Full-Time
Senior Account Executive
Clockwork Systems
1-10 employees
Advanced clock synchronization for distributed systems
No salary listed
London, UK
In Person
 Sales & Account Management (1) |
|---|
Get referred to Clockwork Systems
See people who can refer or advise you
- Experience selling infrastructure solutions to large enterprises to technical buyers and senior decision makers.
- Strong understanding of modern cloud-native architectures, including cloud and Kubernetes, observability, and data infrastructure.
- Knowledge of or deep familiarity with artificial intelligence and machine-learning infrastructure.
- Prior experience working with engineering or data science teams.
- A track record of meeting or exceeding quota in a competitive technical sales environment.
- Ability to manage complex sales processes and communicate value to technical and business stakeholders.
- Experience selling infrastructure solutions such as storage, networking, or compute, with familiarity with the GPU cloud landscape, including hyperscalers and NeoClouds.
- Proven experience building and scaling the European market from the ground up, including opening new territories and establishing early customer traction.
- Own and manage the end-to-end sales cycle for the United Kingdom and Europe.
- Own the full sales cycle from prospecting to close, targeting high-growth artificial intelligence and infrastructure teams.
- Develop and execute strategic account plans for cloud-native and enterprise customers.
- Partner closely with Sales Engineering, Product, and Founders to shape go-to-market messaging and feedback loops.
- Navigate technical conversations around synchronization accuracy, AI workload reliability, and distributed system performance.
- Represent Clockwork at industry events, AI/ML conferences, and customer briefings.
- Startup experience.
- Experience selling into the United Kingdom and Europe.
- Background in infrastructure-driven, AI-focused environments.
- Bi-lingual or multi-lingual ability.
Clockwork Systems provides clock synchronization technology for mission-critical distributed systems, ensuring precise timing across operations. Its solutions run in both cloud and on-premises environments and are delivered through software licensing, subscriptions, and professional services. The company differentiates itself with deep timing expertise and end-to-end timing across networks, framed by tools like Latency Sensei for cloud latency monitoring. Its goal is to help customers achieve reliable, accurate synchronization to boost performance and reduce timing-related issues in time-sensitive applications.
Company Size
1-10
Company Stage
Early VC
Total Funding
$41.6M
Headquarters
Palo Alto, California
Founded
2018
Get referred to Clockwork Systems
See people who can refer or advise you
Simplify's Take
What believers are saying
- Clockwork raised $20.6M in September 2025, extending runway for product expansion.
- Oracle Cloud marketplace availability and AWS private beta broaden distribution beyond early adopters.
- Customer proof from Uber, eBay, Wells Fargo, and RBC supports enterprise credibility.
What critics are saying
- NVIDIA, hyperscalers, and networking vendors can bundle adjacent observability and resilience features by 2027.
- Enterprise buyers will scrutinize YOCO credits after any migration shortfall, pressuring renewals.
- If FleetIQ and TorchPass fail to create durable demand, Clockwork remains a niche timing vendor.
What makes Clockwork Systems unique
- Clockwork sells software-only timing and fault-tolerance across cloud, on-prem, and hybrid clusters.
- Its 2025-2026 stack combines Latency Sensei, Cloud Deluxe, FleetIQ, and TorchPass.
- YOCO contracts promise 90% failure recovery with no lost training progress or recompute.
Help us improve and share your feedback! Did you find this helpful?
Benefits
Competitive Salary
Company News
Clockwork.io has launched TorchPass Workload Fault Tolerance, a software solution that eliminates costly GPU training failures through Live GPU Migration technology. The system allows AI training workloads to continue running through hardware failures, network disruptions and node crashes without requiring checkpoint restarts. The company claims TorchPass can save over $6 million annually in a typical 2,048-GPU deployment by reducing wasted training progress by 95%. In large clusters, it cuts lost time from approximately three hours per day to under ten minutes. Independent testing by SemiAnalysis found TorchPass delivered faster fault-tolerant performance than standard checkpoint-restart approaches and higher Model FLOPs Utilisation than leading open-source alternatives. The solution typically completes recovery in approximately three minutes whilst training continues uninterrupted. TorchPass is now available as part of Clockwork.io's FleetIQ platform.
Clockwork Raises $20.57 Million in Funding
Stanford spinout Clockwork has raised $20.6 million, led by NEA with participation from notable investors, to address AI's GPU inefficiency. The funding coincides with the launch of FleetIQ, a software solution aimed at enhancing GPU performance by improving communication between GPUs, clusters, and clouds. This innovation seeks to reduce crashes, shorten restarts, and increase utilization rates, making AI infrastructure more efficient and sustainable.