Product Manager

DeweyLearn

13d•$115,000 - $150,000•Remote

About The Position

DeweyLearn exists to help organizations preserve and scale expert judgment. Our platform captures expertise, transforms it into scalable AI systems, and applies it to authentic assessment, coaching, certification, quality assurance, and any workflow where human judgment matters. DeweyLearn is an AI-powered human assessment and evaluation platform. Our multimodal system analyzes audio and video of real learning, training, and coaching sessions using observational frameworks developed with domain experts, then turns what it sees into structured insight for assessment, coaching, certification, and quality assurance. The role involves end-to-end product management across existing verticals, new verticals, and internal tooling. Working with the Head of Product, you will take a focused approach to understanding the problem, and building, validating, launching, and improving a solution that people actually use. Use cases might include a nursing simulation workflow, a repeatable solution for an existing customer need, or an internal tool that helps our team deliver faster. This is a hands-on building role where you will use agentic tools to compose existing DeweyLearn and third-party capabilities, configure workflows, and test working solutions. You will partner with Customer Success and domain experts to understand the use case, and with Engineering and Product Delivery to deliver it successfully. You will own the assigned product’s outcomes, then take on new opportunities as the solution becomes repeatable, and ongoing ownership is clear.

Requirements

Curiosity and adaptability: You learn new domains quickly and recognize when to involve specialists or engineers. You can move between industries and internal use cases while staying focused on outcomes.
Agentic building: You use AI tools to build working solutions, inspect outputs critically, troubleshoot failures, and improve them. You do not need to be a software engineer, but you enjoy making things work.
Ownership and judgment: You can show useful things you have built and shipped, and explain your decisions and results. You may be early in your career; demonstrated ownership matters more than years in a PM title. Personal, academic, internal, and customer projects all count.
Customer-close learning: You seek out users and domain experts, test assumptions in real workflows, and turn what you learn into concrete changes. You follow through beyond a demo and communicate tradeoffs clearly.

Nice To Haves

Experience in education, assessment, workflow automation, integrations, or AI evaluation is helpful, not required.

Responsibilities

Understand the use case: Partner with Sales, Customer Success, customers, and domain experts to identify the problem, current process, and evidence of value.
Build the complete solution. Configure workflows, prompts, evaluation frameworks, and integrations using existing capabilities and agentic tools. Work with Engineering when platform changes are needed.
Validate in real use. Test the full customer or internal workflow against agreed quality criteria, review failures with relevant domain and technical owners, and iterate.
Launch and drive adoption. Coordinate readiness, onboarding, and handover with Product Delivery. Partner with Customer Success and Product Marketing on demos, enablement, and feedback.
Own the outcomes. Track useful adoption, quality, time to first value, and commercial contribution. For internal tools, demonstrate time savings, improved throughput, or reduced errors.
Make it repeatable. Reduce bespoke setup and support, build reusable workflows, and turn user learning into product improvements and roadmap input for the Head of Product.