SchoolAI

Education Requirements:

• Bachelor's degree in Education, Business, or related field

Experience Requirements:

• 5+ years of customer success or account management experience

• Experience working with K-12 and HE schools or districts

• Strong project management skills

• Excellent communication and presentation abilities

• A data-driven approach to problem-solving

Other Requirements:

• Strong relationship-building and stakeholder management

• Proactive problem-solving abilities

• Excellent time management and organizational skills

• Ability to work independently while contributing to team goals

• Clear written and verbal communication

• Adaptability and flexibility in a fast-paced environment

• Experience using a CRM platform

Responsibilities:

• Manage a portfolio of K-12 and HE partners through the entire customer lifecycle

• Lead implementation and onboarding processes for new school and district partners

• Monitor and drive product adoption, usage, and engagement metrics

• Execute pilot programs, ensuring clear success criteria and evaluation processes

• Develop and maintain relationships with key stakeholders at partner institutionsmanage renewal processes and maintain high retention ratesdocument customer feedback and collaborate with internal teams to improve product and processesTrack and report on customer health metrics and success indicators

Experience Requirements:

• Have 3-5 experience in developing, training, and deploying ML solutions such as LLM-based agent systems, semantic search, or recommendation engines

• Have some relevant ML experience related to semantic understanding, text similarities, clustering, classification, emotion detection, and expressive summarization

• Have a working understanding of domain driven design and decentralized decoupled software architectures

• Lean toward action and experimentation with a priority towards rapid prototyping

• Approach problems from a first principles mindset and question assumptions

Other Requirements:

• Are naturally curious and willing to take a step to learn something new and you don’t always revert to solving problems the same way you’ve solved problems in the past

• Have experience with SQL, Python, NLTK or Spacy or other NLP libraries, PyTorch or JAX or TensorFlow.

• We don't expect you to be an accelerated compute engineer, but exposure to networked, multi-rank GPUs is a huge bonus

• DGL and data visualization experience is a plus

Responsibilities:

• Using massive amounts of historical and realtime conversational data, you will develop, train, automate, and deploy LLMs and other models for semantic understanding, text similarities, clustering, classification, emotion detection, and expressive summarization

• You'll build composable, hierarchical, graph-based agentic RAG systems

• Work with product management and design roles to understand and empathize with end customer needs

• Build end-to-end ML solutions spanning from data access (SQL) to model endpoint (API / batch service) and deploy to cloud based staging environments by collaborating with software engineers

• Research, experiment, and deploy new ML methods to enhance our products

Experience Requirements:

• Have 3+ years of full stack web development experience with React, Node.js and TypeScript

• Are familiar with managing and evolving relational database schemas

• Have a strong desire to pair program

• Are familiar with GCP, AWS, or an equivalent cloud platform

• Have excellent communication skills, and are enthusiastic about collaborating on cross-functional teams

Responsibilities:

• Work with product management and product design roles to understand and empathize with customer needs

• Build product prototypes to understand market viability and effectiveness

• Work with product designers to build pixel perfect software that will delight customers

• Work with data scientists and AI/ML engineers to integrate and implement machine learning models into real world production environments

• Monitor the performance and adoption of what’s built to ensure we are headed in the right direction