Summary
Seagate Technology is seeking an intern to support strategic research, business analytics, and market assessment initiatives. The role focuses on AI infrastructure and storage demand, as well as recertified storage markets, through market research, ecosystem analysis, opportunity sizing, and executive-ready recommendations.
Responsibilities
- Analyze AI workloads across the market segments, including data collection, data preparation, model training, inferencing, model deployment, and long-term retention
- Research frontier AI models and AI platforms, including Claude, DeepSeek, Mistral, and other emerging models, to assess potential infrastructure and storage implications
- Evaluate how different AI workload patterns may impact the need for Flash, HDD, object storage, file storage, block storage, and hybrid storage architectures
- Identify market signals, technology shifts, and customer requirements that may influence future storage growth
- Synthesize findings into clear business objectives , executive presentations, and strategic recommendations on target market segments and applications
- Support development of go-to-market hypotheses, partner segmentation, and strategic opportunity sizing
- Analyze geographic growth regions and market segment hotspots where recertified storage may have stronger demand potential
- Analyze how archival, backup, cold-data, and secondary-storage environments deploy, refresh, manage, and retire storage infrastructure
- Assess customer pain points related to storage lifecycle management, including cost, capacity planning, warranty, sustainability, data retention, operational complexity, and asset disposition
- Map relevant ecosystem participants, including Global Systems Integrators, IT Asset Disposition providers, value-added resellers, channel partners, system builders, managed service providers, and specialized archival data center operators
Skills
- This role is designed for an MBA intern or a highly capable undergraduate student with strong analytical skills and an interest in AI infrastructure, data centers, storage technology, circular economy business models, and market strategy
- The ideal candidate is inquisitive, structured in problem-solving, and able to translate complex technical and market information into executive-ready business recommendations
- Strong interest in AI infrastructure, data centers, enterprise technology, cloud computing, storage systems, or technology market strategy
- Ability to break down ambiguous problems into clear workstreams, frameworks, and recommendations
- Demonstrated ability to conduct structured market research and translate findings into business insights
- Currently pursuing an MBA, master's degree, or undergraduate degree in Business, Strategy, Marketing, Finance, Economics, Data Analytics, Information Systems, Engineering, and/or a related field and returning to school in Fall 2027
- Strong analytical and quantitative skills, including comfort working with market data, customer segmentation, competitive information, and forecasting assumptions
- Strong written and verbal communication skills, with the ability to create executive-level presentations
- Travel : None
- Experience or coursework in business analytics, market sizing, competitive strategy, technology strategy, supply chain, or product marketing
- Familiarity with AI infrastructure concepts, including GPUs, model training, inferencing, data pipelines, data lakes, and enterprise AI deployment
- Understanding of storage technologies such as HDD, SSD, Flash, object storage, file storage, block storage, NAS, archival storage, and hybrid storage architectures
- Interest in sustainability, circular economy business models, refurbished or recertified technology markets, and product lifecycle monetization
- Ability to build structured Excel models, market maps, segmentation frameworks, and executive dashboards
- Experience with secondary research, industry reports, competitive benchmarking, customer interviews, or partner ecosystem analysis
- Comfort synthesizing technical concepts into business-oriented insights for senior leaders
- Proficiency with Microsoft Excel and PowerPoint; experience with data visualization or analytical modeling is a plus
Qualifications
Must Haves
- This role is designed for an MBA intern or a highly capable undergraduate student with strong analytical skills and an interest in AI infrastructure, data centers, storage technology, circular economy business models, and market strategy
- The ideal candidate is inquisitive, structured in problem-solving, and able to translate complex technical and market information into executive-ready business recommendations
- Strong interest in AI infrastructure, data centers, enterprise technology, cloud computing, storage systems, or technology market strategy
- Ability to break down ambiguous problems into clear workstreams, frameworks, and recommendations
- Demonstrated ability to conduct structured market research and translate findings into business insights
- Currently pursuing an MBA, master's degree, or undergraduate degree in Business, Strategy, Marketing, Finance, Economics, Data Analytics, Information Systems, Engineering, and/or a related field and returning to school in Fall 2027
- Strong analytical and quantitative skills, including comfort working with market data, customer segmentation, competitive information, and forecasting assumptions
- Strong written and verbal communication skills, with the ability to create executive-level presentations
- Travel : None
Nice to Haves
- Experience or coursework in business analytics, market sizing, competitive strategy, technology strategy, supply chain, or product marketing
- Familiarity with AI infrastructure concepts, including GPUs, model training, inferencing, data pipelines, data lakes, and enterprise AI deployment
- Understanding of storage technologies such as HDD, SSD, Flash, object storage, file storage, block storage, NAS, archival storage, and hybrid storage architectures
- Interest in sustainability, circular economy business models, refurbished or recertified technology markets, and product lifecycle monetization
- Ability to build structured Excel models, market maps, segmentation frameworks, and executive dashboards
- Experience with secondary research, industry reports, competitive benchmarking, customer interviews, or partner ecosystem analysis
- Comfort synthesizing technical concepts into business-oriented insights for senior leaders
- Proficiency with Microsoft Excel and PowerPoint; experience with data visualization or analytical modeling is a plus
Benefits
- Medical, dental, and vision benefits for eligible Interns
- Participation in the employee stock purchase plan for eligible Interns
- 12 paid holidays
- A minimum of 48 hours of paid sick leave
- On-site cafeteria at the Longmont product-design campus
- Breakfast and lunch at the Longmont on-site cafeteria
- Afternoon espresso prepared by a professional barista at the Longmont campus
- Sporting activities at the Longmont campus, including a 1-mile walking path, ping-pong, and volleyball
- 24-hour fitness center at the Longmont campus
- Community service opportunities
- Employee resource groups
- On-site café at the Normandale campus
- On-site fully equipped fitness center at the Normandale campus
- Wellness programs, outdoor activities, tournaments, and group workouts at the Normandale campus
- Meditation rooms at the Normandale campus
- Indoor walking path at the Normandale campus
- On-site cultural festivals and celebrations
- Community volunteer opportunities