| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
OKX | San Jose, CA, United States | $112k - $150k | |||
Coinbase | Remote | $185k | |||
Coinbase | Remote | $149k | |||
Coinmarketcap | Remote | $106k - $165k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Hyphen Connect Limited | New York, NY, United States | $81k - $102k | |||
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Circle - Referrals | Remote | $147k - $195k | |||
Web3 Recruit | Remote | $180k - $200k | |||
Coinbase | Remote | $112k - $150k | |||
Circle | Washington, United States | $147k - $195k | |||
Coinbase | Remote | $149k | |||
Coinbase | Remote | $126k - $127k | |||
Coinbase | Remote | $180k - $212k | |||
Bitso | Latin America | $105k - $108k | |||
Trustana | New York, NY, United States | $82k - $106k |
This job is closed
Who We Are
About the Opportunity:
What You'll Be Doing:
- Take the lead in developing and managing our Decision Intelligence Platform, collaborating closely with cross-functional teams comprising data scientists, analysts, engineers, and stakeholders.
- Create and communicate a well-defined product roadmap, outlining important milestones, timelines, and deliverables.
- Work closely with stakeholders to gather feedback, understand user requirements, and incorporate insights into product enhancements and iterations.
- Define and track key product metrics, assess performance against goals, and make data-informed decisions to optimize product effectiveness and drive continuous improvement.
What We Look For In You:
- A minimum of 8 years of hands-on experience in product management or related roles, with a strong emphasis on machine learning or data-driven decision-making platforms. Additionally, a minimum of 2 years of experience in people management is required.
- Possess a solid technical background in machine learning, decision-making systems, feature store model service and training, enabling effective collaboration with data scientists, analysts, ops and engineers.
- Have a very strong sense of business, responsible for exploring business integration possibility among all stakeholders
- Demonstrated expertise in defining product roadmaps, prioritizing features, and successfully delivering market-ready products.
- Exceptional problem-solving skills, with the ability to analyze complex challenges, generate innovative solutions, and make well-informed decisions.
- Strong leadership abilities, capable of motivating and inspiring teams to achieve objectives and goals.
Nice to Have:
- Bachelor's degree in Computer Science, Engineering, or a related technical discipline
- Passion for Bitcoin, crypto, Defi and blockchain technology
- Fluent in Mandarin and English
Perks & Benefits
- Competitive total compensation package
- L&D programs and Education subsidy for employees' growth and development
- Various team building programs and company events
- Wellness and meal allowances
- Comprehensive healthcare schemes for employees and dependants
- More that we love to tell you along the process!
OKX Statement:
#LI-HYBRID#LI-HYBRID
Is machine learning a good career?
Yes, machine learning is a rapidly growing field and can be a very promising career option for those interested in it
As businesses and industries increasingly rely on data to drive decision-making, there is a growing need for skilled professionals who can analyze and make sense of this data
Machine learning, which involves developing algorithms that can learn from and make predictions on large datasets, is a crucial part of this process
Machine learning careers can range from data analysts, machine learning engineers, data scientists, and more
These professionals work in a variety of industries, including finance, healthcare, e-commerce, and technology
The demand for machine learning experts is high, and the salaries in this field are also generally quite competitive
However, it's important to note that machine learning can be a complex field that requires a strong background in mathematics, statistics, and computer science
It also requires ongoing learning and staying up-to-date with the latest developments and tools in the field
If you enjoy working with data, have a strong interest in programming, and are willing to put in the effort to stay current with developments, a career in machine learning can be very rewarding.