Enterprise Account Executive - East Coast

Clockwork Systems was founded by Stanford researchers and veteran systems engineers who share a vision for redefining the foundations of distributed computing. As AI workloads grow increasingly complex, traditional infrastructure struggles to meet the demands of performance, reliability, and precise coordination. Clockwork is pioneering a software-driven approach to AI fabrics by delivering cross-stack observability to catch and quickly resolve problems, workload fault tolerance to keep jobs running through failures, and performance acceleration that dynamically routes and paces traffic to avoid congestion.

We are seeking a high-performing, technically adept Enterprise Account Executive based in New York to drive revenue and strategic customer adoption across the East Coast. This is a unique opportunity to join an early-stage, high-growth company building foundational infrastructure for AI/ML systems.

The ideal candidate has experience selling complex infrastructure or platform technologies into large enterprises, thrives in highly technical sales environments, and is excited to help shape Clockwork’s enterprise go-to-market strategy alongside founders and product leadership.

• →Own and manage the full enterprise sales cycle across East Coast accounts, from prospecting through close
• →Build and execute strategic account plans targeting large enterprises, AI-first organizations, and cloud-scale infrastructure teams
• →Engage deeply with technical buyers (engineering, platform, infrastructure, and data teams) as well as senior business stakeholders
• →Lead complex sales processes involving multiple stakeholders, long deal cycles, and high-value contracts
• →Partner closely with Sales Engineering, Product, Marketing, and Founders to refine messaging, positioning, and customer feedback loops
• →Navigate sophisticated technical discussions around deterministic time, synchronization accuracy, AI workload reliability, and distributed system performance
• →Represent Clockwork at industry events, executive briefings, and AI/ML or infrastructure-focused conferences

• Proven experience selling infrastructure, platform, or deep technical solutions to large enterprise customers
• Strong understanding of modern cloud-native and distributed architectures (e.g., public cloud, Kubernetes, observability, data infrastructure)
• Familiarity with AI/ML infrastructure, high-performance computing, or networking technologies is a strong plus
• Experience selling to engineering-led organizations and working closely with technical teams
• Consistent track record of meeting or exceeding quota in competitive enterprise sales environments
• Ability to articulate complex technical value to both technical and executive-level audiences
• Comfortable operating in an early-stage startup environment with ambiguity and high ownership
• Experience selling infrastructure solutions (storage, networking, compute) and familiarity with the GPU cloud landscape, including hyperscalers and NeoClouds. Background in infrastructure-driven, AI-focused environments is strongly desired.
• Passion for building something foundational and making a meaningful impact