Digital Shark positions focus on delivering results in their domain. This page aggregates open Digital Shark roles and what employers typically expect.
About Us SharkNinja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people’s lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja , the company has a proven track record of bringing disruptive innovation to market and developing one consumer product after another has allowed SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 4,100 associates, the company’s products are sold at key retailers, online and offline, and through distributors around the world. AI at SharkNinja At SharkNinja, 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. Digital Sharks: Hunting Attention, Converting to Revenue Performance Data Associate — Marketplace Intelligence (Early Careers) Team: Global eCommerce, Pure Players — Performance Data Location: Mexico City, Mexico Contract Type: Fixed-Term Contract Duration: 6 months Overview At SharkNinja, we don’t just build products—we create consumer-first experiences that delight millions of customers around the world. Digital Sharks is our early careers program for the eCommerce Pure Players business — the team responsible for how SharkNinja shows up on the world’s largest marketplaces, including Amazon, Mercado Libre and Takealot. Millions of people discover our products there every day. This program exists to turn that attention into revenue. We’re looking for a Performance Data Associate to join our Pure Players Performance Data team and help build APEX, the intelligence layer behind how we win on Marketplaces around the world. Our Pure Players business generates more performance data than any team can read manually. You’ll help connect that data to APEX and support the agents we’re building on top of it, working alongside Performance Data leads, engineers and regional commercial teams. This is an exciting opportunity for someone who is naturally curious, analytical and comfortable with data, and wants to build hands-on experience in AI-native analytics within a fast-paced, global business. What You’ll Be Doing You’ll own a defined market and a measurable business outcome from your first month, while gaining exposure to how a global e-commerce business actually operates. You’ll: Integrate the 3 rd Party API connections into APEX to supercharge our agentic context. Support the completion of three consecutive two-week sprints on the Agentic Jailbreak Big Build. Expand APEX’s knowledge by structuring, validating and documenting marketplace performance data. Test agent outputs against real performance data and document where they break. Translate commercial questions from Sales and Digital Marketing into data the agent can actually answer. Build and maintain reporting across availability, pricing, content quality and advertising efficiency. Carry out competitor and category analysis to identify opportunities on marketplaces around the world. Participate in the program operating rhythm, including daily stand-ups, 30-day sprint reviews and weekly Show & Tell sessions where you present your own work. What We’re Looking For We’re looking for someone who enjoys solving problems, asking questions and working collaboratively to get to a better answer. You’ll likely be: A recent graduate, or in the final year of a degree in Data Science, Computer Science, Engineering, Economics, Business Analytics, Information Systems or a related discipline. Curious about AI and agentic tools, and willing to learn them quickly. Comfortable working with APIs, structured data and messy real-world datasets. Analytical and comfortable wo…