| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Overclock Labs | Austin, TX, United States | $100k - $110k | |||
Genies | Remote | $90k - $118k | |||
Zscaler | Remote | $126k - $127k | |||
Whatnot | New York, NY, United States | $180k - $285k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Coinbase | Remote | $126k - $127k | |||
Zinnia | Remote | $126k - $131k | |||
Immunefi | Remote | $126k - $127k | |||
Zscaler | Remote | $122k - $127k | |||
Zinnia | Remote | $126k - $131k | |||
Inmobi | Remote | $122k - $150k | |||
Coinbase | Remote | $180k - $212k | |||
Zscaler | Remote | $147k - $210k | |||
Coinbase | Remote | $186k - $218k | |||
Coinbase | Remote | $191k | |||
CEF ai | San Francisco, CA, United States | $80k - $250k |
Account Executive – GPU Cloud Infrastructure (AI/ML Focus)
What You Will Do:
- Own and convert qualified inbound leads (>$5K/month GPU renters)
- Identify and prospect high-potential AI/ML companies for outbound outreach
- Build and manage a pipeline of opportunities from first touch to close
- Run discovery calls, product demos, and coordinate onboarding
- Collaborate with the growth, partnerships, and technical teams to align efforts
- Provide feedback to inform go-to-market strategy, pricing, and positioning
- Track activity and performance metrics using CRM tools
What we are looking for:
- 3–5+ years of B2B sales experience, ideally in cloud, AI/ML, or DevInfra
- Proven success closing mid- to high-value accounts ($5K+/mo deals)
- Strong understanding of cloud infrastructure, GPUs, and AI workloads
- Comfortable running outbound campaigns and owning revenue targets
- Startup-minded: self-driven, scrappy, and highly adaptable
- Excellent communication and relationship-building skills
Why Overclock Labs:
- Shape the future of decentralized cloud and democratized compute
- Work at the intersection of AI and Web3 innovation
- Competitive base salary with uncapped commissions
- Remote-first culture with a high-performance, collaborative team
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.