Platform Solutions Engineer, Optimal Dynamics
$90-130k
Less than 25% travel
AI for logistical planning
Open for applications
AI for logistical planning
21-100 employees
Open for applications
$90-130k
Less than 25% travel
21-100 employees
Company mission
To automate and optimize the logistics industry through High-Dimensional Artificial Intelligence.
Role
Who you are
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience
- 2+ years of experience in a technical support, solutions engineering, or customer-facing engineering role, ideally within a SaaS or logistics technology environment
- Strong troubleshooting skills with the ability to identify, isolate, and resolve technical issues efficiently
- Proficiency in writing and maintaining technical documentation and user guides
- Familiarity with databases (e.g., SQL), APIs, and common support tools (e.g., Jira, Zendesk, Confluence)
- Experience working with data and business intelligence tools (e.g., Looker, Tableau, Power BI) is a strong plus
- Excellent communication and interpersonal skills with a customer-first mindset
- Ability to manage multiple priorities in a dynamic, fast-paced environment
What the job involves
- The Platform Solutions Engineer (PSE) serves as a technical bridge between Optimal Dynamics' platform, customer operations, and internal teams
- This role supports both new deployments and existing customers, helping to implement data integrations, calibrate optimization models, monitor post-deployment performance, and resolve technical issues
- The PSE plays a hands-on role in ensuring that customer solutions are technically sound, stable, and aligned with operational objectives
- Design and maintain data pipelines to ingest, transform, and load transportation data from diverse customer sources
- Integrate customer systems using APIs, flat files, SFTP, or direct database connections
- Ensure data completeness, accuracy, and alignment with optimization requirements
- Troubleshoot integration and data issues in collaboration with internal and external teams
- Support the calibration of optimization and simulation models based on customer constraints and operational goals
- Translate solution design inputs into executable platform configurations
- Validate optimization outputs against expected results and customer rules
- Iterate on model parameters and configuration settings based on feedback and performance metrics
- Monitor system and model performance to ensure sustained solution effectiveness
- Identify and implement calibration or integration updates based on live operations and customer feedback
- Provide ongoing support for transitioned customers, including resolving support tickets
- Serve as an escalation point for initial technical issues post-deployment
- Contribute to the evolution of internal deployment playbooks and technical tooling
- Partner with Solutions Engineers, Customer Success Managers, and Product teams to align technical execution with business needs
- Participate in project planning, internal handoffs, and customer meetings as needed
- Maintain clear documentation of data flows, configurations, and troubleshooting paths
- Help inform product and process improvements through insight gained from customer interactions
- Maintain up-to-date knowledge of the Optimal Dynamics platform and product roadmap
- Support internal analytics and business intelligence tools to improve customer visibility and platform monitoring
Our take
Market volatility and overburdening are continual problems in the freight industry. Now that the boom in e-commerce has home-deliveries on the rise, costly and inefficient ‘last-mile’ journeys are increasing too. Optimal Dynamics is looking to revolutionize freight through high-dimensional artificial intelligence.
CORE.ai, Optimal Dynamics' proprietary software-as-service product, helps shippers optimize logistics using flexible, open API protocol to create probabilistic profit-maximizing strategies. This software gives them a material competitive edge in this respect, as it tackles the kind of growing uncertainty and complexity the industry is grappling with.
Optimal Dynamics' plans going forward include continual development into their software, such as through an integration partnership with McLeod software that will help expedite deployment periods and its 2023 Bid solution for truckload carriers. It is also doubling its workforce to keep up with the rapid growth the company is experiencing.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
1% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
May 2025
$33.3m
LATE VC
Apr 2022
$33m
SERIES B
Total funding: $88.7m
Company benefits
- We offer competitive pay on all positions
- 401(k) with matching
- 100% covered health/dental/vision benefits
- Flexible work from home: We think the office is a tool for meetings, and not required to get work done
- Equity: Every Optimal Dynamics employee is a shareholder
Company HQ
NoMad, New York, NY
Leadership
Daniel Powell
(Co-founder & CEO)After studying at Elon University and interning at Merrill Lynch and Princeton, Daniel co-founded Optimal Dynamics in August 2014. Since then, he has served as CEO full-time.
Warren Powell
(Co-Founder & Chief Analytics Officer)Previously, Warren was a Professor and Director at Princeton University for 39 years.
Share this job
View 4 more jobs at Optimal Dynamics