Job description

Who are we?

Equinix is the world’s digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, life and planet.

A place where bold ideas are welcomed, human connection is valued, and everyone has the opportunity to shape their future.

Job Summary

The Lead Sales Engineer leads complex technical sales engagements across key accounts and is accountable for driving the technical win. The role combines customer discovery, solution design, technical strategy, whiteboarding, stakeholder engagement and cross-functional leadership to align Equinix capabilities to customer business and technology outcomes.

This role requires the ability to engage confidently with customer stakeholders on network architecture, application architecture and physical infrastructure design, and to identify how those environments can be improved for better performance, resilience, scalability and security.

Responsibilities

• Lead technical discovery, qualification and solutioning for strategic opportunities

  
  
  

• Own the technical relationship with customers and act as a trusted advisor throughout the sales cycle

  
  
  

• Understand customer business priorities, technical requirements, current-state architecture and target-state goals, then map them to Equinix solutions

  
  
  

• Hold architecture-level discussions on network design, interconnection strategy and application environments, identifying opportunities for improvement and modernization

  
  
  

• Design end-to-end solutions spanning data center, interconnection, cloud and hybrid infrastructure environments

  
  
  

• Lead customer meetings, technical workshops, whiteboarding sessions and executive-level discussions with clarity and authority

  
  
  

• Support complex RFIs, RFPs, quoting, technical documentation and customer deliverables

  
  
  

• Influence internal stakeholders across sales, operations, capacity, customer success and other teams to support effective opportunity execution

  
  
  

• Mentor other Sales Engineers and contribute to best practices, knowledge sharing and broader Solutions Engineering development

  
  
  

Qualifications

• Bachelor’s degree in computer science or related engineering discipline

  
  
  

• Proven years, in technical sales, pre-sales or solutions engineering, ideally in data center, cloud, networking or telecommunications environments

  
  
  

• Strong understanding of data center infrastructure, interconnection, network modernization and hybrid cloud architectures

  
  
  

• Ability to discuss customer network architecture and application architecture in a credible, consultative way and recommend practical improvements

  
  
  

• Proven success leading complex customer engagements and influencing technical and business stakeholders

  
  
  

• Excellent communication, presentation and relationship-building skills

  
  
  

• Ability to work independently, manage multiple priorities and perform effectively in a fast-changing environment

  
  
  

• Strong English written and verbal communication skills

  
  
  

Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability.  If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form.

Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer.  All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law. 

We use artificial intelligence in our hiring process. Learn more here.