Simplify Logo

Full-Time

Sales Engineer

East Coast

Posted on 4/17/2024

Lamini AI

Lamini AI

11-50 employees

Customizes private language models for developers

Enterprise Software
AI & Machine Learning

Mid

Remote in USA

Category
Customer Success Management
Strategic Account Management
Sales & Account Management
Required Skills
Sales
Communications
Requirements
  • Bachelor’s degree in Computer Science, Engineering, or related field.
  • Proven experience in a technical sales or sales engineering role, preferably in data/AI.
  • Strong understanding of enterprise software solutions, cloud computing, networking, and cybersecurity principles.
  • Excellent communication and presentation skills, with the ability to convey technical concepts to both technical and non-technical audiences.
  • Ability to work independently and collaboratively in a fast-paced environment, managing multiple projects and priorities effectively.
  • Entrepreneurial mindset and startup experience are highly valued, such as having been a founder or technical leader at an early-stage company.
  • Willingness to travel as needed.
Responsibilities
  • Collaborate with the sales team to understand customer needs and provide technical expertise throughout the sales process.
  • Conduct product demonstrations and presentations to potential customers, showcasing the technical capabilities and benefits of our solutions.
  • Assist in the preparation of proposals, RFP responses, information security responses, and technical documentation.
  • Build and maintain strong relationships with customers, acting as a trusted advisor and technical point of contact.
  • Provide pre-sales support, including solution implementation guidance, troubleshooting, and technical assistance.
  • Gather customer feedback and insights to inform product development and enhancement initiatives.
  • Collaborate with the product management and engineering teams to relay customer requirements and contribute to product roadmap planning.

Lamini's LLM platform allows developers to create customized, private language models using technologies such as fine-tuning, RLHF, retrieval-augmented training, data augmentation, and GPU optimization, providing data privacy, ownership, flexibility, and cost control. The platform leverages the latest generation of models, including those from HuggingFace and OpenAI, to specialize language models based on specific use cases and data constraints.

Company Stage

Series A

Total Funding

$25M

Headquarters

Menlo Park, California

Founded

2022

Growth & Insights
Headcount

6 month growth

20%

1 year growth

71%

2 year growth

100%
INACTIVE