FALL 2026: DIGITAL/SHARKS, PERFORMANCE DATA CO-OP, MARKETPLACE INTELLIGENCE (AUGUST TO DECEMBER)

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 the trusted Shark and Ninja brands, the company drives innovation across multiple product categories, delivering significant growth and market share gains. Headquartered in Needham, Massachusetts, SharkNinja employs over 4,100 associates and sells its products through key retailers and distributors worldwide.

At SharkNinja, we’re building an AI-native culture where experimentation, bold adoption of new tools, and continuous innovation are expected to create meaningful impact for consumers.

About the role

The Digital Sharks early careers program focuses on SharkNinja’s eCommerce Pure Players business—the team responsible for the company’s presence on major marketplaces like Amazon, Mercado Libre, and Takealot. This program aims to convert marketplace attention into revenue.

As a Performance Data Associate on the Pure Players Performance Data team, you’ll help build APEX, the intelligence layer behind SharkNinja’s marketplace strategy. You’ll work with vast performance data sets, integrate third-party APIs, and support AI-driven agents to enhance decision-making. This role offers hands-on experience in AI-native analytics within a fast-paced, global eCommerce environment.

Responsibilities

• Own a defined market and measurable business outcome from your first month, gaining exposure to global eCommerce operations.
• Integrate third-party API connections into APEX to enhance agentic context.
• Support the Agentic Jailbreak Big Build through three consecutive two-week sprints.
• Structure, validate, and document marketplace performance data to expand APEX’s knowledge base.
• Test agent outputs against real performance data and document limitations.
• Translate commercial questions from Sales and Digital Marketing into actionable data for agents.
• Build and maintain reporting on availability, pricing, content quality, and advertising efficiency.
• Conduct competitor and category analysis to identify marketplace opportunities.
• Participate in program rituals, including daily stand-ups, sprint reviews, and weekly Show & Tell sessions.

Requirements

• Recent graduate or final-year student in Data Science, Computer Science, Engineering, Economics, Business Analytics, Information Systems, or a related field.
• Curiosity about AI and agentic tools, with a willingness to learn quickly.
• Comfort working with APIs, structured data, and real-world datasets.
• Analytical mindset with the ability to identify trends and support decision-making.
• Strong communication skills to translate complex information into clear, actionable insights.
• Proactive, collaborative, and eager to learn in a fast-paced environment.
• Proficiency in Microsoft Office, particularly Excel and PowerPoint.
• Working fluency in English; fluency in Spanish required for roles based in Mexico City.

Skills

• Working knowledge of SQL or Python (preferred).
• Exposure to LLM or agentic tooling through academic or personal projects.
• Experience with reporting or data visualization tools.
• Interest in eCommerce, marketplaces, or digital commerce.
• Awareness of marketplace analytics platforms such as Stackline, Nubimetrics, or GFK.

Benefits

• Ownership of a defined market and measurable business outcome from day one.
• Mentorship from an experienced manager and a named mentor one level above.
• Direct exposure to major marketplaces like Amazon, Mercado Libre, and Takealot.
• Hands-on experience with AI-native tools, including the Agentic Jailbreak Big Build and APEX agents.
• Cross-functional collaboration with Sales, Digital Marketing, Performance Data, Marketplace Affiliates, and Media teams.
• Visibility with senior leaders through weekly Show & Tell sessions.
• Professional development, networking opportunities, and participation in the Early Careers community.
• Medical, dental, and vision insurance.
• Flexible spending accounts and health savings accounts (HSA) with company contribution.
• 401(k) retirement plan with matching.
• Employee stock purchase program.
• Life insurance, AD&D, short-term and long-term disability insurance.
• Generous paid time off, company holidays, and parental leave.
• Identity theft protection, pet insurance, pre-paid legal insurance, and back-up child/eldercare days.
• Product discounts and referral bonus program.

Pay

Annual salary range: $26,000–$29,000 USD.

Schedule

August to December 2026 (Fall program).