For SharkNinja's Chief Product Officer

A force multiplier for your next chapter.

Chief of Staff & Product OperationsExecutive Partnership & Decision SupportAI-Enabled Operations

I already operate as a force multiplier inside a global hardware product organization: owning the executive reporting, the operating cadence, and the decision support that leaders run on. I want to bring that to SharkNinja and help a new CPO land with speed and clarity.

Worcester, MALocal to Needham and ready for on-site.

Portrait of Nicolas Dupuis

Why this role, why me

Three reasons this is a fit, with the evidence.

01

I already do this job.

I am a force multiplier to senior product and business-unit leadership today. I own the executive reporting and operating cadence leaders rely on to prioritize and decide, I turn ambiguity into decision-ready recommendations, and I drive cross-functional alignment through influence, not authority.

Portfolio dashboards three leadership tiers depend on. A $28M problem I framed, analyzed, and helped resolve with executive leadership.

02

I understand how products get built.

11+ years inside a global hardware product organization, and an engineer by training. I have run new-product launches end to end and built the governance that lets programs move faster. A CPO's chief of staff has to speak product fluently. I do.

A $15M product forecast. The full concept-to-launch lifecycle. Governance and SOPs that compressed time-to-market.

03

AI is how I already work.

I use Microsoft Copilot every day across Microsoft Fabric, Excel, and Power BI to synthesize signals and accelerate analysis, and I work across frontier models like Claude and Gemini to stay fluent as the tools evolve. Beyond the tools, I have a point of view on where this goes: AI that sharpens executive decision support, models portfolio tradeoffs, and surfaces roadmap risk earlier.

This site is one small proof that I build with AI and ship.

Selected work

The substance, stated plainly.

Built from scratch

Cost-modeling tool

A forecasting tool I built and own end to end. It projects the budget impact of rising component costs and how supplier shortages stretch lead times and push fulfillment to higher future prices, giving leadership advance visibility into financial risk before it materializes.

$10Ks saved per order

Order-prioritization program

I drive a program that ranks product orders by forecasted cost impact and material availability, pulling the highest-impact orders earlier ahead of industry-wide RAM and SSD cost spikes. It saves thousands to tens of thousands of dollars per order.

$28M

Inventory surplus, de-risked

I framed an ambiguous, high-stakes problem into a clear plan, ran the analysis, surfaced the risk early, and partnered with executive leadership on the mitigation they adopted to limit financial exposure.

$15M

New-product launches

I drove a new enterprise networking product forecast to $15M in annual revenue over its first three years, coordinating engineering, supply, and go-to-market to hit the release date, and led cross-functional teams through the full concept-to-launch lifecycle.

On AI

Where I would take AI in this role.

Using AI well is already how I work. The larger opportunity is to build it into the operating model, not just use the tools.

  • Reporting that maintains itself. Dashboards and pre-reads that update and summarize themselves, so the cadence runs on signal instead of manual assembly.
  • A strategy document that stays current. The CPO's bets, geo priorities, and loyalty milestones kept legible and up to date automatically.
  • Roadmap risk, surfaced earlier. Synthesizing inputs across a 480-person org to flag misalignment between strategy, roadmap, and resourcing before it escalates.

And the site you are reading. Each one solves a real problem for a real person.

On the strategic ownership areas

The geographic-expansion and loyalty mandates need someone who can size opportunities, build the analytical case that connects growth to product investment, and translate strategy into roadmap and resourcing. That is the muscle I have used for 11+ years. I would bring it to these problem spaces with the same structured, evidence-first approach, and I am genuinely energized by them.