Analyst, AI Platform – Enablement

🔥 1 minute ago

🇺🇸 United States – Remote

💵 $112k - $126k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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11:11 Systems

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2020

🤝 B2B

🔒 Cybersecurity

🏢 Enterprise

💰 Private equity on 2021-10

B2B • Cybersecurity • Enterprise

11:11 Systems is a provider of a resilient cloud platform and managed IT services focused on helping organizations modernize, protect, and manage their infrastructure. They offer managed public and private cloud, high-performance object storage, backup (including Veeam and Cohesity), disaster recovery as a service (DRaaS), and a suite of security services such as continuous risk scanning, managed detection and response (MDR), managed SIEM, and EDR. They also provide networking solutions (SD‑WAN, SASE, managed connectivity), consulting, and a Cloud Console for centralized management, targeting enterprise and professional customers.

📋 Description

• Administer approved enterprise AI platforms, including users and groups, licenses, access reviews, and standard workspace settings • Manage user provisioning, deprovisioning, entitlements, and the AI Support queue • Resolve Tier 1 and Tier 2 access, permission configuration, and usage issues • Monitor connector health, sync status, authentication state, and permission propagation • Coordinate vendor and internal technical escalations and user communications • Maintain operational runbooks, known-issue records, support procedures, change logs, and rollout communications • Onboard users and deliver demonstrations, office hours, workflow coaching, and training on approved tools, prompting practices, Glean usage, and responsible AI use • Create and maintain FAQs, how-to guides, troubleshooting content, release notes, and training materials for non-technical audiences • Help employees translate business tasks into safe, ethical, responsible, and effective AI-assisted workflows • Gather user feedback, identify adoption barriers and recurring support themes, and recommend enablement or process improvements • Track adoption, license utilization, support demand, enablement participation, and service performance KPIs • Complete routine access reviews, attestations, and governance reporting • Escalate misuse, safety concerns, policy exceptions, and out-of-scope technical issues • Follow company ethics, data handling, privacy, compliance, and policy requirements

🎯 Requirements

• Bachelor’s or university degree in a related Information Technology field, or equivalent years of related work experience required • 3+ years of demonstrated experience in SaaS administration, enterprise applications, IT operations, technical support, enablement, or a similar environment • Hands-on fluency with enterprise AI tools such as Glean, Claude, Claude Code, Copilot, ChatGPT, or comparable platforms • Working knowledge of RAG, LLMs, prompting, grounding, agents, guardrails, and human-in-the-loop review • Experience administering a cloud or SaaS platform, including users, groups, permissions, configurations, identity and access workflows, and connector or indexing issues affecting content retrieval • Strong troubleshooting discipline and ability to isolate routine issues, create clear user guidance, and escalate problems with relevant findings and reproduction steps • Experience onboarding and coaching new users, communicating technical concepts clearly to non-technical audiences, collaborating across departments, and gathering feedback to improve adoption • Comfortable using dashboards, spreadsheets, or BI tools to track adoption and operational KPIs • Understanding of AI governance, ethical and responsible AI use, data handling, basic safety concepts, and escalation boundaries in an enterprise setting • Experience with ITSM workflows, vendor ticketing, low-code automation, or light scripting, enterprise search or knowledge systems, and AWS-hosted services such as Bedrock is preferred • Must be legally eligible to work in United States without visa sponsorship

🏖️ Benefits

• Variable incentives such as bonuses or sales commissions • Comprehensive healthcare plan options • Retirement plan with company match • Life and other supplemental insurances • Paid time off and company holidays • New Parent Leave • Wellness programs