Key Solutions Architect

📍 United States

USD 132,000-182,000 per year

SENIOR

✅ Remote

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 6 API @ 4 Communication @ 6 Debugging @ 4 GenAI Generative AI @ 6 Helm @ 6 Jira @ 6 Kubernetes @ 4 Linux @ 4 Machine Learning @ 6 Salesforce @ 6 Security @ 7 macOS @ 4

Details

As a Key Solutions Architect, you will serve as the expert escalation point for SentinelOne's AI Security customers. The role combines deep technical troubleshooting, solution architecture, deployment leadership, and cross-functional collaboration to resolve complex customer problems and support SentinelOne's post-sales teams with Prompt at scale.

You will operate as an escalation layer behind Customer Success, Technical Account Management, Technical Success, and Support teams. When an issue goes beyond frontline support, you will identify the root cause, work directly with Prompt R&D, and provide a clear resolution. You will also act as an AI security specialist for customer architecture guidance, deployment strategy, and adoption planning.

Responsibilities

Own and drive complete deployment cycles through structured project management and hands-on technical oversight.
Provide architecture advisory for self-hosted, air-gapped, SSO/IdP, proxy, and MDM deployments that are not covered by standard guides.
Partner with Account Executives, Key Account Managers, Sales Engineering, Support, Product, and Engineering teams to support complex implementations and align on customer outcomes.
Act as a trusted technical advisor in customer engagements.
Drive adoption, feature utilization, and long-term customer health through technical consultation and regular engagement.
Represent customer needs internally and urgently surface requirements, blockers, and risks.
Manage escalations end to end, including triage, root-cause analysis, resolution, and handback.
Work directly with Prompt R&D to drive fixes, obtain accurate ETAs, and verify fixes with customers.
Develop technical resources, training sessions, enablement content, knowledge-base articles, documentation, and internal enablement materials.
Serve as the expert on new and emerging functionality, beta deep-dives, and partner integrations.

Requirements

5 to 7 or more years of experience in enterprise software; cybersecurity experience is strongly preferred.
Experience in roles such as Technical Account Manager, Professional Services Consultant, Customer Success Engineer, or similar.
Strong technical background in cybersecurity, endpoint protection, and IT and security architecture.
Knowledge of Windows, macOS, Linux, and containerized environments, including Kubernetes.
Demonstrated ability to lead projects, manage multiple stakeholders, and influence cross-functional outcomes.
Excellent written and verbal communication skills, with the ability to engage technical practitioners and executive stakeholders.
Proficiency with Jira, Salesforce, and case and escalation workflows.
Hands-on troubleshooting and root-cause analysis experience involving logs, network traces, browser and extension behavior, and API debugging.
Experience in Technical Success, Deployment Management, Solutions Architecture, or Enterprise Customer Success Engineering is preferred.
Experience delivering training, enablement, or customer-facing technical content is preferred.
Ability to act as a trusted advisor for large enterprise accounts and manage complex deployments and technical engagements.
Preferred domain expertise in one or more of the following areas: AI and security, artificial intelligence, machine learning, generative AI, cybersecurity with a focus on AI and data security, modern cloud architecture, Kubernetes and Helm, containerized environments, SaaS platform support, API integrations, MDM tools, information security principles, and network architecture.