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Product Manager, Video Capabilities

DeepMind
Full-time
On-site
Mountain View, California, United States
🎬 Video Marketing

πŸ“Œ Core Information

πŸ”Ή Job Title: Product Manager, Video Capabilities

πŸ”Ή Company: DeepMind

πŸ”Ή Location: Mountain View, California, US & San Francisco, California, US

πŸ”Ή Job Type: Full-time, On-site

πŸ”Ή Category: Research Services

πŸ”Ή Date Posted: 2025-07-18

πŸ”Ή Experience Level: 10+ years

πŸ”Ή Remote Status: On-site

πŸš€ Job Overview

Key aspects of this role include:

  • Defining the product strategy and roadmap for video editing and control capabilities
  • Driving product landings in Google’s own products and out to enterprises via Cloud Vertex APIs
  • Influencing technical roadmaps to align with product vision and priorities
  • Driving innovation by brainstorming, conceptualizing, and prototyping novel creation experiences
  • Championing quality by defining quality bars and establishing evaluation frameworks

ASSUMPTION: This role requires a strong understanding of the video editing and control technology landscape, as well as the ability to translate complex technical concepts into clear, actionable product plans.

πŸ“‹ Key Responsibilities

βœ… Craft a compelling vision by defining the product strategy and roadmap for video editing and control capabilities

βœ… Drive product landings by delivering these capabilities in Google’s own products and out to enterprises via Cloud Vertex APIs

βœ… Influence technical roadmaps by working alongside research and engineering teams to ensure alignment with product vision and priorities

βœ… Drive innovation by brainstorming, conceptualizing, and prototyping novel creation experiences powered by video editing and control capabilities

βœ… Champion quality by defining quality bars for video editing and control features and establishing a robust evaluation framework

ASSUMPTION: This role requires strong stakeholder management skills, as well as the ability to deliver products that drive customer success and market leadership.

🎯 Required Qualifications

Education: Bachelor's degree

Experience: 8 years of experience in product management, consulting, co-founder, or related role

Required Skills:

  • Proven track record of driving launches through complex stakeholder management
  • Ability to deliver products that drive customer success and market leadership
  • Familiarity with ML/AI products
  • Experience working on video creation or production

Preferred Skills:

  • Experience building and shipping technical products

ASSUMPTION: While a Bachelor's degree is required, a relevant Master's degree or equivalent experience may be considered.

πŸ’° Compensation & Benefits

Salary Range: $183,000 - $271,000 + bonus + equity + benefits. The specific salary range for your targeted location will be discussed during the hiring process.

Benefits:

  • Bonus
  • Equity
  • Benefits

Working Hours: Full-time position with standard working hours

ASSUMPTION: The salary range provided is based on industry standards for a product manager role with 10+ years of experience in the tech industry.

πŸ“Œ Applicant Insights

πŸ” Company Context

Industry: Research Services, focusing on advancing the state of the art in artificial intelligence

Company Size: 501-1,000 employees, providing a large-scale work environment with diverse opportunities

Founded: 2010, with a history of breakthroughs in fundamental AI research and real-world applications

Company Description:

  • DeepMind is a team of scientists, engineers, machine learning experts, and more, working together to advance the state of the art in artificial intelligence
  • The company uses its technologies for widespread public benefit and scientific discovery, collaborating with others on critical challenges while ensuring safety and ethics are the highest priority
  • DeepMind's long-term aim is to solve intelligence, developing more general and capable problem-solving systems known as artificial general intelligence (AGI)

Company Specialties:

  • Artificial Intelligence and Machine Learning

Company Website: https://www.deepmind.google

ASSUMPTION: DeepMind's focus on AI research and development creates an innovative and dynamic work environment.

πŸ“Š Role Analysis

Career Level: Senior-level role, requiring extensive experience in product management

Reporting Structure: This role may have direct reports and collaborate with cross-functional teams, including research and engineering teams

Work Arrangement: On-site, with the possibility of hybrid or remote work arrangements in the future

Growth Opportunities:

  • Potential to influence the direction of AI research and development within the company
  • Opportunities to work on cutting-edge technologies and drive innovation in the video editing and control space
  • Possibility to advance to leadership or management roles within the product management team

ASSUMPTION: This role offers significant growth opportunities for the right candidate, with the potential to make a significant impact on the company's success.

🌍 Location & Work Environment

Office Type: On-site, with the possibility of hybrid or remote work arrangements in the future

Office Location(s): Mountain View, California, US & San Francisco, California, US

Geographic Context:

  • Mountain View and San Francisco are both located in the San Francisco Bay Area, offering a diverse range of cultural, recreational, and professional opportunities
  • The region is known for its mild Mediterranean climate, with warm, dry summers and cool, wet winters
  • The Bay Area is a major hub for technology and innovation, providing ample networking and career advancement opportunities

Work Schedule: Standard full-time working hours, with the possibility of flexible scheduling or remote work arrangements in the future

ASSUMPTION: The on-site work arrangement may change in the future, with the possibility of hybrid or fully remote work.

πŸ’Ό Interview & Application Insights

Typical Process:

  • Initial interview to discuss the role and assess cultural fit
  • Technical interview to evaluate product management skills and understanding of video editing and control technologies
  • Final interview with key stakeholders to discuss the role's fit within the organization and make a hiring decision

Key Assessment Areas:

  • Product management skills and experience
  • Understanding of video editing and control technologies
  • Ability to drive innovation and champion quality
  • Cultural fit and alignment with DeepMind's values and mission

Application Tips:

  • Tailor your resume and cover letter to highlight your relevant experience and skills for this role
  • Be prepared to discuss your understanding of video editing and control technologies, as well as your ideas for driving innovation in this space
  • Demonstrate your ability to manage complex stakeholder relationships and deliver products that drive customer success and market leadership

ATS Keywords: Product Management, Video Editing, Video Control, Innovation, Quality Assurance, Roadmap Development, Stakeholder Management, Machine Learning, AI Products

ASSUMPTION: The interview process may vary depending on the specific needs of the hiring team and the candidate's qualifications.

πŸ› οΈ Tools & Technologies

  • Google's product management tools and frameworks
  • Video editing and control software and platforms
  • Machine learning and AI development tools

ASSUMPTION: The specific tools and technologies required for this role may vary depending on the candidate's qualifications and the team's needs.

πŸ‘” Cultural Fit Considerations

Company Values:

  • Safety and ethics are the highest priority
  • Collaboration and teamwork are essential for success
  • Innovation and continuous learning drive progress

Work Style:

  • On-site work arrangement, with the possibility of hybrid or remote work in the future
  • Collaborative and cross-functional team environment
  • Focus on driving innovation and delivering high-quality products

Self-Assessment Questions:

  • Do you share DeepMind's commitment to safety and ethics in AI development?
  • Are you comfortable working in a collaborative, cross-functional team environment?
  • Do you have a passion for driving innovation and delivering high-quality products in the video editing and control space?

ASSUMPTION: DeepMind's focus on safety, ethics, collaboration, and innovation creates a unique work environment that may not be suitable for all candidates.

⚠️ Potential Challenges

  • The role requires a strong understanding of video editing and control technologies, as well as the ability to translate complex technical concepts into clear, actionable product plans
  • The role involves driving innovation and championing quality, which may require working with diverse stakeholders and managing complex projects
  • The on-site work arrangement may change in the future, requiring flexibility and adaptability
  • The role may require working on cutting-edge technologies and driving innovation, which can be challenging and unpredictable

ASSUMPTION: The potential challenges of this role require a candidate with strong technical skills, adaptability, and a passion for driving innovation in the video editing and control space.

πŸ“ˆ Similar Roles Comparison

  • This role is unique in its focus on video editing and control technologies and the opportunity to drive innovation in this space
  • Compared to other product management roles, this role requires a strong understanding of video editing and control technologies and the ability to translate complex technical concepts into clear, actionable product plans
  • Career path comparison: This role offers significant growth opportunities for the right candidate, with the potential to make a significant impact on the company's success and advance to leadership or management roles within the product management team

ASSUMPTION: This role is unique in its focus on video editing and control technologies and the opportunity to drive innovation in this space, making it an attractive option for candidates with relevant experience and skills.

πŸ“ Sample Projects

  • Developing a new video editing tool that leverages AI and machine learning to enhance creativity and productivity
  • Creating a video control platform that enables users to easily adjust lighting, composition, and other visual elements in their videos
  • Building a full storyboard generation tool that automatically creates storyboards from a handful of reference images, using AI and machine learning algorithms

ASSUMPTION: These sample projects are intended to illustrate the types of initiatives a product manager in this role might work on, but the specific projects may vary depending on the candidate's qualifications and the team's needs.

❓ Key Questions to Ask During Interview

  • Can you describe the current video editing and control technology landscape and how this role fits into it?
  • How does this role collaborate with research and engineering teams to ensure alignment between technical roadmaps and product vision and priorities?
  • What are the key challenges facing the video editing and control space, and how does this role address them?
  • How does this role drive innovation and champion quality in the video editing and control space?
  • What are the key performance indicators (KPIs) for success in this role, and how will they be measured?

ASSUMPTION: These key questions are intended to help candidates better understand the role's requirements and expectations, as well as the company's goals and objectives.

πŸ“Œ Next Steps for Applicants

To apply for this position:

  • Submit your application through this link
  • Tailor your resume and cover letter to highlight your relevant experience and skills for this role
  • Prepare for the interview by researching video editing and control technologies and developing ideas for driving innovation in this space
  • Follow up with the hiring manager after the interview to express your interest in the role and ask any remaining questions

⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.