Forward Deployed Growth Strategist; Commercial AI Solutions

About Us

Shark Ninjais a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positivelyimpactpeople's lives in homes around the world.
Powered by two trusted, global brands, Shark and Ninja
, the company has a proven track recordof bringing disruptive innovation to market and developing one consumer product after another has allowed

Shark

Ninjato enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than4,100associates, the company’s products are sold at key retailers, online and offline, and through distributors around the world.

At Shark Ninja, we're building an AI-native culture. We're not waiting for the future; we're creating it. Our people are expected to experiment boldly, adopt new tools, and continuously raise what's possible to create meaningful impact for our consumers. If you believe the best way to do your job hasn't been invented yet, you'll fit right in.

Did you start your career in Media, Sales, or Analytics? Have you lived the day-to-day—a Monday spent reconciling three data sources, the analysis you rebuilt by hand every month, the question you knew was answerable if only you had a week to dig?

Then you know the challenges of this work—the real version you worked around every day.

At some point, you hit a wall. You knew exactly what needed to exist, but you were stuck waiting on someone else’s roadmap. So you built it—and then you kept building to drive growth.

Today, you design and ship AI systems: agents that run reliably against messy, real-world data; pipelines that hold up under load; and tools people depend on every day. You have production scars. You own the full lifecycle—architecture, build, evaluation, and deployment—and you know what it takes to keep a system running once people rely on it.

But you never stopped thinking like an operator. You know the difference between an interesting technical problem and a real commercial one. You are equally credible with a finance leader and a staff engineer, changing vocabulary without changing substance.

You are half commercial, half technical—with no discount on either side. Not a business leader enthusiastic about AI, and not an engineer learning the business. The work you are most proud of is not a model or a demo. It is a system people depend on—or a number that moved because of something you built to drive growth

We are building this capability across every part of our commercial organization:
Media. Sales. Strategy. Analytics. Each team is sitting on opportunities to make decisions faster, sharper, and at a scale no spreadsheet will ever reach.

You will embed with a team running a real piece of a $6B+ business, across 41 categories identify where AI can materially change how it operates, and build the systems that make it happen. From problem definition through architecture, deployment, and adoption—it is yours to own. Then you drive adoption with the operators who own the P&L, improving what you built and pushing until the number actually moves.

You are not advising from the sidelines or feeding tickets into someone else’s backlog. You are working directly with operators to eliminate manual work, surface decisions sooner, and create measurable commercial impact, while driving growth.

• Embed with a team. Operate as a member of the commercial team you support. Learn their rhythm, the metrics their leaders are held to, and the decisions they make every week to grow the business.
• Diagnose before you build. Find the revenue and margin opportunities worth pursuing, and prove the case in the data before writing code.
• Build agentic solutions end to end. Design and ship AI agents, LLM pipelines, data products, and internal tools that plug into live commercial workflows and take real action. You own architecture, build, evaluation, and production.
• Master our enterprise data platform. Develop deep fluency in the platform underpinning our AI roadmap—data pipelines, data modeling, and the application layer—and use it to scale what you build beyond a…