Product Manager at Luma AI

Palo Alto, California, United States

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$150,000 – $300,000Compensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Machine LearningIndustries

Requirements

Proven experience as a Product Manager, ideally with 3+ years leading product development in technology or AI-driven companies
Strong ability to understand and translate user needs into actionable product requirements and roadmaps
Demonstrated success in managing complex projects, including risk assessment and prioritization to meet deadlines
Excellent communication skills to effectively collaborate with cross-functional teams including engineering, design, and research
Experience engaging directly with customers and users to gather insights and validate product decisions
Curiosity and a thoughtful perspective on how AI can transform creative processes and product experiences
Ability to organize and drive projects from ideation through to shipping impactful features
Comfort working in a high-agency environment where you will define and shape the product management function
Familiarity with foundational AI models or related technologies (strong plus)
Track record of delivering strong product-market fit and measurable business outcomes

Responsibilities

Define and drive the product vision and roadmap, setting the foundation for product management at Luma
Collaborate closely with users to deeply understand their needs and translate insights into impactful product features
Lead cross-functional teams including engineering, design, and research to deliver high-quality product outcomes
Assess and manage project risks to ensure realistic timelines and successful delivery
Drive product-market fit by continuously iterating based on user feedback and data
Act as a key communicator between stakeholders to align priorities and maintain clear project direction
Champion innovation by exploring how AI can transform the creative process and enhance user experience
Influence the research roadmap by integrating user insights with foundational model capabilities
Foster a culture of curiosity and problem-solving within the product team

Skills

Product Roadmap

User Research

Cross-Functional Leadership

Product-Market Fit

Stakeholder Management

Risk Assessment

User Feedback Analysis

Data-Driven Iteration

Feature Development

Innovation Strategy

Luma AI

Develops multimodal AI technologies for creativity

About Luma AI

Luma AI develops multimodal artificial intelligence technologies that enhance human creativity and capabilities. Their main product, the Dream Machine, allows users to interact with various types of data, enabling creative professionals, businesses, and developers to explore innovative applications of AI. Unlike many competitors, Luma AI focuses on integrating multiple modes of interaction, which broadens the possibilities for users. The company operates on a subscription model, providing access to its AI tools and services, and aims to lead the way in AI-driven creativity and productivity.

San Francisco, CaliforniaHeadquarters

2021Year Founded

$84.9MTotal Funding

LATE_VCCompany Stage

Consumer Software, AI & Machine LearningIndustries

51-200Employees

Benefits

Company Equity

Stock Options

Risks

Competition from Google's Veo 2 and OpenAI's Sora Turbo challenges Luma AI's market position.

AWS's cost-reducing features may make Luma AI's services less competitive.

AI-generated content controversies could harm Luma AI's reputation if outputs are misleading.

Differentiation

Luma AI transforms text into 3D models, enhancing user interaction with digital content.

The Dream Machine integrates multimodal AI, offering a unique creative platform for users.

Luma AI's Photon models provide high-quality, personalized image generation capabilities.

Upsides

Luma AI's $90 million funding boosts its capacity for innovation and market expansion.

Dream Machine 1.5's advanced text-to-video features attract creative professionals and businesses.

Expanding Dream Machine into a mobile app increases accessibility and user engagement.

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