1 day ago
Pune, IndiaStaff+
Responsibilities
- Design, code, and deploy custom AI integrations connecting CRM, sales engagement platforms, and other GTM technologies.
- Build proprietary LLM-based tools for account and contact enrichment, outbound messaging, and administrative automation.
- Develop agentic workflows for CRM updates, meeting summaries, follow-up scheduling, and other revenue-team tasks.
- Audit and optimize the GTM technology stack, replacing redundant or low-utility vendors with AI where appropriate.
- Implement predictive modeling and real-time next-best-action recommendations for high-intent pipeline management.
- Maintain data integrity and a single source of truth across revenue platforms, particularly Salesforce.
- Build AI-driven customer-retention loops, automated renewal triggers, content distribution, and performance-marketing automation.
- Train GTM teams to prompt and use deployed AI tools effectively.
- Manage multiple AI agents, resolve conflicts, prevent duplicate outreach, and maintain data quality.
- Create prompt libraries, training datasets, and ongoing refinement workflows for AI agents.
Requirements
- At least 5 years of experience in Marketing Operations, Revenue Operations, or GTM Engineering.
- Deep understanding of the leads-to-revenue funnel and best-in-class SaaS ecosystems.
- Ability to write and maintain production integrations using Python, JavaScript, HTML, or equivalent.
- Ability to ship working code connecting AI agents to CRM, marketing automation, and sequencing tools through APIs.
- Deep working knowledge of Salesforce, Clay, Claude, Outreach, and Gong or Chorus.
- Proven experience consolidating technology stacks and reducing vendor spend without sacrificing performance.
- Understanding of pipeline mathematics, stage conversion rates, unit economics, and revenue-target planning.
- Experience orchestrating multiple AI agents across segments or functions while preventing conflicts and duplicate outreach.
- Demonstrated ability to build prompt libraries, training datasets, and AI-agent refinement workflows.
- Sound judgment about when AI should replace human effort versus augment it.
Benefits
- Programs supporting health, well-being, and work-life balance.
- Opportunity to join a growing business entering a new phase of expansion and transformation.
- Collaborative culture with supportive colleagues.
- Growth-oriented environment that prioritizes idea-sharing over hierarchy.
- Compensation packages based on experience and desired skill set.
Tech Stack
Categories
About QAD, Inc.
QAD builds cloud-based ERP and supply chain software for manufacturing companies, with offerings like QAD Adaptive ERP and the Redzone Connected Workforce platform, sold primarily by subscription with professional services. Its products target mid-market firms across automotive, industrial, food & beverage, life sciences, and consumer goods, embedding workflow and shop-floor capabilities. Founded in 1979 and headquartered in Miami, QAD is privately held and owned by Thoma Bravo.