Revenue Operations & Growth Associate
Optimal DynamicsRemote$100k – $175kPosted 9 March 2026
Job Description
About Our Company
Built on over four decades of pioneering research at Princeton University, our platform represents the leading edge of innovation in freight and transportation planning. We help customers unlock double-digit revenue gains and drive smarter, data-driven operations at scale. With the recent close of our Series C funding round led by Koch Disruptive Technologies, we’re entering an exciting new phase of growth. Today, Optimal Dynamics is a high-growth company of ~70 employees, backed by top-tier investors including Bessemer Venture Partners, The Westly Group, Activate Capital, and Koch.
We're on a mission to redefine the way logistics decisions are made—and we’re just getting started.
About Our Team
We are a team of bright, kind, and solution-oriented people focused on creating value for our customers. We can solve problems individually, but understand that the best solutions are found when the team brainstorms ideas together. We are excited about balancing the need to deploy new solutions quickly and designing solutions that are secured, reliable, maintainable, and scalable for the long run.
Role Overview
We are seeking a Revenue Operations Growth Associate to play a critical role in strengthening and scaling the revenue engine at Optimal Dynamics. You will support our rapidly growing Sales, Marketing, and Customer Success organizations by owning key analyses, processes, and systems that power GTM efficiency and effectiveness.
Your work will build the backbone of our RevOps function and directly influence how we acquire, retain, and grow customers in the freight optimization and AI-driven decision automation market. You will partner closely with GTM leaders to improve forecasting accuracy, increase pipeline visibility, support territory planning, enhance reporting, and elevate our operational rigor.
Your impact will be felt across the entire customer lifecycle as you unlock insights, streamline workflows, and ensure our teams operate with clean data, scalable processes, and actionable analytics.
Key
Responsibilities
Flexibility enthusiasm - no two work weeks will be identical. You will work across a variety of requests and be responsible for exploring any revenue-impacting topic.
Proactively tracking and reporting on all metrics and KPIs that impact our revenue objectives.
Reviewing, combining, and manipulating data across multiple sources to determine attribution across all results.
Identify and implement business process and workflow automation opportunities
Collaborating on the creation and maintenance of the company’s corporate direct sales revenue model.
Designing and presenting strategic presentations to our executive team and board of directors.
Solving business problems through data-driven analysis.
Work alongside technical resources to design our GTM tech stack to support our business objectives.
Non Negotiables
Strategy: At least 4 years working on corporate strategy or related themes in SaaS or high-growth businesses.
Finance: Understanding of SaaS concepts and their applications (e.g., recurring revenue, net retention, gross margins).
Operations: Background working with revenue or sales operations teams and tools. Experience with Salesforce is highly valued.
Analytics: Advanced Excel skills and the ability to use Python or SQL to query data
Creativity: Ability to design compelling presentations communicating complex topics in under anhour for executive audiences.
Sales Expertise: Knowledge of the enterprise sales process and sales methodologies.
Collaboration: Enjoy working with a team in a “project” based environment.
Drive: This role requires going above and beyond. Occasionally, that means a time commitment beyond the typical 9-5.
Bonus Points
Experience in logistics, transportation, or supply chain environments
Prior work with revenue forecasting, pipeline modeling, or cohort analysis
Experience in a rapidly growing startup environment
Skilled with tools li ... (truncated, view full listing at source)
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