Job Position | Company | Posted | Location | Salary | Tags |
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Ripple | New York, NY, United States | $61k - $80k | |||
ZORA | Remote | $98k - $156k | |||
TipTop | Remote | $165k - $260k | |||
Waivlength | Remote | $140k - $180k | |||
Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Next Big Thing AG | Berlin, Germany |
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Foundry | New York, NY, United States | $61k - $80k | |||
Next Big Thing AG | Berlin, Germany |
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Ripple | San Francisco, CA, United States | $45k - $100k | |||
Next Big Thing AG | Berlin, Germany |
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Next Big Thing AG | Berlin, Germany |
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Next Big Thing AG | Berlin, Germany |
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Next Big Thing AG | Berlin, Germany |
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Figure | San Francisco, CA, United States | $98k - $156k | |||
Next Big Thing | Berlin, Germany |
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Hivemapper | San Francisco, CA, United States | $72k - $100k |
This job is closed
We are looking for a Product Manager to join our team charged with determining and delivering optimal liquidity for every customer in the world in a cost-effective, robust and scalable manner. From forecasting supply and demand, to optimizing routing across traditional and digital assets and venues, to enabling price discovery for the long-tail of crypto assets and tokens, to building a globally distributed, highly performant trading platform, our team leverage’s cutting-edge machine learning and engineering techniques to dramatically simplify access to liquidity. You will be responsible for building out our machine learning platform, partnering closely with our applied scientists and machine learning engineers to ensure we have a robust, scalable, and compliant platform. Successful candidates must have a technical and product background, with a strong understanding of machine learning algorithms and systems for managing the full model lifecycle. In this role you will:
- Define product requirements and manage delivery of core capabilities for our machine learning platform and related services
- Define key performance metrics to measure success of automation and machine learning activities
- Set a high bar of technical excellence, building solutions that are self-healing, robust and reliable
- Intake, prioritize and manage the backlog for multiple products and stakeholders
- Manage working relationships across multiple liquidity engineering and product teams that rely on this platform to deliver for our customers
- Lead the full cycle of product development and rollout — from requirements gathering and prioritization, to design and oversight of implementation
WHAT WE’RE LOOKING FOR:
- 5+ years of experience in product management, with 2+ years of experience with machine learning algorithms, systems and services that power global-scale products
- Ability to concisely articulate complex concepts to both technical and non-technical audiences in both written and verbal contexts
- Experience partnering with engineering teams to establish a shared vision, and then delivering incrementally without sacrificing long-term thinking
- Nice to haves:
- Prior experience working at a cryptocurrency company or general familiarity with crypto/ blockchain
- Prior experience working at a fintech, payments, or trading company
- Prior experience with Deep Learning, Forecasting
WHAT WE OFFER:
- The chance to work in a fast-paced start-up environment with experienced industry leaders
- A learning environment where you can dive deep into the latest technologies and make an impact
- Competitive salary and equity
- 100% paid medical and dental and 95% paid vision insurance for employees starting on your first day
- 401k (with match), commuter benefits
- Industry-leading parental leave policies
- Generous wellness reimbursement and weekly onsite programs
- Flexible vacation policy - work with your manager to take time off when you need it
- Employee giving donation match
- Fully-stocked kitchen with organic snacks, beverages and coffee drinks
- Weekly company meeting - ask me anything >
- Team outings to sports games, happy hours, game nights and more!
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.