Solutions Architect – Post-Sales

🕒 vor 2 Monaten

🇺🇸 Vereinigte Staaten – Remote

⏰ Vollzeit

🟡 Mittelstufe

🟠 Senior

💻 Lösungsingenieur

🗣️🇺🇸🇬🇧 Englisch erforderlich

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HiddenLayer

51 - 200 Mitarbeiter

Gegründet 2022

🤖 Künstliche Intelligenz

🔒 Cybersecurity

💳 Fintech

Artificial Intelligence • Cybersecurity • Fintech

HiddenLayer ist die erste dedizierte Security‑Plattform für Künstliche Intelligenz, die darauf ausgelegt ist, AI‑Modelle vor Adversarial Attacks zu schützen, die Wettbewerbsvorteile gefährden können. In Partnerschaft mit Microsoft Azure bietet HiddenLayer eine Suite von Lösungen, darunter AI Detection & Response, Security Scanning und Automated Reporting, um Machine‑Learning‑Algorithmen zu schützen – ohne Zugriff auf die zugrunde liegenden Daten zu benötigen. Gegründet von Fachleuten mit langjähriger Erfahrung in AI und Security, verfolgt HiddenLayer das Ziel, Unternehmen einen unkomplizierten und effektiven Weg zur Absicherung ihrer AI‑Assets bereitzustellen.

Beschreibung

• Customer Onboarding & Deployment: Partner with customers to design and implement secure deployments of our AI security solutions, ensuring seamless integration into their environments (cloud, on-prem, or hybrid). • Technical Guidance & Iteration: Provide expert technical consultation on infrastructure, containerization (Docker/Kubernetes), and cloud networking. Help customers rapidly iterate and adopt best practices for secure AI operations. • Customer Success Ownership: Act as the primary technical point of contact post-sale, ensuring customers derive ongoing value, achieve their security objectives, and successfully scale their deployments. • Troubleshooting & Optimization: Diagnose and resolve customer issues, optimize configurations, and proactively identify opportunities for improvement. • Enablement & Training: Deliver hands-on workshops, training sessions, and technical documentation to empower customer teams to be self-sufficient with our products. • Feedback Loop: Capture customer feedback and collaborate with product management, engineering, and research teams to inform roadmap priorities and product enhancements.

🎯 Anforderungen

• Proven experience in a post-sales, customer success, or solutions engineering role (AI, security, or cloud-based products preferred). • Strong experience with Docker and containerized workloads; familiarity with Kubernetes is highly desirable. • Hands-on cloud experience (AWS, Azure, or GCP), including cloud networking concepts and Infrastructure as Code (IaC). • Python programming experience required; familiarity with AI/ML workflows (LangChain, LangGraph, MLOps tools) is a plus. • Skilled at troubleshooting technical issues and guiding customers through iterative solution design. • Excellent interpersonal and communication skills; comfortable working with both technical and business stakeholders. • Self-motivated, adaptable, and passionate about helping customers succeed.

🏖️ Vorteile

• Fully Remote: We are a completely remote global team. Though we’re distributed, we are intentional about getting the team together a couple of times a year. We offer a generous stipend for your home office setup, annual upgrades to ensure you have a comfortable workspace and a monthly stipend for internet/phone expenses. • Comprehensive Health & Wellness Benefits: Better than your average startup healthcare benefits. With five options to choose from, of which are fully subsidized by HiddenLayer, we offer a variety of options to fit each person’s needs. We also offer vision, dental, and 401k offerings. • Flexible Time Off: Enjoy unlimited and flexible time off for all salaried employees, in addition to 15 paid company holidays. • Commitment to Learning and Development: We support personal growth and education through a dedicated L&D fund that can be used for training, conferences, certifications and industry events. • Diversity, Equity, and Inclusion: We are committed to building a diverse team with individuals from various backgrounds, experiences, abilities, and perspectives, and we are proud to be an equal opportunity employer.

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