AI Product Manager – Large Equipment

Role Overview

• Own the roadmap, requirements, and delivery of assigned AI solutions for equipment dealers (e.g., agentic workflows, predictive insights, recommendation systems, smart ingest).
• Translate customer workflows, data constraints, and dealer pain points into clear PRDs, prototypes, and functional specifications.
• Partner with Data Science/Engineering to define model behavior, evaluation criteria, guardrails, and acceptance thresholds.
• Conduct structured model testing and evaluations (offline evals, human-in-the-loop testing, scenario testing).
• Drive iterative prototyping to accelerate alignment and reduce development risk.
• Establish and continuously improve AI product management standards for the organization—requirements templates, evaluation frameworks, prototyping practices, red/green testing, and UX patterns.
• Mentor PMs and BAs on AI PM fundamentals, including writing prompts/specs, defining success metrics, running evaluations, and designing human-in-the-loop workflows.
• Build repeatable launch playbooks for AI features: enablement, customer rollout, feedback loops, and performance monitoring.
• Drive alignment across Product, Engineering, UX, Data Science, QA, and Customer teams to ensure timely delivery of AI features.
• Collaborate with OEM and dealer partners to validate use cases and ensure data readiness (telematics, inspections, work orders, parts, etc.).
• Maintain clear communication streams, ensuring stakeholders understand status, risks, and changes in model behavior or scope.
• Serve as a subject-matter partner to leadership on prioritization, technical feasibility, and long-term AI platform strategy.
• Ensure delivered models and features meet functional requirements, evaluation thresholds, safety guidelines, and performance KPIs.
• Establish feedback loops to track model drift, accuracy, response quality, and user adoption.
• Lead post-launch analysis to identify improvements and future opportunities.

Requirements

• 5+ years in Product Management, with hands-on experience delivering AI/ML or LLM-based products.
• Strong capability in writing PRDs, user stories, structured evaluations, and UX-aligned prototypes.
• Experience defining model success criteria, prompt patterns, test harnesses, and evaluation pipelines.
• Demonstrated ability to partner with engineering, data science, and UX teams in fast-moving environments.
• Excellent communication and storytelling skills—able to explain complex AI behavior to dealers, OEMs, executives, and internal teams.
• Familiarity with ERP, DMS, dealer workflows, construction/ag equipment, or OEM integrations is a plus.
• Experience enabling GTM teams with clear product positioning, demos, and release readiness materials.
• Strong organizational skills and ability to manage multiple AI workstreams simultaneously.

Tech Stack

• ERP

Benefits

• Professional development
• Flexible work arrangements