Fall 2026: AI/Sharks Applied AI & Analytics Co-op (August to December)

SharkNinja•Needham, MA

7d•$27 - $36•Hybrid

About The Position

SharkNinja is a global product design and technology company with a diversified portfolio of 5-star rated lifestyle solutions. We are building an AI-native culture and are looking for early career talent to join our AI/Sharks program. This five-and-a-half-month immersive co-op experience (August to December 2026) allows participants to work on real business problems, build production-ready AI solutions, and contribute to initiatives that create measurable impact across the company. Co-ops will be embedded directly into live SharkNinja projects with real ownership and deliverables, partnering with technical and business leaders. Participants will help build and scale solutions supporting SharkNinja’s AI transformation strategy, leveraging AI and analytics to turn data into actionable insights. The experience is part of SharkNinja’s Jailbreak AI initiative, providing exposure to real AI deployments and enterprise-scale innovation efforts. This program is designed for builders with experience in software engineering, AI/ML, full-stack development, automation, or data analytics who want hands-on experience in a fast-moving environment. Co-ops will receive access to tools like Claude Enterprise and an AWS sandbox, along with exposure to executives and innovation initiatives. Top performers may receive return offers or full-time opportunities, and all participants will receive a SharkByte AI Certification.

Requirements

Currently enrolled in a bachelor's or master's program, or have graduated within the past year
Able to work a full-time, 40-hour-per-week schedule with a minimum of 3 days per week onsite in either Needham, MA, Miami, FL, or New York, NY
Experience with data visualization tools (Tableau, Power BI, Looker, or similar)
Demonstrated experience building with AI (LLMs, automation workflows, agent frameworks, or prompt engineering) with examples you can speak to
Experience working with real-world or messy datasets
Working knowledge of SQL, Python, or similar tools through coursework or projects
Ability to approach problems in a structured and logical way
Interest in consumer products, retail, or e-commerce
Rarely Satisfied – Adopt a 'no delays' mentality in delivering against market needs/timing
Progress over Perfection – Make quick, daily progress and continuously adapt to achieve results rather than requiring perfect planning
Details Make the Difference – Brings rigor to data preparation, model assumptions, and analytical outputs; understands that the quality of an AI output is only as good as the quality of the input
Winning is a Team Sport – Ability to develop strong cross-functional relationships
Communicate for Impact – Strong communication skills; ability to deliver effective presentations to all levels of management

Responsibilities

Own the end-to-end scoping, analysis, and delivery of a defined business problem — from data gathering through insight communication
Design, iterate, and document AI prompts and workflows; take ownership of data preparation pipelines for assigned projects
Build and maintain dashboards, reports, or models that are actively used by internal teams — with full accountability for quality and accuracy
Identify trends, patterns, and insights within datasets and translate them into actionable recommendations
Use AI tools to improve efficiency and automate analytical workflows
Develop and test agentic workflow prototypes that reduce manual effort on high-friction business processes
Present findings and recommendations directly to team leads and business stakeholders
Identify data gaps or inconsistencies and propose solutions, not just flag them