Jobs at QAD

Lead product strategy and execution for Procure-to-Pay and Supplier Relationship Management at QAD. Define end-to-end procurement workflows, build AI agent and decision-service capabilities, partner across engineering, AI, sales, and customer teams, run customer discovery, and deliver measurable workflow improvements to reduce manual effort, mitigate supplier risk, and increase SRM adoption in manufacturing.

Drive outbound lead generation and early discovery for enterprise manufacturing and supply chain solutions. Execute phone, email, and social outreach, document activities in CRM, craft strategic messaging, qualify prospects, and pass revenue-ready opportunities to sales.

Lead enterprise-wide internal AI adoption by owning roadmap, governance, reference architecture, usage/spend controls, and value tracking. Prioritize use cases, coordinate with IT/Data/Engineering and functions, define operating controls for AI tools, track delivery and ROI, and lead a team of enablement and integration engineers to scale governed AI solutions.

Design, deliver, and manage global training programs for Support: onboarding, continuing education, product/process updates, and soft-skills. Develop self-paced digital content, administer the LMS, collaborate with SMEs, evaluate training effectiveness, and support global schedules including shift rotations and weekend coverage.

Analyze complex global support and operational problems, translate requirements into functional specifications, configure and maintain CRM/CMDB/ITSM systems, integrate AI tools and automations, test and implement out-of-the-box configurations, and support post-implementation operations across global support hours.

Lead and build a Product Operations function for AI-powered manufacturing software. Own portfolio prioritization, New Product Introduction (stage-gate) for AI products, capability-tier framework, trust and safety governance, and enforcement of product ownership. Hire and lead a small team, serve as strategic partner to the CPO, and ensure measurable learning and governance across the product portfolio.

Own ad operations across LinkedIn, Google, and Meta; consolidate multi-channel marketing reporting and connect it to Salesforce pipeline data. Build dashboards tying activity to revenue metrics, monitor full-funnel performance, recommend spend and channel optimizations, partner with RevOps on attribution and CRM integrity, and produce executive-level pipeline analysis.

Lead lifecycle and digital growth programs to convert engagement into revenue. Own email marketing operations, segmentation, nurture strategy, A/B and multivariate testing, digital event support, organic content distribution, partnership/link-building, and implement AI workflows for personalization, copy, segmentation, and reporting to scale pipeline contribution.

The IT Application Operations Analyst supports enterprise applications, performs administration and troubleshooting, responds to incidents, ensures compliance, and drives continuous improvement in application operations.

Lead the development and expansion of Redzone's partner ecosystem across EMEA, managing strategic partner relationships to drive revenue and market penetration.

Lead product telemetry, launch operations, and post-launch adoption across the portfolio. Own KPI governance, value-realization tracking, NPI launch mechanics, adoption health monitoring, root-cause diagnosis, PM enablement, and product-ops tool intake. Partner closely with Customer Success, data teams, and AI evaluation leads to drive adoption and ROI.

Sell QAD Global Trade Compliance and FTZ SaaS to new and existing enterprise customers. Prospect, qualify, manage pipeline, negotiate, and close complex deals. Present solutions to cross-functional stakeholders (Compliance, Legal, Manufacturing, Finance, C-suite). Maintain accurate forecasts and metrics, coordinate internal teams, and meet/exceed sales targets. Travel 30–50%.

Lead cross-stack architecture for an AI-native SaaS ERP: define multi-year technical vision, enforce full-stack standards, conduct design reviews, write reference code, integrate agentic AI, and mentor senior engineering leaders across frontend, backend, microservices, and cloud infrastructure.

Design, implement, and own scalable full‑stack SaaS features across frontend and backend. Resolve complex performance and architectural issues, mentor junior engineers, optimize code for scale and efficiency, and collaborate with Product, QA, and DevOps to deliver cloud‑native microservices and APIs.

Design, implement, and deliver scalable full‑stack SaaS features in a cloud‑native, microservices environment. Mentor juniors, resolve complex performance issues, optimize architecture, and collaborate with Product, QA, and DevOps to build an AI‑native ERP platform.

Design, implement, and own scalable full-stack SaaS features across frontend and backend. Debug performance issues, optimize for scale, mentor junior engineers, and collaborate cross-functionally to deliver cloud-native microservices and APIs for an enterprise manufacturing platform.

Provide high-level executive and administrative support to the COO and other leaders: manage complex global calendars, organize domestic and international travel, prepare correspondence and presentations, handle confidential communications, complete expense reports, coordinate meetings and follow up on action items, and support project coordination and process improvements.

Lead the Integration Platform and Analytics product roadmaps while running Horizon 3 innovation. Manage an innovation portfolio (3-5 spikes/year), pioneer industrial computer vision and physical AI, convert successful experiments into scalable products, and build engineering and product teams to deliver reliable, scalable manufacturing software.

The Senior Product Manager will define and manage the product lifecycle for QAD's AI-powered Copilot, improving query capabilities in manufacturing and ensuring effective market adoption.

The Channel Sales Manager will identify and develop new business within QAD's existing customer base, manage sales pipelines, and lead the sales process while working collaboratively across teams.