Sales Engineer/Solution Architect

Job Description

This job posting has expired and no longer accepting applications.

Lamini AI is at the forefront of bringing LLMs to production. We are on a mission to help every company unlock the power of generative AI by putting its own data to work. Our team is made up of highly committed engineers, researchers, and tech industry veterans. We’re backed by leading VCs as well as computing and technology companies.

We are seeking a dynamic and experienced Sales Engineer & Solution Architect to join our team. This role requires a unique blend of technical expertise, sales acumen, and solution architecture skills. The ideal candidate will be able to understand customer requirements, articulate complex technical concepts in a clear and concise manner, and design solutions that meet both business and technical needs.

About the role:

Technical Sales Support:

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.

Solution Architecture and Customer Success:

Work closely with customers to understand their business goals and technical requirements.

Design end-to-end solutions that address customer challenges and align with their business objectives.

Create detailed solution architectures, including system diagrams, specifications, and implementation plans.

Quickly onboard and orient to new codebases and systems

Provide timely, high-quality technical support in responding to customer inquiries

Diagnose and debug customer problems across software, integrations, and infrastructure

Build strong customer relationships and promote retention and expansion

Customer Relationship Management:

Build and maintain strong relationships with customers, acting as a trusted advisor and technical point of contact.

Provide post-sales support, including solution implementation guidance, troubleshooting, and ongoing technical assistance.

Product Feedback and Development:

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.

Qualifications:

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.

Experience in solution architecture and design, including proficiency in tools such as Visio or Lucidchart.

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

At Lamini AI, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. Lamini AI believes that diversity and inclusion among our employees is critical to our success as a company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. Selection for employment is decided on the basis of qualifications, merit, and business need.

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