AI Enablement Director

About the Role

Backblaze is executing an ambitious, company-wide AI transformation program that is fundamentally reshaping how our organization operates at scale. This is not a theoretical research project - it is a live, high-impact initiative with production deployments already in production. We are driven by a commitment to operational excellence and tangible results, and this role sits at the very center of that mission. You will be responsible for shaping the path forward, ensuring that our AI initiatives deliver clear, measurable value that drives the business forward. This role sits at the center of it.

Reporting to the CHRO, you will lead the AI use case lifecycle, managing everything from initial intake to final production. Your responsibilities include scoping complex workflows, architecting innovative solutions, overseeing pilot programs, and precisely measuring the impact of these changes. Partnering closely with functional directors, you will identify high-potential areas for AI integration and process transformation, ensuring these initiatives translate into tangible operational results.

The program has a simple test: by Q3, we should be able to answer "what has AI actually delivered this year?" in a single slide with numbers. You are the person who makes that slide possible.

What You’ll Do

• Own the use case pipeline. Triage incoming requests, refine problem statements, size value, and maintain a prioritized queue across functions. Lead each use case through discovery, scoping, pilot, and launch - coordinating functional owners, IT, Engineering, Legal, and Finance as required.
• Do the workflow work. Conduct structured current-state assessments with department teams. Map how work actually happens today. Find where volume, repetition, or research intensity make AI a strong fit - and surface the use cases that would never appear in a top-down scan.
• Design the right solution. Evaluate whether a given workflow calls for an off-the-shelf tool, a prompt layer, a vendor product, or a custom build. Engage Engineering and IT when integration or custom development is required. Document baselines before launch. Measure the delta after.
• Govern the tool stack. Own the AI vendor evaluation process end-to-end: fit assessment, security and privacy review, pilots, and build-vs-buy recommendations. Maintain the AI Tool Registry with zero ungoverned deployments. Track spend per team monthly with cost-per-outcome visibility available to the executive team.
• Keep leadership informed. Maintain a live view of every active use case, its status, its owner, and its impact. Produce outcomes reports. Surface role and change implications early - before they become problems.

The Right Fit

• 7+ years in program management, business operations, or automation delivery - with direct experience moving AI or workflow automation initiatives from discovery to production
• Hands-on fluency across the modern AI stack: prompt engineering, RAG pipelines, LLM orchestration, tool evaluation, and governance
• Experience conducting workflow assessments with business stakeholders - not just technically, but operationally: mapping current states, identifying leverage points, designing future states
• A track record of producing outcomes framed in time saved, cost reduced, or revenue impacted - not features shipped or tools deployed
• Clear written communication: business cases, executive updates, solution design documents

Nice to Have

• Experience running an AI program across multiple functions simultaneously
• Familiarity with AI governance in data-sensitive or PII-adjacent environments
• Background in cloud infrastructure, storage, or technical B2B businesses
• Exposure to org transitions - restructures, outsourcing programs, distributed team ramp-ups - and the workflow documentation challenges they create