Optimal Dynamics is a high-growth company focused on innovation in freight and transportation planning. The Sr. Platform Solutions Engineer plays a critical role in deploying the Optimal Dynamics platform and ensuring customer success by translating solution designs into data-driven configurations and validating optimization model outputs.
Responsibilities:
- Design and implement reliable data pipelines to ingest, transform, and load transportation data from diverse customer sources
- Integrate the Optimal Dynamics platform with customer systems using APIs, SFTP, flat files, and direct database connections
- Ensure data quality, completeness, and alignment with platform requirements and optimization needs
- Troubleshoot data or integration issues quickly and effectively in coordination with internal and customer teams
- Calibrate optimization and simulation models to reflect real-world operational constraints and customer objectives
- Collaborate with Solutions Engineers to translate solution design documents into and executable platform configurations
- Iterate on model parameters and technical settings based on output validation, performance metrics, and user feedback
- Validate that optimization recommendations align with expected outcomes and customer business rules
- Partner with Solutions Engineers to align data and model configurations with solution intent as a core technical lead on projects
- Participate in project planning, milestone tracking, and customer meetings, ensuring transparency and alignment
- Provide clear documentation of data flows, configurations, and technical decisions to support knowledge transfer and scaling
- Support feedback loops between Customer Success, Product, & Engineering teams
- Monitor system performance and model behavior during and after deployment to ensure solution effectiveness
- Identify calibration or integration updates based on operational feedback and observed data patterns
- Provide technical support to transitioned customers, including troubleshooting issues and resolving support tickets in coordination with the Customer Support team
- Serve as an escalation point for complex platform-related issues post-deployment
- Contribute to the continuous improvement of our deployment frameworks, tooling, and playbooks
Requirements:
- BSc or MSc degree in Computer Science, Engineering, Data Science, Math, or equivalent industry experience
- 5+ years of professional, hands-on product or data science engineering experience designing, building, and maintaining complex solutions with emphasis on full-stack solutions
- Proficiency in Python 3
- Hands-on experience with major cloud platforms (especially AWS)
- Hands-on relational database experience (i.e. Postgres, MySQL, SQL Server)
- Knowledge of ops research, optimization, and/or simulation models
- Some background experience in ML
- Experience with transportation optimization: i.e. network planning, asset-to-load assignment, or routing and dispatch decision support
- You design and deploy technical solutions with a clear focus on customers' goals and constraints
- You work methodically to validate assumptions, spot discrepancies, and optimize system performance
- You partner naturally with engineers, PMs, and executives to deliver end-to-end solutions
- You take initiative, value follow-through, and quality output
- You translate complex technical issues into actionable insights for both internal teams and external partners
- You're driven by continuous learning, adapting, and bringing best practices to your work
- Proficiency in IaC (preferably Terraform)
- Familiarity with modern data tools such as dbt and DuckDB
- Experience with monorepo management tools (e.g., Bazel, Buck)