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Loop

AI-driven freight audit and payments platform

Senior Product Manager - AI Platform

Technical Product ManagementUpdated on Nov 13
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • At least 4 years of product management experience, including at least 2 years on a developer platform, internal tooling, data platform, or AI/ML platform.
  • Experience building shared services, application programming interfaces, or component libraries used by other engineering teams, and judgment about when to abstract a pattern.
  • Strong understanding of production AI and machine learning systems, including how agentic systems are designed, evaluated, and operated; experience shipping such systems and diagnosing failures.
  • Experience making internal users the primary customer and translating complex technical capabilities into tooling a non-technical operator can use without training.
  • Ability to develop and communicate product vision and strategy to engineering and executive audiences, and operate in an ambiguous, fast-moving domain.
  • Bachelor of Science in a STEM field.

Responsibilities

  • Establish and drive the product roadmap for Loop's platform, setting priorities that help application teams and operations move faster.
  • Drive the agent runtime as a product, including the tools, context, and memory agents use, and orchestration primitives that allow new agents to be assembled from existing capabilities.
  • Define how agents earn autonomy, including guardrails, approval points, and escalation paths that determine what agents can do unsupervised and what requires a person; define how automation is evaluated before and after release.
  • Partner with engineering to design scalable solutions and evaluate cross-industry agentic technology to determine what Loop adopts, extends, or builds.
  • Establish and maintain platform key performance indicators, including adoption of shared capabilities, automation rate, time from new use case to production, and gross margin expansion; justify roadmap investment with quantitative and qualitative evidence and make trade-offs across capability, cost, and latency.
  • Partner with AI Operations, Solutions, and Implementation to move validated workflows into product and sequence platform investment against enterprise deployments in flight.

Desired Qualifications

  • A Master of Science degree or equivalent.
  • Logistics experience.
  • Experience building evaluation or observability tooling for AI systems and delivering AI or data software to large enterprises.

About the Company

Loop

AI-driven freight audit and payments platform

Loop provides a data platform and full-stack AI system to modernize transportation spend management. It unifies invoices, shipment tracking, and contract terms into a single source of truth for high-volume shippers, carriers, and 3PLs, enabling automation of invoice processing (up to 99%), real-time exception handling, and predictive analytics to surface cost-saving opportunities. Its products—such as the Loop Control Suite and Parcel Contract Intelligence—use machine learning to identify potential overpayments before they occur, and operate as a SaaS solution with a dedicated customer success team. This combination differentiates Loop from competitors by combining data unification, proactive AI-driven insights, and a hands-on service model to streamline freight audit and payments. The company's goal is to turn freight audit from a cost center into a strategic advantage, improving working capital and financial clarity across global logistics operations.

Company size
51-200
Company stage
Series C
Total funding
$160M
Headquarters
San Francisco, CA
Founded
2021

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