Business Landscape Intern (Summer 23)

Join the leader in entertainment innovation and help us design the future. The Dolby U internship program offers impactful, project-based work experience in a collaborative, creative environment where you work side by side with industry leaders. Amplify your insatiable curiosity by implementing real-world solutions that revolutionize how people communicate and how entertainment is created, delivered, and enjoyed worldwide. We offer a collegial culture, challenging projects, and excellent compensation and benefits, not to mention a Flex Work approach that is truly flexible to support where, when, and how you do your best work. For any student seeking to gain invaluable expertise through meaningful, personal contributions, we invite you to join us in continuing to design a future where technology meets entertainment!

The Advanced Technology Group (ATG) is the research division of the company. ATG’s mission is to look ahead, deliver insights, and innovate technological solutions that will fuel Dolby’s continued growth. Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.

Our team is looking for an intern who has a passion for analyzing technology & industry trends, economic and technology control points within the entertainment industry and harvesting insights from signals and data analysis. This internship assists our team by building out key industry data sets that are not currently being tracked at Dolby and integrating them into our trend analysis. You will also be asked to perform deeper dives and competitive analysis in key areas of focus for Dolby research. You will present your analysis, insights and recommendations to relevant research teams and business group partners within Dolby. You will also help to build up automated trackers of key industry data for our research leads to benefit from and assist in our broader landscape analysis capabilities.   

We seek a resourceful and organized hard worker who works well with people, but who can also work independently.   

RESPONSIBILITIES:  

• You will have the opportunity to work across our research organization to understand their more specific needs from our landscape data and reports. What are the clear signals, point of views and industry understanding they are looking for and collate that information into digestible reports / presentations.  

• Build out important data sets & trackers (market, device, services, user behaviors) to stay on top of key trends, economic control points, supply chain and changing generational habits. Automate these trackers if possible   

• Perform research into key emerging technology trends and distill the relevance / implications to Dolby. Potential topics include virtual worlds, creator economy, interactive entertainment and smart home device control.   

• Perform competitive analysis into specific exploratory research areas Dolby is focusing on   

• Assist with our annual technology landscape analysis to frame / identify exploratory research, inform business alignment, and support prioritization decisions.  

QUALIFICATIONS:    

• Currently, doing an MBA or business leaning Masters / PhD in computer science, data analytics technical, or related fields.   

• Passion for audio / visual products and experiences  

• Able to analyze market data to understand economic control points and model addressable market  

• Demonstrated ability to reduce large datasets into well designed data graphics.   

• Examples of data modeling, forecasting and analytics creation  

• Knowledge of strategic analysis tools and methods  

• Interest and understanding of:  

• Product and competitive landscape analysis  

• ability to quickly learn and build-up sufficient knowledge in order to inform technology strategy  

• Strong oral and written communication, presentation, and interpersonal skills; excellent team member.  

We recognize that applying to internships can be a daunting process, especially if you have not had any previous internships, or if this is a new field of interest to you. Even if you do not have previous professional experience to meet the listed qualifications, we will consider relevant project, volunteer, and extracurricular experiences, and we encourage you to include them on your resume and apply. 

ELIGIBILITY 

Working towards an MBA or business leaning Masters / PhD in computer science, data analytics technical, or related fields; recent grads who are within 6 months of graduation are also eligible to apply. Must be available to work full-time Monday–Friday for 3 months starting from May/June 2023. 

Start date for the internship is as follows: (*note* this date is not flexible) 

• Monday, May 22, 2023 

• Monday, June 5, 2023 

• Monday, June 19, 2023 

The San Francisco/Bay Area base hourly range for this internship position is $39 - $47/hr., and can vary if outside of this location. Our hourly ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific hourly range and perks and benefits for your location during the hiring process.

Dolby will consider qualified applicants with criminal histories in a manner consistent with the requirements of San Francisco Police Code, Article 49, and Administrative Code, Article 12

Equal Employment Opportunity:
Dolby is proud to be an equal opportunity employer. Our success depends on the combined skills and talents of all our employees. We are committed to making employment decisions without regard to race, religious creed, color, age, sex, sexual orientation, gender identity, national origin, religion, marital status, family status, medical condition, disability, military service, pregnancy, childbirth and related medical conditions or any other classification protected by federal, state, and local laws and ordinances.