MindsDB is an open-source platform designed to accelerate machine learning workflows by generating predictions at the data layer with virtual AI Tables so you can consume predictions as regular data and query them with standard SQL, reduce development and deployment complexity using AutoML, and improve insight into machine learning model accuracy - increasing prediction confidence.

ABOUT US

MindsDB is a fast-growing open-source company that enables developers to quickly integrate Artificial Intelligence Logic into applications and ship AI-powered solutions from prototyping & experimentation to production in a fast & scalable way.
 
MindsDB was founded in 2017 by Adam Carrigan (COO) and Jorge Torres (CEO) and based in San Francisco, California, is backed with over $55M in total funding from Mayfield, Benchmark, YCombinator, and nVidia. MindsDB is also recognized by Forbes as one of America's most promising AI companies (2021) and by Gartner as a Cool Vendor for Data and AI (2022).

THE ROLE

We are looking for a sales engineer to work within our partnerships and sales teams to design and deliver AI solutions based on MindsDB to customers.  The AI landscape is changing quickly, and MindsDB customers appreciate detailed, technical guidance in designing and building AI systems such as ‘agents’.  The sales engineer should have a familiarity with the current options for an ‘AI stack’, including libraries such as LangChain, Llama Index, model families and types, vector DBs and other tools in order to guide customers on the best solution for their use case.

To apply for this role you must be based in the San Francisco Bay Area, California.

WHAT YOU’LL BE WORKING ON

• Embedding within the business development team to serve as a technical thought partner in the sales process.
• Providing technical expertise and insights during the sales process and presenting MindsDB as a solution.
• Demonstrating MindsDB’s capabilities to potential customers in a way that is tailored to their specific workflow, IT architecture, and requirements.
• Leading technical discovery sessions to understand alignment and disconnects with the MindsDB solution.
• Answering technical questions from prospects.
• Creating reference architectures (may be supported by an ML engineer or may act independently).
• Analyzing customer requirements and designing solutions to meet them.
• Serving as a conduit to channel customer feedback to the product team.
• Maintaining deep market and industry expertise (AI and ML models, databases, etc).
• Contributing to technical resources and documentation.
• Helping to scale the solutions engineering function as the team grows.

REQUIREMENTS/QUALIFICATIONS

• BA/BS degree, preferably in computer science or a related field.
• 3-7 years in a solutions engineering or architect role or equivalent.
• SQL expertise.
• Enjoys working with customers.
• Ability to travel up to 15% of the time for face-to-face meetings.
• Scrappiness, independence, end-to-end project ownership.

NICE TO HAVE

• Experience with AI / LLMs
• Experience with ML or predictive analytics
• Located in SF / Bay Area
• Seen a company grow from 10-50 to 200+ employees

BENEFITS & PERKS

• Remote and Hybrid Roles
• Flexible Working Hours
• Competitive Compensation
• Competitive Medical, Dental, Vision, Life Insurance
• 401k with up to 6% matching
• Unlimited PTO
• New Hire Remote Setup budget ($1500)
• Lunch Provided Mon-Fri
• Internet Budget ($25/month)
• Commuter Budget ($1200/year)
• Learning & Development budget
• Wellbeing Budget ($1200/year)
• Monthly (virtual) team events
• International in-person company retreats
• Wellbeing/Mental Health leave

DIVERSITY, EQUALITY & INCLUSION

MindsDB is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all of our employees. MindsDB will give all qualified applicants consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances.​

Salary Range

$180,000—$198,000 USD

With the plethora of data available in databases today, applying predictive modeling can often feel overwhelming - especially if you need to write complex applications for ingesting data, training encoders and embedders, writing sampling models, training, optimizing, scheduling, versioning, moving models into production environments, maintaining them and then having to explain the predictions and the degree of confidence… we thought there had to be a better way!

We aim to steer you away from constantly reinventing the wheel by abstracting most of the unnecessary complexities around building, training, and deploying machine learning models. MindsDB provides you with two techniques for this: Build and train models as simply as writing a SQL query, and seamlessly “publish” and manage machine learning models as virtual tables inside your databases. (right now we support Clickhouse, MariaDB, Mysql, PostgreSQL, MSSQL, MongoDB and Snowflake).

GitHub: https://github.com/mindsdb/mindsdb Docs: https://docs.mindsdb.com/