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About the Role
Loop turns unstructured logistics documents into structured, audited, payable data. Our platform is the layer that makes that possible, spanning the agent runtime and the frameworks that produce and validate structured data at scale, the shared services and abstractions our application teams build on, and the tooling used to develop, evaluate, and operate all of it. As Senior Product Manager for AI Platform, you will drive that layer end to end. Your primary customers are internal, and they are the product engineering teams, AI Operations analysts, solutions engineers, and implementation managers who build on the platform. Your job is to give them reusable capability instead of repeated work, so that a problem solved once at the platform layer is not solved again in three products. You will spend your time with those builders, in the tooling, and in the data rather than in the sales cycle, and you will be measured on how much they ship and how quickly. You will partner closely with AI Platform engineering leadership and report to the Chief Product Officer.
Responsibilities
- Establish and drive the product roadmap for Loop's platform, setting priorities that let application teams and operations move faster.
- Drive the agent runtime as a product, including tools, context, and memory agents operate with, and orchestration primitives that let a new agent be assembled from existing capability rather than built from scratch.
- Define how agents earn autonomy, including guardrails, approval points, and escalation paths that determine what an agent does unsupervised and what requires a person.
- Define how automation is evaluated before and after release.
- Partner with engineering to design scalable solutions.
- Evaluate cross-industry agentic technology to decide what Loop adopts, extends, or builds.
- Establish and maintain platform KPIs, including adoption of shared capability, automation rate, time from new use case to production, and gross margin expansion.
- Justify roadmap investment using quantitative and qualitative evidence, and make explicit trade-offs across capability, cost, and latency.
- Partner with AI Operations, Solutions, and Implementation to move validated workflows into product and to sequence platform investment against enterprise deployments in flight.
Requirements
- 4+ years in product management, including at least two on a developer platform, internal tooling, data platform, or AI/ML platform.
- Experience building shared services, APIs, or component libraries that other engineering teams depend on, with the judgment to know when a pattern is worth abstracting and when it is not.
- Strong understanding of AI and ML systems in production, including how agentic systems are designed, evaluated, and operated.
- Experience making internal users your primary customer, and translating complex technical capability into tooling a non-technical operator can use without training.
- Ability to develop and communicate product vision and strategy to both engineering and executive audiences.
- Comfort operating in an ambiguous, fast-moving domain.
- Prior logistics experience is welcome but not required.
- Experience building evaluation or observability tooling for AI systems is a plus.
- Experience delivering AI / data software to large enterprises is a plus.
Skills
- AI/ML platform
- Developer platform
- Internal tooling
- Data platform
- AI and ML systems in production
- Agentic systems design, evaluation, and operation
- Building shared services
- Building APIs
- Building component libraries
- Product vision and strategy communication
- Evaluation tooling for AI systems
- Observability tooling for AI systems
- Delivering AI / data software to large enterprises
Location
- San Francisco
Work Type
- In-person
- 4+ days per week in office
Experience Level
- Senior
Education Level
- Bachelor of Science in a STEM field
- Master of Science (or equivalent) preferred
Salary/Compensations
- $183,000 to $205,000 annually
Benefits
- Health, dental, and vision insurance
- 401(k) match
- Paid time off
- Paid holidays
- Parental leave
- Annual performance bonus
- Equity
About the Company
- Loop turns unstructured logistics documents into structured, audited, payable data.
- Our platform is the layer that makes that possible, spanning the agent runtime and the frameworks that produce and validate structured data at scale, the shared services and abstractions our application teams build on, and the tooling used to develop, evaluate, and operate all of it.
Equal Opportunity
- Loop is an equal opportunity employer.
- We celebrate diversity and are committed to creating an inclusive environment for all employees.
- All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.