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

Key technologies and capabilities for this role

Sales StrategyTeam LeadershipPipeline DevelopmentForecastingEnterprise SalesConsultative SellingROI-Driven SalesAccount Management

Questions & Answers

Common questions about this position

Is this role remote or onsite?

The role is onsite in San Francisco, CA or New York, NY, with approximately 30% travel required.

What salary or compensation is offered for this position?

This information is not specified in the job description.

What experience and skills are required for the Director of Sales role?

Candidates need 3+ years in sales management and 7+ years in enterprise tech sales, with a proven record of $1M+ annual quota attainment, closing six- and seven-figure deals, and expertise in driving complex sales cycles of 6–18 months.

What is the company culture like at Latent AI?

Latent AI emphasizes a hands-on, doer culture where leaders wear a tech sales hat, thrive in ambiguity, operate with extreme ownership, and make meaningful impact on healthcare through AI.

What makes a strong candidate for this Director of Sales position?

A strong candidate has firsthand expertise closing $1M+ enterprise deals, experience leading sales teams to multi seven-figure quotas, and a consultative, ROI-driven approach to complex health tech sales.

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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