About The Role

We’re looking for a Senior AI Engineer to lead the 0→1 buildout and 1→n scaling of AI capabilities at Optimal Dynamics. You’ll set direction, establish engineering standards, and deliver production systems that ground AI outputs in trustworthy company and customer data. This is a hands-on role with broad ownership where you’ll make key architecture and tooling choices and evolve them as we learn.

Key Responsibilities:

• Own RAG initiatives end-to-end from problem framing and data readiness through prototyping, iteration, and production launch.
  
  
• Establish foundational components and practices for document processing, indexing, retrieval, orchestration, and evaluation; selecting tools and approaches that balance quality, cost, and speed.
  
  
• Build reliable services and APIs that are observable, secure, and designed for scale in a cloud environment.
  
  
• Define success metrics (quality, latency, cost, safety) and drive continuous improvement via experimentation and data-driven decisions.
  
  
• Create durable team assets (i.e. playbooks, test harnesses, checklists, and documentation) to make RAG development repeatable across products.
  
  
• Collaborate cross-functionally with Product, Data/ML, Engineering, and GTM to translate ambiguous needs into shippable capabilities with clear business impact.
  
  
• Mentor teammates and contribute to a strong engineering culture around AI systems and responsible deployment.

Who You Are

• Experienced: a Senior, hands-on engineer who can take a fuzzy problem from discovery to reliable production outcomes.
  
  
• Pragmatic: You balance quality, cost, speed, and risk to ship value iteratively.
  
  
• Innovative: Comfortable choosing and evolving the stack as needs change; you create guardrails and standards along the way.
  
  
• Communicative: You have the ability to align stakeholders and translate complex technical ideas into clear decisions.
  
  
• Operational Owner: You care about reliability, observability, and measurable impact on customers and the business.

Key Qualifications

• 4+ years of proven industry experience building and operating backend, platform, or data services at production scale 
• Bachelor's degree in Computer Science, Electrical Engineering, Operations Research, or Mathematics/Physics
• Proven track record delivering data or ML-powered features end-to-end (Discovery/Prototyping > Launch > Iteration).
• Python Proficiency - you write well-tested & maintainable code.
• API design expertise and experience with cloud services (preferably AWS)
• Familiarity with information retrieval concepts and grounding AI systems in trustworthy data.
• Comfort setting technical direction, selecting tools, and establishing engineering best practices for AI-focused builds. 

Nice to Have (Bonus Points)

• Experience introducing retrieval-augmented or knowledge-grounded AI capabilities in a product or platform context.
• Exposure to evaluation methodologies for AI systems (quality, latency, cost, safety) and running experiments/A-B tests.
• Background working with unstructured data pipelines, indexing, and search, whether homegrown or via managed services.
• Experience mentoring engineers, uplifting practices, and creating reusable playbooks and templates.
• Experience in the transportation, logistics, or broader supply chain industry.
• Customer-facing collaboration comfort: gathering requirements, scoping MVPs, and measuring ROI post-launch.

Why Join Us

At Optimal Dynamics, you’ll work with a world-class AI team and industry experts to tackle some of the most complex and impactful challenges in logistics. You’ll have the opportunity to shape a greenfield capability from the ground up—setting strategy, architecture, and standards while seeing your work directly power decisions for leading logistics companies. You’ll thrive in a pragmatic, collaborative culture with tight feedback loops, the autonomy to choose the right tools, and the support to make bold ideas a reality. Along the way, you’ll partner with experienced engineers, data and ML practitioners, and industry experts.

If you’re passionate about building AI products that solve real-world problems, we’d love to hear from you.

About the Role

Optimal Dynamics is seeking a Senior Software Engineer, Frontend to join our Product Engineering team and lead the development and evolution of our customer-facing web applications. This role is focused on building high-performance, intuitive interfaces that translate complex logistics workflows into elegant, usable experiences.

As a senior-level individual contributor and frontend technical leader, you will define frontend architecture, establish best practices, and drive the development of scalable design systems. You’ll work closely with product, design, and backend teams to deliver cohesive, end-to-end user experiences that balance speed, reliability, and maintainability while elevating frontend engineering standards across the organization.

This is a full-time, remote-friendly role open to candidates across the U.S., with the option to work from our New York City headquarters. Ready to make an impact? Join us and help redefine the logistics industry!

What You’ll Do

• Frontend Architecture & Development
  Design, build, and scale performant, accessible, and maintainable frontend systems using modern frameworks (React, TypeScript). Own key UI architecture decisions, including state management, component design, and application structure.
• Design Systems & UX Excellence
  Lead the development and evolution of reusable component libraries and design systems that ensure consistency and scalability across the platform. Collaborate closely with design to deliver polished, user-centric interfaces.
• Performance & Quality
  Optimize application performance, load times, and responsiveness. Establish best practices around testing, observability, and frontend reliability.
• Cross-Functional Collaboration
  Partner with product managers, designers, and backend engineers to deliver seamless, end-to-end features. Translate complex domain requirements into intuitive UI/UX solutions.

Who You Are

• Educated: Bachelor’s or Master’s degree in Computer Science, or equivalent practical experience.
• Experienced
  • Senior level expertise in React and modern JavaScript/TypeScript ecosystems
  • Proven experience building and scaling complex, production-grade web applications (SPAs)
  • Deep understanding of frontend architecture, including state management, performance optimization, and component design patterns
  • Experience integrating with APIs and distributed backend systems
  • Familiarity with modern frontend tooling, testing frameworks, and CI/CD workflows
  • Experience collaborating with design teams using Figma, including interpreting design specs and contributing to design systems

Nice to Have (Bonus Points)

• Experience mentoring engineers, driving technical decisions, and frontend excellence across teams.
• Experience building or maintaining design systems or component libraries
• Familiarity with data-heavy or real-time UIs (e.g., dashboards, operational tools)
• Experience working with event-driven architectures (e.g., Kafka)
• Background in logistics, transportation systems, or other complex operational domains

About our Tech Stack and Development Practices

At Optimal Dynamics, our entire infrastructure runs on AWS, leveraging a wide range of services including DynamoDB, Aurora, SSM, and SQS to power our intelligent logistics platform.

Our tech stack includes:

• Backend & AI: Python 3 and Java
• Frontend: JavaScript/TypeScript for our web-based SPA
• Data Stack: Trino, Dagster, dbt, DuckDB, and Preset
• IaC: Terraform and Spacelift
• Cloud: AWS (ECS/RDS/S3/etc)
• CI/CD: Bazel, Github, AWS CodePipeline/CodeBuild
• GenAI: Anthropic Claude, ChatGPT Codex, GitHub Copilot

We follow modern development best practices with all code stored on GitHub. Every pull request undergoes thorough code reviews, is fully unit tested, and deployed through our CI/CD pipeline for continuous quality assurance.

Open Application | Join Optimal Dynamics

Interested in working here at Optimal Dynamics, but don’t see a role that’s quite the right fit right now? We’d still love to hear from you.

We’re always excited to connect with curious, driven people who are passionate about building smarter, more efficient systems and solving real-world problems. If you believe your skills and experience could add value to our team-this is the place to apply. We review open applications on a rolling basis and will reach out if there’s a potential fit now or in the future.

What to Include:

• Your resume

• A brief note about what you’re interested in and how you think you could contribute (a plus!)

• Select the department/type of work you're most interested in

Thank you for your interest in what we're building!

#LI-DNI

About the Role

Optimal Dynamics is seeking an OR Software Engineer to join our OR/AI team. This position requires experience in both object-oriented programming and optimization/operations research. If you have these qualifications and are interested in developing them further at an exciting start-up, this position is perfect for you. 

Who You Are

• Passionate about building large-scale optimization software with automated testing, the highest levels of code/data quality, and engineering best practices
• You enjoy collaborating with colleagues across teams (i.e Product Managers, Designers, & Data Scientists) to ship impactful products
• You learn quickly and get excited by learning new technologies
• You thrive in an environment with lots of context and minimal guidance
• You're an adept teammate who collaborates effectively with others
• You're a skilled communicator and contributor who promotes your ideas while remaining humble when you may be wrong

Responsibilities

• Ramp: In the onboarding stage, senior members of the OR/AI team will get you up to speed on our technologies and help you develop your skill set to the point where you can contribute to the development of cutting-edge optimization and AI tools for the logistics industry
• Execute: Engage heavily in the SDLC (research, design, experimentation, development, deployment, monitoring, and maintenance) to ensure stability and quality of the codebase 
• Research and Implement: best practices to enhance our existing machine learning infrastructure in production environments
• Ideate: You will have the freedom to ideate and apply novel methodologies and techniques
• Grow: You will have the ability to learn directly from leaders in the AI and optimization fields

Qualifications

• MS in Computer Science, Electrical Engineering, Operations Research, or Industrial Engineering, OR BS in one of these fields and two+ years of industry experience
• Significant experience with an object-oriented programming language (Java, C/#/++, etc.) and software design, including hands-on Python coding experience 
• Background classwork or experience in optimization, probability, and statistics
• Some background in machine learning or artificial intelligence.
• Demonstrated ability to troubleshoot complex issues and find resolutions
• Ability to work in a fast-paced, agile environment
• Understanding of how to use AI-assisted coding tools to supercharge productivity

Bonus Points 

• Experience with Cloud Computing platforms: AWS, Azure, Google App Engine or similar
• Experience working with messaging tools (i.e. Kafka, RabbitMQ, and ZeroMQ)
• Some experience with DevOps (i.e. Docker, Github Actions etc.)
• Knowledge of Bazel or other build systems
• Background in stochastic optimization
• Background knowledge about logistics or supply chain technologies

Role Overview

We're seeking a strategic, consultative, top-performing Enterprise Sales Executive to drive new logo acquisition and cultivate lasting relationships. If you have a deep understanding of fleet operations, transportation and logistics, plus, a proven ability to close complex enterprise deals - this could be the role for you. 

At Optimal Dynamics, you’ll leverage your expertise engaging senior leaders at asset-based, enterprise-level carriers remotely and in-person traveling to interact with prospects face-to-face in the field. You’ll collaborate with our Sales Engineers & Customer Success team to deliver high-impact solutions. Your work will be integral to shaping the growth of Optimal Dynamics’ footprint in the industry during a pivotal growth point.

Key Responsibilities

• New Logo Acquisition: Identify and engage enterprise-level dedicated and/or for-hire (asset-based) carriers - close the deal!
• Consultative Sales Execution: Leverage industry experience to position Optimal Dynamics with senior leadership, drive creative deal strategies, and negotiate effectively.
• Relationship Management: Partner with Customer Success building and nurturing strong relationships across new and existing accounts.
• Customer Success & Advocacy: Proactively manage key issues and ensure long-term customer satisfaction and account health.
• CRM Management: Maintain accurate records of all account activity in Salesforce.
• Market & Competitive Intelligence: Stay current on logistics and supply chain trends, and track competitive offerings and industry innovations.
• Travel: Travel up to 50% to engage with prospects face-to-face.

Non Negotiables

• Tenacious: From hunting new leads through closing the deal. You showcase initiative, hustle, and self-motivation.
• Experienced: 
• 5+ years of experience in enterprise SaaS or technology sales
• 3+ years of experience in logistics, transportation, or supply chain solutions
• Educated: You’ve obtained a four year degree or have additional equivalent professional experience. You’re up-to-speed on the latest industry and technological advancements. 
• Collaborative: A proven track record of collaborating across sales, customer success, and product teams.
• Consultative: Demonstrated capability of quickly building trust with all levels of leadership-specifically with executive level decision makers. 
• Communicative: Exceptional oral and written communication skills with polished presentation abilities.
• Independent & Flexible: Successful working independently, remotely, and on the road getting face-to-face with prospects—this role is not office-based and requires 30-50% travel.

Bonus Points

• Experience selling to or working with For-Hire Carriers 
• Experience selling in a rapidly growing startup environment
• Established industry connections in logistics, transportation & supply chain

About the Role

Our Sr. Platform Solutions Engineer (SPSE) plays a critical role in both deploying the Optimal Dynamics platform and sustaining success for existing customers. The role focuses on translating solution designs into data-driven configurations, working within customer data environments, and validating optimization model outputs against expected operational behaviors. By analyzing data flows and tuning model parameters, the SPSE ensures that model recommendations perform as expected and create measurable value in live operations.

The SPSE also serves as an escalation point for complex technical issues, often requiring deep analysis of model logic, input data, and solutioning approaches. Our SPSE acts as a technical bridge between Solutions Engineering, Product, and our customers. Partnering functional and technical knowledge to drive seamless implementations and long-term value.

Key Responsibilities

Data Engineering & System Integration

• 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

Model Calibration & Technical Configuration

• 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

Project Collaboration & Business Alignment

• 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

Post-Deployment Monitoring & Optimization

• 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

Who You Are

• Educated: BSc or MSc degree in Computer Science, Engineering, Data Science, Math, or equivalent industry experience.
• Experienced: 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.

• Customer-Focused Executor: You design and deploy technical solutions with a clear focus on customers’ goals and constraints
• Analytically Precise: You work methodically to validate assumptions, spot discrepancies, and optimize system performance
• Collaborative Leader: You partner naturally with engineers, PMs, and executives to deliver end-to-end solutions
• Accountable Owner: You take initiative, value follow-through, and quality output
• Technical Translator: You translate complex technical issues into actionable insights for both internal teams and external partners
• Growth Focused: You’re driven by continuous learning, adapting, and bringing best practices to your work

Nice to have (Bonus Points)

• Proficiency in IaC (preferably Terraform)
• Familiarity with modern data tools such as dbt and DuckDB 
• Experience with monorepo management tools (e.g., Bazel, Buck) 

About our Tech Stack & Development Practices

At Optimal Dynamics, our entire infrastructure runs on Amazon AWS, leveraging a wide range of services including DynamoDB, Aurora, SSM, and SQS to power our intelligent logistics platform. Our tech stack includes: Backend & AI: Python 3 and Java.  Data: Trino, Dagster, dbt, DuckDB, and Preset

We follow modern development best practices with all code stored on GitHub. Every pull request undergoes thorough code reviews, is fully unit tested, and deployed through our CI/CD pipeline for continuous quality assurance.