Account Executive at Latent AI

Washington, District of Columbia, United States

Latent AI Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
AI, GovernmentIndustries

Requirements

  • Experience driving sales and building relationships within the federal government sector
  • Self-motivated individual who thrives in a fast-paced startup environment
  • Passionate about AI and technology

Responsibilities

  • Develop and execute a sales strategy to identify and close new business opportunities within the federal government sector
  • Build and maintain strong relationships with key stakeholders at government agencies and other public sector organizations
  • Work closely with cross-functional teams, including product development and engineering, to align solutions with client needs and ensure successful delivery of products and services
  • Manage the entire sales cycle, from prospecting and lead generation to negotiation and closing
  • Prepare and deliver compelling sales presentations and demonstrations tailored to the unique needs of public sector clients
  • Respond to RFPs and RFQs, ensuring that proposals are customized to meet client requirements and showcase Latent AI’s solutions

Skills

Key technologies and capabilities for this role

Federal Government SalesSales StrategyRelationship BuildingRFP ResponseRFQ ResponseSales PresentationsNegotiationLead GenerationProspectingSales Cycle Management

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a remote position.

What is the salary for this Account Executive role?

This information is not specified in the job description.

What skills and experience are required for this role?

The role requires experience driving sales and building relationships within the federal government sector, being self-motivated and thriving in a fast-paced startup environment, and being passionate about AI and technology.

What is the company culture like at Latent AI?

Latent AI has a diverse, ambitious team of scientists, engineers, entrepreneurs, and visionaries who value mentorship, personal and professional growth, collaboration, and thinking big in a fast-paced startup environment.

What makes a strong candidate for this Account Executive position?

A strong candidate has experience in federal government sales, is self-motivated and thrives in a fast-paced startup, and is passionate about AI and technology.

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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