Keyfactorinc

Keyfactorinc

Senior Solutions Engineer, Central

United States; Remote, CST or EST preferred · Senior · Full-time

No sponsorshipDetected 34 days ago
AWSGCPAzureCybersecurityNetwork SecuritySalesDNSFirewallMentoringAdaptability

About the role

  • Keyfactor is the leader in trust infrastructure for AI and machines, helping the world's largest enterprises and government agencies take control of the cryptographic identities that safeguard every digital interaction.
  • We move fast, think big, and show up for one another every day.
  • If you're looking for work that matters and a team that brings out your best, we hope you'll trust your future with Keyfactor!

Responsibilities

  • Lead technical discussions with key clients, understanding their requirements and challenges, and providing advanced technical solutions that align with their business objectives.
  • Drive solution development for key accounts, ensuring that solutions are tailored to meet specific customer needs and are technically robust.
  • Contribute to strategic sales initiatives by leveraging deep product knowledge and understanding of customer needs to support the development of effective sales strategies.
  • Collaborate cross-functionally with product management, engineering, and other teams to ensure alignment between customer requirements and product capabilities
  • Act as a trusted advisor to clients, building strong relationships based on technical expertise, reliability, and a commitment to delivering value-added solutions.
  • Mentor and coach junior team members, sharing knowledge and best practices to help them develop their technical skills and advance in their careers.
  • Mentorship skills to support the growth and development of junior team members.
  • We build teams that continually strive to get better than the day before.

Requirements

  • Applicants must be legally authorized to work in the United States.

Skills

  • Bachelor's degree or equivalent experience
  • Extensive experience in leading technical discussions and solution development for key accounts.
  • Adaptability to handle evolving market dynamics and customer needs.
  • Security certifications (CISSP etc.) a plus
  • Experience with cloud-based environments such as Azure, AWS and/or Google Cloud.

Compensation

  • Salary will be commensurate with experience.
  • We build teams that continually strive to get better than the day before.
  • You will be challenged daily and given opportunities to grow personally and professionally.
  • We balance autonomy and structure to create an entrepreneurial environment to spur creativity and new ideas.

Benefits

  • Culture, Career Opportunities and Benefits
  • We balance autonomy and structure to create an entrepreneurial environment to spur creativity and new ideas.
  • Second Fridays (a company-wide day off on the second Friday of every month minus November and December due to the Holiday schedule).
  • Please note that this benefit is subject to change.
  • Comprehensive benefit coverage globally.

Company info

  • humans, machines, and AI.
  • Behind the platform is a global team of people who care deeply about the work and each other.
  • Second Fridays (a company-wide day off on the second Friday of every month minus November and December due to the Holiday schedule). Please note that this benefit is subject to change.
  • Generous paid parental leave globally.
  • Competitive time off globally.
  • Dedicated employee-focused ambassadors via Key Contributors & Culture Committees.
  • DIVERSE Commitment, a call to action for a more inclusive and diverse future in business, society, and technology.
  • The Keyfactor Alliance Program to support DEIB efforts.
  • Wellbeing resources, wellness allowance, mindfulness app free membership, Wellness Wednesdays.
  • Global Volunteer Day, company non-profit matching, and 3 volunteer days off.

Visa & Work Authorization

  • Applicants must be legally authorized to work in the United States.

This listing is sourced directly from Keyfactorinc's careers page and normalized into a canonical job model.