Director Product Management, AI Products
GE HealthcareSalary not specified
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI, TechnologyIndustries
Requirements
- Strategic thinker
- Customer advocate
- Data-driven decision-maker
- Experience in product management
- Ability to work in a fast-paced, deep tech environment
Responsibilities
- Serve as the voice of the customer, shaping product direction based on their needs and pain points
- Partner with sales and customer success teams to gather insights and translate them into actionable requirements
- Define and communicate a clear product vision aligned with Latent AI’s mission and business goals
- Develop and maintain a product roadmap to guide cross-functional teams effectively
- Manage the product lifecycle, from ideation to launch and ongoing iterations
- Define and track key performance metrics (KPIs) to measure success and drive continuous improvement
- Act as the central point of coordination among engineering, design, marketing, and sales teams
- Foster a collaborative and trust-driven environment to enable…
Skills
Product Management
Product Roadmap
KPIs
Customer Insights
Strategic Planning
Data-driven Decisions
Cross-functional Collaboration
Product Lifecycle
Customer Advocacy
Latent AI
Optimizes AI for edge computing applications
About Latent AI
Latent AI focuses on enhancing artificial intelligence for edge computing, which involves processing data close to where it is generated, like on smartphones and IoT devices. Their main product is an edge MLOps workflow that automates and simplifies the deployment of AI models on these devices, ensuring they are efficient, secure, and require minimal maintenance. This company stands out from competitors by specifically targeting the edge computing market and providing a software development kit (SDK) called Latent LEIP, which aids developers in creating and deploying AI models. The goal of Latent AI is to make AI more accessible and efficient for applications that need real-time data processing, such as in autonomous vehicles and smart cities.
Menlo Park, CaliforniaHeadquarters
2018Year Founded
$21.9MTotal Funding
SERIES_ACompany Stage
Automotive & Transportation, Enterprise Software, AI & Machine LearningIndustries
51-200Employees
Risks
Competition from tech giants like Google and Amazon threatens Latent AI's market share.
Rapid AI advancements may outpace Latent AI's current capabilities, requiring continuous innovation.
Dependency on key partnerships, like Booz Allen, poses risks if relationships change.
Differentiation
Latent AI specializes in optimizing AI for edge computing applications.
Their edge MLOps workflow ensures efficient, secure AI model deployment on edge devices.
Latent AI's SDK, Latent LEIP, streamlines AI model creation and deployment for developers.
Upsides
Growing interest in federated learning enhances privacy and efficiency for edge AI.
The rise of TinyML aligns with Latent AI's focus on resource-constrained edge devices.
5G technology adoption boosts data transmission speed for Latent AI's solutions.
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