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Trend Micro · 3 hours ago

Sr. Solutions Engineer

United States

Full-time

Remote

Senior Level

5+ years exp

Trend Micro is a global cybersecurity leader dedicated to ensuring safe digital information exchange. The Senior Solutions Engineer will engage directly with customers to guide them in adopting and expanding the use of the company's cybersecurity platform, acting as a trusted advisor throughout the customer lifecycle.

Cloud SecurityCyber SecuritySecurityVirtualization

Culture & Values

No H1B

Responsibilities

Serve as the primary technical advisor for enterprise customers and prospects, guiding them through the evaluation, adoption, and expansion of our cybersecurity platform

Develop a deep understanding of customer goals, challenges, and security requirements to align platform capabilities with meaningful outcomes

Lead impactful demos, presentations, and technical storytelling that clearly articulate value and build confidence across technical and executive audiences

Build and maintain trusted relationships with strategic partners to accelerate revenue and broaden market reach

Represent the company as a thought leader at industry events, panels, webinars, and field engagements

Develop high-quality enablement content demos, videos, architectural diagrams, training assets to support internal teams and partners

Collaborate cross-functionally with Product, Engineering, Marketing, Channel, and Customer Success to ensure aligned execution and exceptional customer experience

Provide product feedback and innovation insights to Product Management based on customer needs, technical gaps, and emerging market trends

Lead and support Proof of Concepts (POCs) that demonstrate measurable technical and business value, ensuring alignment with stakeholder outcomes

Maintain deep knowledge of platform capabilities, including beta features, upcoming enhancements, and cybersecurity best practices

Travel within the U.S. for customer engagements, industry events, partner meetings, and strategic field initiatives

Qualification

CybersecurityAI technologiesPublic cloud technologiesSolutions EngineeringTechnical Pre-SalesTechnical storytellingAPI integrationsScriptingCloud architectureCommunication skillsCustomer educationMentoringTeam collaborationProblem-solving

Required

Bachelor's degree or equivalent experience in cybersecurity, AI, cloud, networking, systems engineering, or related technical fields

5+ years of experience in Solutions Engineering, Sales Engineering, or Technical Pre-Sales roles

Proven experience working with technical decision-makers and executives in enterprise environments

Strong understanding of public cloud technologies (AWS, Azure, GCP)

Broad technical acumen across cybersecurity, cloud architecture, networking, AI, risk visibility, and IT modernization

Experience designing/architecting solutions in on-premises, hybrid, and cloud-native environments

Ability to rapidly learn modern technologies and thrive in a fast-evolving cybersecurity landscape

Excellent communication and presentation skills with the ability to present to a variety of external audiences, including C-level executives

Proven experience and passion for public speaking, live demos, and customer education

Preferred

Experience working in fast-paced SaaS or cybersecurity startup environments

Familiarity with XDR, SIEM, CSPM, CNAPP, or modern detection/security posture technologies

Hands-on experience with API integrations, scripting, automation, or lightweight coding (Python, Bash, PowerShell)

Experience delivering executive briefings, architecture workshops, or security maturity assessments

Background in SOC operations, threat hunting, or incident response

Experience working with or enabling MSSPs, GSIs, or Channel Partners

Knowledge of compliance frameworks (SOC2, NIST, ISO 27001, PCI, HIPAA)

Strong technical storytelling ability translating complex concepts into clear value for customers

Enthusiasm for mentoring, teaching, and knowledge sharing across internal teams

AI technology experience, such as applying AI/ML to cybersecurity workflows, leveraging LLMs or agentic AI for automation, or working with AI-driven detection and analytics systems