Sales Web3 Jobs in Austin, Texas, United States
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Overclock Labs
Account Executive – GPU Cloud Infrastructure (AI/ML Focus)
Austin, Texas
Marketing /
Full-time /
Remote
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Akash Network is the world’s first open-source, decentralized cloud—built for the high-demand workloads of AI and machine learning. We connect GPU providers with users seeking affordable, scalable compute infrastructure—without the constraints of centralized cloud pricing and capacity.
As AI companies scale rapidly, Akash offers a cost-effective, performant, and open alternative to traditional cloud platforms. We’re growing fast and looking for a high-performing Sales Representative to help drive this next phase.
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
$100,000 - $110,000 a year
This role has uncapped commission.
Ready to drive the future of cloud infrastructure? Apply now and help leading AI companies access the compute they need—at a fraction of the cost.
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