Clockwork Systems, Inc.

About the Company

Clockwork is the Software-Driven Fabric company for AI and high-performance workloads. Its FleetIQ intelligence layer addresses AI's core scaling bottleneck: communication between GPUs, clusters, and clouds. Positioned between workloads and infrastructure, FleetIQ observes, predicts, and controls in real time-maximizing GPU utilization and accelerating job completion. Delivered in pure software across heterogeneous networks, it transforms communication from the weakest link into a unified control plane that classifies flows by intent, steers around hot paths, and paces traffic to protect priority work-unlocking dramatically higher utilization. By turning idle silicon into productive intelligence, Clockwork enables enterprises, neoclouds, and hyperscalers to do more with the same GPUs-making AI faster, reliable, efficient, and sustainable. Companies including Uber, Wells Fargo, DCAI, Nebius, Nscale, and White Fiber trust Clockwork to power their most demanding workloads. Learn more at www.clockwork.io.

Listed Jobs

Company Name

Clockwork Systems, Inc.

Job Title

Senior Solutions Engineer

Job Description

**Job Title:** Senior Solutions Engineer **Role Summary:** Technical pre‑sales professional who partners with sales to understand customer requirements, design and prototype AI networking solutions, conduct proof‑of‑concepts, and drive complex software deployments. Acts as a technical advisor, delivering presentations, workshops, and product feedback while staying current on AI networking, Kubernetes, and cloud trends. **Expectations:** - Leverage deep cloud and AI infrastructure knowledge to influence sales cycles and close deals. - Deliver high‑quality technical demos and PoCs that validate solution value. - Communicate effectively with senior technical and business stakeholders. - Contribute to product roadmap through feedback and identified improvement opportunities. - Represent the company at industry events and travel as needed. **Key Responsibilities:** - Engage customers to capture business and technical requirements; design tailored solutions. - Lead PoC evaluations, install, configure, and troubleshoot deployments in customer environments. - Provide technical leadership in meetings, presentations, and workshops; address queries and objections. - Collaborate with sales to advance opportunities from qualification through closure. - Work with product and engineering teams to relay customer feedback and suggest enhancements. - Produce technical documentation, demos, and proof‑of‑concept artifacts. - Stay updated on AI networking, Kubernetes, cloud platforms, and GPU technologies; share insights internally and externally. **Required Skills:** - 5+ years in solutions architecture or engineering, preferably in cloud/AI infrastructure. - Proven pre‑sales experience with PoCs and stakeholder engagement. - Hands‑on expertise with AWS, GCP, Azure, or OCI. - Strong knowledge of Kubernetes, container orchestration, and GPU infrastructure. - Deep understanding of networking protocols and concepts. - Proficiency in Python, SQL, and Linux; familiarity with Go, C/C++, Java a plus. - Excellent verbal and written communication; strong relationship‑building and customer‑centric mindset. - Ability to diagnose and resolve complex technical issues. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field (or equivalent experience). - Relevant certifications (e.g., AWS Certified Solutions Architect, GCP Professional Cloud Architect, Certified Kubernetes Administrator) are advantageous but not mandatory.

London, United kingdom

Remote

Senior

12-12-2025