Director at Latent AI

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Artificial Intelligence, SoftwareIndustries

Requirements

3+ years in sales management
7+ years enterprise tech sales experience
Proven record of $1M+ annual quota attainment and closing six- and seven-figure deals
Expertise in driving complex sales cycles (6–18 months, brought down to 4-6 months)
Consultative seller with strong ROI storytelling skills
Proven ability to influence C-suite and clinical leaders
Experience with ROI based selling in AI, analytics, SaaS, or deep-tech
Willingness to travel ~30%

Responsibilities

Lead and develop a sales team: Recruit, coach, and mentor AEs and SRDs
Set and execute sales strategy: Define territory coverage, account plans, pipeline development, and forecasting
Engage in strategic deals directly: Co-pilot enterprise opportunities through the full sales cycle
Develop and influence executive-level relationships: Build trust with CPOs, CMOs, CIOs, Pharmacy leadership, Legal, and Compliance stakeholders
Navigate complex procurement and contracting: Oversee sophisticated negotiations
Partner cross-functionally: Collaborate with product, engineering, account management, and implementation teams
Own forecasting and reporting: Maintain CRM discipline, pipeline visibility, and performance tracking

Skills

Sales Strategy

Team Leadership

Pipeline Development

Forecasting

Enterprise Sales

Consultative Selling

ROI-Driven Sales

Account Management

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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