Marketing Ops AI Agent Engineer

Saviynt's AI-powered identity platform manages and governs human and non-human access to all of an organization's applications, data, and business processes. Customers trust Saviynt to safeguard their digital assets, drive operational efficiency, and reduce compliance costs. Built for the AI age, Saviynt is today helping organizations safely accelerate their deployment and usage of AI. Saviynt is recognized as the leader in identity security, with solutions that protect and empower the world's leading brands, Fortune 500 companies and government institutions.

For more information, please visit

We're looking for a Marketing AI Agent Engineer to help build, configure, and scale AI-powered GTM workflows across Marketing, SDR, and Revenue Operations. This role will sit at the intersection of Marketing Operations, AI automation, data orchestration, and go-to-market execution.

This person will help turn our AI GTM strategy into working systems. That means building and managing AI agents that can research accounts, enrich leads, score fit, monitor buying signals, support SDR outreach, improve CRM data quality, and help activate audiences across email, ads, events, and partner motions.

Reporting into the Marketing Operations and AI Strategy organization, you will be a hands-on builder responsible for connecting systems, designing agent workflows, improving automation quality, and helping Marketing move from manual execution to scalable AI-assisted GTM operations.

• Build, configure, test, and optimize AI agents that support Marketing and SDR workflows across prospecting, enrichment, scoring, routing, outreach, and reporting
• Develop agentic workflows using tools such as Claude, Clay, MCP, Snowflake, Salesforce, Hub Spot, Outreach, Gong, and related GTM systems
• Translate business requirements into structured AI workflows that can operate reliably, repeatably, and at scale
• Build agents that monitor key GTM signals such as job changes, hiring velocity, funding events, web intent, content engagement, and account fit
• Create workflows that reduce manual research and give SDRs better prioritized accounts, stronger contact context, and cleaner outreach hooks

• Help build and scale autonomous prospecting motions that identify ICP‑fit accounts and contacts based on real‑time buying signals
• Support ICP fitness scoring workflows that assess inbound leads, event leads, partner leads, and prospecting lists before they move into downstream systems
• Build logic that blends signal‑based prospecting with broader whitespace nurture motions
• Develop workflows that help SDRs prioritize the right accounts at the right time with the right message
• Partner with Marketing, SDR, and Rev Ops teams to ensure AI‑driven prospecting aligns with pipeline goals, territory strategy, and campaign priorities

• Connect and normalize data across Salesforce, Hub Spot, Clay, Snowflake, Outreach, Gong, Linked In Ads, Hockey Stack, and other GTM platforms
• Build structured inputs, data models, prompts, API workflows, and JSON‑based logic that allow AI agents to take action with clean context
• Support audience segmentation workflows across cold, warm, and hot account/contact cohorts
• Help operationalize Snowflake and other data sources as audience and intelligence layers for AI‑powered GTM activation
• Partner with Marketing Operations, Rev Ops, Data, and IT teams to make sure agent workflows are secure, governed, and aligned with system architecture

• Build and maintain AI‑powered data quality workflows that improve the accuracy of CRM and marketing data
• Support agents for employment verification, Linked In URL enrichment, region/location detection, account/contact enrichment, and stale data detection
• Design workflows that catch bad records before SDRs waste time on outdated contacts or inaccurate account information
• Improve the quality of downstream workflows by ensuring agent decisions are based on clean, current, and complete data
• Partner with Salesforce and Hub Spot system owners to write back…