DeweyLearn, Inc.

Product Manager

• Own end-to-end product management across existing verticals, new verticals, and internal tooling
• Partner with Sales, Customer Success, customers, and domain experts to identify problems, current processes, and evidence of value
• Build complete solutions by configuring workflows, prompts, evaluation frameworks, and integrations using existing capabilities and agentic tools
• Work with Engineering when platform changes are needed
• Test customer and internal workflows against agreed quality criteria, review failures, and iterate
• Coordinate launch readiness, onboarding, and handover with Product Delivery
• Partner with Customer Success and Product Marketing on demos, enablement, and feedback
• Track adoption, quality, time to first value, and commercial contribution
• Demonstrate time savings, improved throughput, or reduced errors for internal tools
• Reduce bespoke setup and support, build reusable workflows, and turn user learning into product improvements and roadmap input
• Work with the Head of Product to understand problems and build, validate, launch, and improve solutions

Explore Product Manager at DeweyLearn, Inc.. Review requirements and application details.

Full-stack Engineer

• Develop scalable Python services and production-grade APIs
• Design, implement, and improve AI features using LLMs and modern ML techniques
• Build specialized edge models
• Create unique labeling strategies and coach labeling of data to support model building
• Take AI systems from concept and prototype to reliable, observable production deployments
• Collaborate closely with product, founders, and stakeholders to shape product direction
• Continuously improve system architecture, data pipelines, and ML/AI infrastructure

Explore ML Growth Engineer at DeweyLearn, Inc.. Review requirements and application details.