Dana, your post described someone who connects product strategy, people, technology, and execution. That intersection isn't just where I've worked. It's the operating thesis I've spent my career building.
Prepared personally by Anita Njoku · Product Leader · October 2026
These are results from teams and platforms I've led. They show the intersection of creative experiences, reliable execution, and operational leverage.
Performance figures describe prior program results, not a forecast or a claim of Netflix impact.
“A great operating model doesn't add bureaucracy. It makes the right work easier to see, the right decisions faster to make, and great people more effective together.”ANITA NJOKU · PRODUCT & OPERATIONS LEADER
Netflix's CEI Configurations team needs a connective-tissue leader for fast-moving product innovation. Here's the evidence I would bring into our first conversation.
I designed ARAUÁN's product operating model from a blank page: role ownership, handoffs, decision registries, escalation paths, release reviews, and accountability across a distributed AI-assisted organization.
At CoreStory, I coordinated a ~$5M enterprise proof-of-value across three organizations while building evidence-based product prioritization, evaluation checkpoints, and executive-facing decision discipline.
I orchestrated specialized AI agents across product, engineering, UX, research, growth, and support. Structured routing and reviews let scoped work progress asynchronously without removing human decision authority.
At 84.51°, I led AI-enabled creative workflows that improved advertiser engagement and approval speed. I also built Lumen, an early streaming-advertising creative-intelligence prototype with governance embedded in the experience.
At ARAUÁN, I assembled specialized AI agents with explicit responsibilities, routing rules, handoffs, limits, and review points. The goal wasn't to replace leadership. It was to give the organization a way to keep doing valuable, governed work between my direct interventions.
Customer evidence, issue reports, product priorities, engineering events, and direct mentions become visible, routable work.
Choose a function to see its responsibility.
Outputs feed decisions, tickets, reviews, and escalations. Risk, cost, and consequential actions retain human oversight.
Frames outcomes, owns prioritization, connects customer signals to roadmap decisions, and escalates consequential tradeoffs.
I turn fragmented experience and operational complexity into more coherent workflows and better decisions. The work spans advertising, AI-native systems, and regulated enterprise technology.
A creative-intelligence and governance concept exploring how advertising ideas, evidence, audience/platform requirements, review, and human judgment can work as one connected experience. Prototype examples are simulated.
Explore the public prototype ↗Led a governed advertising-creative platform that aligned advertisers, reviewers, brand standards, and technical teams. Achieved 70% shorter approval cycles and 40% higher advertiser engagement.
Read more in my portfolio ↗Defined developer-intelligence workflows, product-evaluation governance, and execution across an enterprise proof-of-value. Helped raise cross-file AI Q&A accuracy from approximately 53% to 80%.
See enterprise work ↗An early-access estimating and proposal workflow product with evidence-centered decisions, roles, approvals, and clear operational handoffs.
Not a prescriptive Netflix plan. A way of approaching a complex environment with humility, speed, and enough rigor to build leverage that lasts.
Listen to CEI and partner teams. Map intake, decisions, planning rhythms, dependencies, escalation paths, and where the member experience crosses organizational boundaries.
Establish a shared picture of commitments, risks, operating metrics, decisions, and ownership. Strengthen the forums and artifacts leaders need to make better calls.
Reduce repetitive coordination, simplify handoffs, automate where it genuinely helps, and maintain a trusted source of truth without creating process for its own sake.
Any implementation would be shaped with Netflix's leaders and teams, informed by existing practices, and measured against actual business needs.
This is one of the rare roles that brings together the work I am best at and the work I most want to do. I'd appreciate the opportunity to walk you through what I've built, what I've learned, and how I could contribute to Content Experience Innovation.