Product Solutions Engineer

The role

The Product Solutions Engineer will support state customers by translating requests into features and bridging technical feasibility with user-centric design. This role involves collaborating with product managers and engineers to define requirements and contributing to the Center of Excellence through AI technology and automation.

What you will do

• Collaborate with product managers and engineers to define and prioritize product requirements.
• Capture, document, and communicate client requirements with the core team.
• Identify and manage risks and dependencies across cross-functional teams.
• Develop, utilize, and perform effective test strategies.
• Document technical specifications and maintain communication with stakeholders.
• Contribute to the continuous improvement of development processes and tools.
• Stay abreast of emerging technologies and industry trends.
• Provide technical support and troubleshooting.
• Provide client training and education on Ready Software tools.
• Work with engineering, product, and operations teams to optimize AI utilization.

Required qualifications

• Bachelor's degree with an emphasis on computer science, engineering, or similar technical field.
• 2-3 years experience working in an engineering role.
• Strong understanding of Agile development methodologies and experience working in cross-functional teams.
• Excellent communication, collaboration, and problem-solving skills.
• Passion for building user-friendly and impactful products.
• Ability to independently manage multiple tasks and prioritize effectively under pressure.
• Builder mentality with proven experience in customer facing roles.
• Ability to write clean, maintainable, and efficient code in at least one relevant programming language (e.g., React, Python etc).
• Demonstrated understanding of user experience (UX) principles and practices.
• Strong analytical and data-driven approach to problem-solving.
• Basic understanding of web technologies such as HTML5, CSS3, and web APIs.
• Proficiency in AI model monitoring, data validation, and automation tooling.

Nice to have

• Experience with AWS Bedrock, Python (including SQL knowledge), CI/CD (Docker, AWS), MLflow + Airflow, and Langchain or Pydantic-AI.
• Knowledge of LLM model evaluation, RAG architectures, LLM MCP servers, and LLM prompt engineering & function calls.

Benefits

• Competitive salary plus meaningful equity upside
• Competitive (and ever expanding) benefits for employees and dependents
• Opportunities to learn and grow
• Majority remote (WFH)
• Retreats 1-2x / year

About the company

Ready is a team of creative problem solvers approaching a legacy industry with a new point of view. They are an Equal Opportunity Employer.