Top Tech Jobs & Startup Jobs

Serve as a senior technical advisor for enterprise cybersecurity customers and prospects. Lead product demonstrations, technical storytelling, architecture workshops, proof-of-concept engagements, and security consultations. Partner with sales, product, engineering, marketing, channel, and customer success teams to drive adoption, expansion, and new business. Develop enablement content, provide customer-driven product feedback, support strategic partners, and represent the company at industry events. Travel within the U.S. for customer and partner engagements.

Own and grow enterprise customer accounts in Germany by selling Trend’s AI-powered cybersecurity platform. Lead complex, value-based sales cycles, engage C-level and senior IT stakeholders, conduct business reviews, demonstrate ROI, and coordinate sales engineers, channel partners, specialists, and leadership. Participate in trade fairs, executive reviews, and industry events while delivering presentations and achieving new-business and quota targets.

Develop and maintain reliable Linux-based virtual malware analysis sandboxes for Trend Vision One. Build threat detection and intelligence capabilities, improve anti-evasion analysis, design innovative solutions, and perform unit testing and debugging. Collaborate in agile teams while applying AI workflows and virtualization technologies to enhance engineering productivity and scalable multi-environment analysis.

Supports R&D engineering leadership through talent management, career architecture, organization design, employee relations, culture initiatives, change management, compensation and leveling strategy, and data-driven workforce insights. Partners with Engineering, Product, Finance, and corporate HR to scale the organization, improve people practices, and guide strategic decisions involving retention, promotions, hiring, and organizational effectiveness.

Serves as the technical bridge between sales teams and customers, delivering pre-sales consultations, solution demonstrations, architectures, and proof-of-concept engagements for AI and cybersecurity solutions. Builds customer and partner relationships, supports cloud and security designs, provides product expertise, and contributes to technical readiness programs. Requires regional travel of approximately 30–35%.

Design, build, and operate a production GPU-accelerated LLM serving platform. Responsibilities include managing Kubernetes clusters and NVIDIA GPU nodes, optimizing multi-GPU inference, tuning autoscaling for cost and latency, maintaining Terraform and Helm infrastructure, and developing Prometheus and Grafana observability for utilization, cache performance, latency, costs, SLA violations, and OOM events. Bonus work includes LoRA/PEFT workflows, MLflow integration, adapter CI/CD, and advanced inference framework tuning.

Lead organization-wide DevSecOps standards, secure development workflows, CI/CD security policies, software supply chain security, and automated security controls. Build internal tooling and platform services that improve observability, auditability, and operational resilience. Collaborate across engineering, infrastructure, and security teams to promote secure engineering practices and balance security with scalability and development velocity.

Build and maintain full-stack websites and marketing experiences using Sanity CMS, TypeScript, Node.js, and component-based frontend frameworks. Own content architecture, reusable components, performance, accessibility, technical SEO, integrations, and AWS delivery infrastructure. Collaborate with marketing, design, content, sales, and growth stakeholders while using AI-assisted development tools. Participate in agile practices and adapt to evolving priorities.

Build and maintain front-end applications and global marketing websites using Sanity CMS and modern component-based frameworks. Develop reusable components, templates, and tooling; integrate APIs and marketing platforms; and own performance, accessibility, technical SEO, and AI-crawler readiness. Collaborate with marketing, design, content, sales, and growth teams in an agile environment while using AI-assisted development tools and adapting to changing priorities.

Design and build a company-wide data platform supporting ingestion, CDC, replication, transformation, governance, semantic discovery, analytics, and self-service dbt workflows. Develop scalable architectures across distributed SQL databases and analytical platforms, establish data quality and observability standards, implement access controls and metadata foundations, and provide technical leadership across engineering teams. The role also shapes source-of-truth architecture and enables data for AI and agentic applications.