Jobs at QAD

Owns pre-sales discovery, solution scoping, Statements of Work, pricing, commercial structuring, and delivery hand-offs for ERP and AI professional services engagements. Partners with Account Executives, Solutions Engineering, and Services Delivery to define executable scopes, protect margins, allocate resources, govern deals, and improve estimation playbooks. Supports strategic manufacturing and supply-chain opportunities in a remote, global environment with occasional client travel.

Leads presales technical discovery, solution architecture, demonstrations, and architectural workshops for enterprise integration solutions. Designs A2A, B2B, B2G, API, middleware, ETL, ESB, cloud, hybrid, and on-premises integrations. Partners with sales teams on RFPs and technical objections, engages C-level stakeholders, develops architectural diagrams, and provides customer feedback to product teams. The role also supports AI agent and LLM integration strategies.

Manages marketing operations across automation, campaign execution, lead routing, data hygiene, reporting, attribution, and marketing technology. Administers Marketo and partners across Salesforce, RevOps, SalesOps, IT, and global marketing teams. Develops dashboards, supports analytics and QBR reporting, coordinates integrations and compliance, trains marketers, manages project timelines, and drives workflow improvements for scalable B2B SaaS marketing.

Leads QAD’s central Quality Engineering organization, defining quality standards, automated regression frameworks, release gates, and customer-representative qualification environments. The role owns evidence-based release decisions and may block releases that fail quality criteria. Responsibilities include integrating continuous testing into development and deployment pipelines, applying AI to test generation and defect analysis, tracking quality metrics, transforming processes, and building organizational capability across enterprise SaaS products.

Owns the architecture and technical roadmap for the ERP platform foundation, including shared services, frameworks, data layers, runtime, integrations, identity, security, and extensibility. The role modernizes legacy systems incrementally, establishes performance and resilience standards, reviews critical designs, resolves platform risks through prototypes, and coaches engineers. Success requires driving a coherent target architecture and cross-team implementation across a complex enterprise software platform.

Lead the end-to-end architecture and technical transformation of a mature ERP product toward a cloud-native, SaaS future. Establish architectural vision, standards, and target architecture across functional, platform, data, integration, quality, infrastructure, and extension workstreams. Guide modernization while protecting upgradeability, security, and reliability, make cross-functional architectural trade-offs, and communicate technical decisions to executives, customers, and partners.

Owns the technical direction and modernization roadmap for QAD’s SRM, EQMS, and Demand & Delivery SaaS products. Defines architecture across application design, AWS, multi-tenancy, integrations, data, security, and performance. Sets standards for outsourced engineering partners, reviews designs, resolves technical risks, translates customer commitments into delivery plans, and builds internal product knowledge.

Leads engineering for QAD’s Lynx migration tooling and Extensions Platform, enabling customers and partners to assess, convert, and modernize legacy customizations for Adaptive streamlined. Owns technical roadmaps, delivery commitments, budgets, pre-engagement engineering assessments, customer transition support, vendor delivery, and measurable migration outcomes. Manages engineering managers and teams while translating migration findings into product capabilities and building extensibility that replaces legacy custom code.

Own the data layer for QAD’s enterprise AI platform. Assess data readiness, build and operate production pipelines and connectors, create governed semantic models, prepare retrieval-ready knowledge sources, and enforce user-scoped access and data security. Monitor freshness, quality, schema changes, costs, and pipeline health while developing reusable data products for AI agents. Partner with AI engineering, security, governance, system integrators, and business data owners to deliver accurate, current, permitted data.

Owns global training and enablement for QAD’s Support organization. Responsibilities include new-hire onboarding, continuing education, product and process training, soft-skills development, instructional content creation, LMS administration, training effectiveness reporting, and maintaining a support training portal. The role collaborates with Support leadership, R&D, Tier 3 Support, Product Management, and subject matter experts, while developing a support training website and certification program. It also requires global delivery flexibility, including EMEA and Americas hours, shift rotations, weekends, and on-call coverage.

Build and ship features for the ChampionAI platform, maintain MCP tool servers and agent infrastructure, and support Applied AI teams. Responsibilities include developer tooling, agent reviews, deployment support, prompt engineering, tool bindings, context injection, evaluation, and observability. The role also involves creating Kubernetes manifests, database registrations, LaunchDarkly prompt rollouts, and production Champion agents for manufacturing use cases.

Own quality validation for a multi-agent AI product by designing end-to-end workflow tests, evaluation frameworks, golden datasets, adversarial test cases, and automated regression suites. Assess agent reasoning, tool use, routing, handoffs, response quality, hallucinations, security risks, and model or retrieval regressions. Triage root causes with Engineering and Product, validate fixes, quantify quality trends, and communicate results to stakeholders.

Lead the technical side of North American pre-sales cycles for global trade compliance software. Translate compliance requirements into tailored demonstrations, proof-of-concepts, solution architectures, RFP responses, and executive presentations. Partner with sales executives, configure and troubleshoot GTC platforms, address technical objections, and communicate AI applications in classification, screening, document processing, and duty optimization to enterprise compliance buyers.

Owns the global support operations ecosystem for 24/7 enterprise customers. Leads developers and systems administrators, manages Salesforce, ServiceNow, Zendesk, telephony, analytics, and AI platforms, and drives reliability, governance, automation, workflow optimization, integrations, and operational reporting. Partners with Engineering, Product, Cloud Operations, Customer Success, and vendors to deliver platform enhancements, support releases, and standardized global workflows.

Leads the enterprise-wide technical architecture and multi-year roadmap for a cloud-native, AI-enabled SaaS platform. Governs full-stack standards across frontend, backend, microservices, APIs, databases, and cloud infrastructure; conducts design reviews, resolves performance issues, writes reference code, and integrates agentic AI workflows. Partners with executives and engineering leaders while mentoring Principal and Senior Staff engineers. Requires 14+ years of software development experience, including 5+ years as a Technical or System Architect, with onsite work in Pune.

Leads AI customer adoption and enablement across regional Customer Success teams. The role supports onboarding, training, workflow configuration, prompt engineering, usage monitoring, technical escalations, and adoption recovery. It partners with customers, Product, Engineering, Support, and Solutions Engineering to improve AI value realization, retention, and referenceability. The role also guides organizational change and helps customers reinvest capacity created by AI automation.

Corporate Counsel will lead commercial contracting across EMEA and globally, negotiating SaaS, cloud services, professional services, and data processing agreements. The role partners with Sales, Finance, InfoSec, Privacy, and Professional Services; builds legal operations, templates, playbooks, and AI-enabled workflows; and advises on GDPR and EU AI Act compliance. Candidates need a law qualification, EMEA admission, at least seven years of in-house software or SaaS experience, legal technology expertise, strong commercial negotiation skills, and fluent English.

Leads AI customer adoption and enablement across regional Customer Success teams. Supports onboarding, go-live readiness, user training, workflow integration, adoption monitoring, technical escalations, and recovery plans when usage declines. Partners with customers, Product, Engineering, Support, and Agent Operations to improve AI trust, usage, retention, and measurable business value. Coaches leaders on reinvesting capacity created by AI agents and promotes data-driven, exception-based workflows.

Lead global contract operations for a SaaS company by managing legal intake, drafting and negotiating commercial agreements, administering CLM workflows, maintaining templates and repositories, and advancing AI-enabled contracting. Partner with Sales, Finance, Procurement, Customer Success, and Professional Services on contract interpretation, renewals, compliance, disputes, and risk management. Build scalable processes, playbooks, self-service resources, and training.

Provides advanced technical support for QAD and Progress products, diagnosing escalated issues, managing installations, upgrades, configurations, and database administration. Performs Progress DBA tasks including optimization, backups, restores, and performance monitoring across Linux, Unix, Windows, and network environments. Documents resolutions, develops training content, collaborates with R&D and product teams, and supports global customers through rotating shifts, weekends, and on-call coverage.