Location

Remote

About the Company

Lumi AI is a fast growing, venture-backed startup with a mission to help companies find value hidden in their raw data. Our platform enables data teams to offer self-service analytics via natural language prompting, allowing non-technical business users to extract highly specific insights inaccessible through centralized dashboards, freeing up data teams for more strategic work. You can think of Lumi as your personal data analyst AI available 24/7.

Lumi AI was founded by leaders from the data, AI, and tech industry and backed by top investors from New York and around the world. We believe in innovation, fun, a strong work culture, and building a world-class team. At Lumi, we are continually pushing the boundaries of what's possible to better serve our clients and revolutionize the tech landscape.

About the Role

We understand the value and satisfaction of working with a world-class team, where every team member excels at their work and effectively collaborates. At Lumi AI, we are committed to this excellence.

We are seeking a highly skilled Value Engineer to join our team. This role is pivotal in onboarding clients and uncovering valuable insights from raw data through advanced prompting. The ideal candidate will possess a blend of technical expertise and client-facing acumen, ensuring seamless integration of our solutions into client operations and maximizing their strategic value. The successful candidate will collaborate directly with our CEO and contribute to evolving our state-of-the-art AI technologies.

Role Responsibilities

  1. Lead client onboarding processes, ensuring a smooth transition and integration of our AI analytics platform into their operations.
  2. Utilize advanced prompting techniques to extract meaningful insights from raw data, enabling clients to make data-driven decisions swiftly.
  3. Contribute to evolving our playbooks aimed at helping clients instantly unearth value through pre-made prompt
  4. Conduct training sessions for clients, empowering them to leverage our platform for maximum benefit.
  5. Collaborate with the development team to provide feedback on client needs and potential product enhancements.

Qualifications

  1. Bachelor's Degree in Engineering, Computer Science, or related field.
  2. Prior experience in a client-facing role such as Data Scientist, Data Analyst, or Data Engineer, with a proven track record of leveraging data to drive decision-making. Direct experience in extracting insights from operational ERPs (e.g., SAP, Oracle, MS Dynamics) is highly desirable.
  3. Prior experience in a consulting role is highly desirable, showcasing the ability to understand diverse client needs and crafting tailored solutions.
  4. Demonstrated experience in building robust data models, defining semantic layers for self-service reporting, and facilitating data-driven insights.