About Us
A Software-Driven Revolution in AI Networking
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 networking delivering deterministic time ultra-low latency and seamless scalability for modern distributed systems.
To learn more visit .
About Role
Clockwork is seeking a sales-oriented Senior Solutions Engineer with deep technical expertise in AI networking to join our growing team. This role is ideal for someone who thrives in a fast-paced dynamic environment and enjoys blending technical excellence with customer-facing impact.
As a key technical partner to the sales organization you will support the entire customer journeyfrom understanding customer requirements and delivering compelling technical presentations and demonstrations to leading proof-of-concept (PoC) evaluations and overseeing complex software deployments. Your background in networking systems engineering and consultative problem-solving will be critical to driving successful customer outcomes.
This position represents Clockworks first Solutions Engineer hire in the APAC region. The role is preferably based in Singapore. Bilingual candidates with strong English proficiency are highly desirable as you will work closely with regional and global stakeholders.
What you will do
- Collaborate closely with customers to understand their unique business needs and create prototype and deploy tailored solutions that align with their requirements.
- Lead proof of concept evaluations to showcase the value of Clockworks solutions within customer environments.
- Provide technical leadership during customer meetings presentations and workshops addressing any technical queries or concerns that arise.
- Work closely with Clockworks sales team to complete PoC evaluations and close deals.
- Collaborate with product and engineering teams and identify opportunities for product enhancement.
- Offer valuable insights on product features functionality and performance contributing to discussions about product strategy and architecture.
- Stay abreast of the latest developments and trends in AI networking Kubernetes and cloud computing sharing your thought leadership with customers and internal stakeholders.
- Represent Clockwork at conferences and industry events with occasional travel as required.
Experience/skills you bring to the position
- 5 years in a solutions architect or engineering role preferably within cloud or AI infrastructure domains.
- Previous pre-sales experience including POCs with client stakeholders including senior technical staff and management.
- Hands-on experience with cloud platforms (AWS GCP Azure OCI).
- Strong understanding of Kubernetes and container orchestration.
- Familiarity with GPU infrastructure and related technologies.
- Extensive knowledge of networking protocols.
- Excellent communication and relationship-building abilities with a customer-centric mindset.
- Demonstrated ability to troubleshoot complex technical issues and provide effective solutions.
- A degree in computer science electrical engineering or related field.
- Proficiency with Python SQL and Linux (Golang C C and Java are a plus).
Clockwork Systems is an equal opportunity employer. We are committed to building world-class teams by welcoming bright passionate individuals from all backgrounds. All qualified applicants will receive consideration for employment without regard to race color ancestry religion age sex sexual orientation gender identity or expression national origin disability or protected veteran status. We believe diversity drives innovation and we grow stronger together.
Required Experience:
Senior IC
About Us A Software-Driven Revolution in AI NetworkingClockwork 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 mee...
About Us
A Software-Driven Revolution in AI Networking
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 networking delivering deterministic time ultra-low latency and seamless scalability for modern distributed systems.
To learn more visit .
About Role
Clockwork is seeking a sales-oriented Senior Solutions Engineer with deep technical expertise in AI networking to join our growing team. This role is ideal for someone who thrives in a fast-paced dynamic environment and enjoys blending technical excellence with customer-facing impact.
As a key technical partner to the sales organization you will support the entire customer journeyfrom understanding customer requirements and delivering compelling technical presentations and demonstrations to leading proof-of-concept (PoC) evaluations and overseeing complex software deployments. Your background in networking systems engineering and consultative problem-solving will be critical to driving successful customer outcomes.
This position represents Clockworks first Solutions Engineer hire in the APAC region. The role is preferably based in Singapore. Bilingual candidates with strong English proficiency are highly desirable as you will work closely with regional and global stakeholders.
What you will do
- Collaborate closely with customers to understand their unique business needs and create prototype and deploy tailored solutions that align with their requirements.
- Lead proof of concept evaluations to showcase the value of Clockworks solutions within customer environments.
- Provide technical leadership during customer meetings presentations and workshops addressing any technical queries or concerns that arise.
- Work closely with Clockworks sales team to complete PoC evaluations and close deals.
- Collaborate with product and engineering teams and identify opportunities for product enhancement.
- Offer valuable insights on product features functionality and performance contributing to discussions about product strategy and architecture.
- Stay abreast of the latest developments and trends in AI networking Kubernetes and cloud computing sharing your thought leadership with customers and internal stakeholders.
- Represent Clockwork at conferences and industry events with occasional travel as required.
Experience/skills you bring to the position
- 5 years in a solutions architect or engineering role preferably within cloud or AI infrastructure domains.
- Previous pre-sales experience including POCs with client stakeholders including senior technical staff and management.
- Hands-on experience with cloud platforms (AWS GCP Azure OCI).
- Strong understanding of Kubernetes and container orchestration.
- Familiarity with GPU infrastructure and related technologies.
- Extensive knowledge of networking protocols.
- Excellent communication and relationship-building abilities with a customer-centric mindset.
- Demonstrated ability to troubleshoot complex technical issues and provide effective solutions.
- A degree in computer science electrical engineering or related field.
- Proficiency with Python SQL and Linux (Golang C C and Java are a plus).
Clockwork Systems is an equal opportunity employer. We are committed to building world-class teams by welcoming bright passionate individuals from all backgrounds. All qualified applicants will receive consideration for employment without regard to race color ancestry religion age sex sexual orientation gender identity or expression national origin disability or protected veteran status. We believe diversity drives innovation and we grow stronger together.
Required Experience:
Senior IC
View more
View less