
201 - 500 employees
🎯 Recruiter
👥 HR Tech
🏢 Enterprise
Recruitment • HR Tech • Enterprise
NIR-YU is a company dedicated to empowering small and medium enterprises (SMEs) by providing tailored nearshore staffing solutions. They focus on strategic recruitment of skilled nearshore professionals, offering cost-plus pricing for transparency and affordability. Their services include staff augmentation, staff leasing, talent acquisition, and employer of record (EoR), aimed at helping SMEs gain access to a skilled workforce from Latin America. By facilitating the hiring of remote talent and ensuring compliance with local regulations, NIR-YU allows businesses to enhance their teams with English-speaking professionals, optimize costs, and focus on growth strategies without the burden of setting up foreign entities.
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201 - 500 employees
🎯 Recruiter
👥 HR Tech
🏢 Enterprise
Recruitment • HR Tech • Enterprise
NIR-YU is a company dedicated to empowering small and medium enterprises (SMEs) by providing tailored nearshore staffing solutions. They focus on strategic recruitment of skilled nearshore professionals, offering cost-plus pricing for transparency and affordability. Their services include staff augmentation, staff leasing, talent acquisition, and employer of record (EoR), aimed at helping SMEs gain access to a skilled workforce from Latin America. By facilitating the hiring of remote talent and ensuring compliance with local regulations, NIR-YU allows businesses to enhance their teams with English-speaking professionals, optimize costs, and focus on growth strategies without the burden of setting up foreign entities.
• 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.
• 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.
• Professional development • Flexible work arrangements
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