Senior Sales Engineer
Role: Senior Sales Engineer
Duration: Permanent
Location: 1 Royal Exchange Avenue, London
Work Model: 5 days a week onsite, no flexibility
The Opportunity
Our client is a fast-growing provider of data center and connectivity services, delivering solutions to enterprise, cloud, AI and digital infrastructure customers across the UK and internationally. As demand for hyperscale and AI capacity accelerates, they are hiring a Senior Sales Engineer to support the growth of their connectivity, hyperscale data center and AI cloud portfolio.
This is a customer-facing pre-sales role combining deep technical expertise with commercial acumen. You will act as the trusted technical advisor throughout the sales cycle: supporting account executives, developing technical solutions, presenting to customers and ensuring proposed architectures align with business and technical requirements.
What You Will Do
- Provide pre-sales technical leadership across the full sales lifecycle.
- Deliver technical presentations, workshops, demonstrations and proof of concept engagements.
- Respond to RFPs, RFIs and technical tender requests.
- Design end-to-end solutions spanning dark fiber and wavelength services, IP transit, data center interconnect, cross connects and colocation, multi-cloud connectivity, AI infrastructure networking, and private and hybrid cloud architectures.
- Develop scalable architectures supporting hyperscale cloud and AI workloads.
- Translate complex technical concepts into clear business value propositions.
- Support customer onboarding and technical transition activities.
- Build strong relationships with customer engineering, architecture, and procurement teams.
What You Will Bring
- Proven pre-sales or sales engineering experience in connectivity, data center or cloud environments, including complex solution sales and large enterprise opportunities.
- Experience designing interconnection and connectivity solutions for enterprise or hyperscale customers.
- Strong understanding of data center networking: Ethernet, MPLS, IP and optical networks, Layer 2 and Layer 3 architectures.
- Working knowledge of cloud connectivity platforms and AWS, Microsoft Azure and Google Cloud networking.
- Familiarity with SD WAN, network virtualization and AI infrastructure environments.
- Current knowledge of hyperscale data center ecosystems, GPU networking, edge computing environments and emerging interconnection solutions.
- The ability to understand business drivers and align technical solutions accordingly.
- Strong presentation and stakeholder management skills across technical and commercial audiences.
Qualifications & Certifications
- Degree in Computer Science, Telecommunications, Network Engineering or a related discipline.
- Relevant certifications valued: CCNP or CCIE, JNCIP or JNCIE, AWS Solutions Architect, Azure Network Engineer Associate, Google Professional Cloud Network Engineer, MEF.
- Background in technical consulting or solutions architecture with hyperscale, connectivity, cloud, or AI infrastructure customers.