AI applications.
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. 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, Dental & Vision Coverage: Our health plans give you the flexibility to select the right coverage for you and eligible family members through a variety of plan options
- Easy to use 401(K): Plan and invest for the future with a 401(k) via Guideline. Scale’s 401(k) plan provides you an opportunity to defer compensation for your long-term savings
- Wellness Fund: We care about the physical, mental, and emotional wellbeing of all Scaliens. Our $100/month wellness stipend can be used for gym memberships, acupuncture, meditation apps, and so much more
- Virtual Social Activities: Being remote has not stopped us from hosting fun virtual events. From trivia night to candle making, we ensure employees are fostering connections & building strong relationships
- Learning & Development: We know how important career growth is for Scaliens, so we offer a $500/year L&D stipend to help support continued development throughout your journey
- Flexible Work Hours: Flexible hours allow you to work when you are most productive. You can work with your manager to best plan your daily work schedule
- Generous Paid Time Off: Enjoy time to travel or plan a staycation. We encourage employees to take time off to recharge and prevent burnout. We have a flexible PTO policy where each employee is afforded the flexibility to take planned time-off as needed
- Commuter Benefits: Set aside pre-tax dollars to use on qualified transportation expenses to help ease your commute
- Parental Leave: 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
Alexander Wang
(CEO)Dropped out of a bachelors degree at MiT in Computer Science and Mathematics. Previously worked for 2 years as a Software Engineer and Algorithm Developer in the finance industry and 2 years as a Tech Lead at Quora. Youngest founder funded by Accel as a teenager.
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