United States onlyAbout KnowBe4
Join the cybersecurity company that puts security first; literally and without compromise. At KnowBe4, our AI-driven Human Risk Management platform empowers over 70,000 organizations worldwide to strengthen their security culture and transform their workforce from their biggest vulnerability into their strongest security asset. As the undisputed industry standard with unusually high customer retention rates and recognition as a Leader by G2 and TrustRadius, we're not just providing security awareness training - we're redefining what it means to be a trusted security partner in an increasingly complex threat landscape.
Our team values radical transparency, extreme ownership, and continuous professional development in a welcoming workplace that encourages all employees to be themselves. Whether working remotely or in-person, we strive to make every day fun and engaging; from team lunches to trivia competitions to local outings, there is always something exciting happening at KnowBe4.
Remote positions open in the US office only.
The Solution Architect acts as the key technical leader bridging business needs and engineering execution, specializing in integrating and optimizing a multi-platform environment including Salesforce, Netsuite, Workday, and Mulesoft. This role requires deep expertise in enterprise architecture, system integration, data governance, and the strategic application of Artificial Intelligence and Machine Learning features native to or integrated with these platforms.
Responsibilities:
- Solution Design & Architecture: Design end-to-end technical solutions that meet business requirements, ensuring scalability, reliability, and security across the entire application landscape.
- System Integration Leadership: Lead the architectural strategy for integrating key business applications, including Salesforce (CRM), Netsuite (ERP), Workday (HCM/Finance), and leveraging Mulesoft for enterprise-level integration and API management.
- AI/ML Architecture: Architect and govern the strategic implementation and integration of AI/ML capabilities within core SaaS platforms (e.g., Salesforce Einstein, Workday AI), ensuring data readiness, governance, and ethical application of models for predictive analytics and automation.
- Technical Documentation: Create and maintain comprehensive technical documentation, including architecture diagrams, data flow maps, integration specifications, and solution blueprints.
- Cross-Functional Collaboration: Partner effectively with Product Managers, Delivery teams, and Business Stakeholders to translate strategic initiatives into concrete, actionable technical designs.
- Research and evaluate new technologies and tools to enhance the existing architecture and drive innovation across the organization.
- Participate in security reviews and compliance audits related to system architecture and data flow.
- Mentor junior technical staff on architectural best practices and system complexities.
Minimum Qualifications:
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- Minimum of 7 years of experience in an architectural role, with significant experience in a high-growth SaaS or technology environment.
- Proven expertise in designing and implementing complex integrations between multiple enterprise SaaS applications.
- Core Technical & Architectural Skills
- Deep architectural knowledge of Salesforce and at least one other major platform (Netsuite or Workday).
- Hands-on experience with an integration platform as a service (Mulesoft preferred) and API-led connectivity principles.
- Strong understanding of data modeling, security, governance, and the architectural principles required to support AI/ML initiatives within a SaaS application ecosystem.
- Excellent communication skills with the ability to articulate complex technical ideas to both technical and non-technical audiences.
- Bonus Points If You Have:
- Certifications in relevant platforms (e.g., Salesforce Certified Technical Architect, Mulesoft Certified Developer/Architect).
- Demonstrated experience architecting solutions that leverage native AI features of SaaS platforms (e.g., Salesforce Einstein, Workday AI) or integrating external AI/ML services via a platform like Mulesoft.
- Familiarity with agile development methodologies and DevOps practices.
The base pay for this position ranges from $150,000 - $170,000, which will vary depending on how well an applicant's skills and experience align with the job description listed above.
We will accept applications until 3/05/2026.
Our Fantastic Benefits
Note: An applicant assessment and background check may be part of your hiring procedure.
Individuals seeking employment at KnowBe4 are considered without prejudice to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation or any other characteristic protected under applicable federal, state, or local law. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please visit www.knowbe4.com/careers/request-accommodation.
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