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STÄUBLI
Posted: 10/16/2026Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI Security solutions, technical sales, and customer engagement, with a strong foundation in AI technologies and deployment strategies. Proven ability to lead technical training, architecture reviews, and collaborate effectively with sales teams and partners.
Highest-signal resume keywords
Technical Sales ExperienceAI Security SolutionsMachine LearningDockerKubernetes
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Partner with the AI Sales Specialist to shape and execute the go-to-market strategy for AI Security solutions across the region
- Expand existing customer accounts and drive greenfield acquisition
- Enable and train regional Sales Engineers on product capabilities, roadmap, and live demonstrations
- Support technical discovery, architecture deep dives, and proofs of concept throughout the sales cycle
- Assist customers with deployment of AI Security solutions in self-hosted environments
- Maintain demo environments and oversee demo certifications, training materials, and performance benchmarking
- Equip channel and reseller partners with technical expertise and resources
- Collaborate with sales engineers and partners to identify, qualify, and close AI Security business
- Lead customer-facing architecture reviews, integration evaluations, product demonstrations, and technical training
- Facilitate post-sales technical handovers for successful deployments and long-term customer success
- Build trusted relationships with CTOs, CISOs, and enterprise AI leaders
- Educate customers on agentic AI best practices and secure AI deployment
Requirements
What you’ll need- Bachelors degree in electrical engineering, computer science, data science, information systems, or related technical field of study
- 5+ years of technical sales experience, including at least 2 years specializing in AI and related technologies
- Demonstrated experience engaging with technical evaluators, including cloud or AI security engineers, data scientists, and AI/ML architects
- Understanding of core AI technologies, including machine learning, deep learning, and generative AI
- Hands-on experience with Docker and containerized workloads
- Experience with Kubernetes (EKS, GKE, or equivalent)
- Deep understanding of core AI security concepts, including access controls, identity management, network integration, endpoint detection and response, red-teaming, and guardrails
- Familiarity with popular agentic AI tools, AI infrastructure, and associated security implications preferred
- Exemplary written, verbal, and presentation communication skills
- Experience deploying production applications on cloud computing platforms such as AWS, Azure, or GCP
- Ability to travel up to 50%
Benefits
Comp & perks- Medical insurance
- Dental insurance
- Vision insurance
- Life insurance
- Disability insurance
- 401(k)
- 11 paid holidays
- Vacation time
- Sick time
- Comprehensive leave program
- Equity program
- Commissions based on the terms of the Sales Compensation Plan
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI TechnologiesDeep LearningGenerative AICloud ComputingAccess ControlsIdentity ManagementNetwork IntegrationEndpoint Detection and ResponseRed-TeamingGuardrails
Soft Skills
Written CommunicationVerbal CommunicationPresentation SkillsRelationship Building
Tools & Technologies
DockerKubernetesAWSAzureGCP
Industry Keywords
AI SecurityTechnical DiscoverySales CycleCustomer SuccessAgentic AI