Marketing Ops AI Agent Engineer - Saviynt

AI Agent Development & Workflow Automation

● 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, HubSpot, 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

GTM Signal Intelligence & Prospecting Automation

● 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 RevOps teams to ensure AI-driven prospecting aligns with pipeline goals, territory strategy, and campaign priorities

Data Orchestration & System Connectivity

● Connect and normalize data across Salesforce, HubSpot, Clay, Snowflake, Outreach, Gong, LinkedIn Ads, HockeyStack, 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, RevOps, Data, and IT teams to make sure agent workflows are secure, governed, and aligned with system architecture

CRM Hygiene & Data Quality Agents

● Build and maintain AI-powered data quality workflows that improve the accuracy of CRM and marketing data
● Support agents for employment verification, LinkedIn 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 HubSpot system owners to write back useful intelligence in a structured and governed way

AI-Powered SDR & Marketing Activation

● Build workflows that support AI-generated email sequences, personalized outreach hooks, account research summaries, and meeting preparation briefs
● Help connect outbound email, LinkedIn Ads, website intent, events, and partner motions into a more unified activation model
● Support agent workflows for event and user group planning, including geographic intelligence based on pipeline, whitespace, and ICP contact density
● Partner with SDR leadership to improve rep efficiency, reduce manual research, and increase time spent on high-value conversations
● Help create feedback loops that improve messaging, scoring, segmentation, and workflow performance over time

AI Governance, Testing & Optimization

● Test agent outputs for accuracy, consistency, brand alignment, and business usefulness
● Build repeatable QA processes for prompts, structured inputs, workflow logic, and agent-generated outputs
● Identify where human review is required versus where automation can safely run independently
● Monitor workflow performance and recommend improvements based on adoption, output quality, conversion impact, and operational efficiency
● Partner with Security, IT, and Operations teams to ensure AI workflows follow internal governance and data handling standards

Must-Have

● 4+ years of experience in Marketing Operations, Revenue Operations, GTM Systems, AI Operations, Marketing Automation, or a related technical GTM role
● Hands-on experience building workflows across GTM systems such as Salesforce, HubSpot, Clay, Outreach, Gong, LinkedIn Ads, Snowflake, or similar platforms
● Strong understanding of B2B SaaS funnel motions, including lead routing, SDR workflows, campaign attribution, pipeline creation, and account-based marketing
● Experience working with AI tools such as Claude, ChatGPT, Cursor, Claygent, or similar AI workflow platforms
● Ability to build structured prompts, workflow logic, decision trees, and reusable AI instructions that produce consistent outputs
● Familiarity with APIs, webhooks, JSON, data enrichment, field mapping, and cross-system automation
● Strong understanding of CRM data structure, including leads, contacts, accounts, campaigns, opportunities, activities, and custom fields
● Ability to translate business problems into practical technical workflows without over-engineering the solution
● Strong analytical and troubleshooting mindset with the ability to diagnose workflow failures, data issues, and process gaps
● Comfortable working cross-functionally with Marketing, SDR, RevOps, Sales, Data, IT, and Security stakeholders

Nice-to-Have

● Experience with Claude Managed Agents, MCP, Clay, Snowflake, HockeyStack, Gong, Outreach, or similar AI-native GTM tools
● Experience building AI agents for SDR prospecting, lead enrichment, account research, CRM hygiene, or outbound personalization
● Familiarity with Python, SQL, JavaScript, or low-code automation platforms
● Experience with vector databases, RAG workflows, Pinecone, or structured knowledge retrieval
● Experience with Salesforce administration, HubSpot operations, campaign operations, or marketing automation architecture
● Experience supporting ABM, intent-based marketing, paid audience sync, or multi-channel GTM activation
● Experience in cybersecurity, identity security, enterprise SaaS, or another complex B2B selling environment
● Comfort working in a fast-moving environment where AI capabilities, tools, and internal processes are evolving quickly

You’re the Type of Person Who

● Thinks like a systems builder, not just a task executor
● Gets excited about turning messy manual processes into scalable AI workflows
● Understands that great AI output depends on clean data, clear instructions, and strong process design
● Can build fast, test carefully, and improve continuously
● Knows when automation should act independently and when a human needs to stay in the loop
● Is comfortable working in the gray area between business strategy and technical execution
● Brings practical ideas, not science projects
● Can explain technical concepts clearly to non-technical stakeholders
● Wants to build the operating layer for the next generation of GTM execution

Why This Role Matters

● You will help build the AI operating system for Marketing and SDR execution
● You will reduce manual research, improve lead quality, and help SDRs focus on the highest-value conversations
● You will improve how Saviynt captures, scores, enriches, and activates GTM signals
● You will help connect AI, data, systems, and human execution into one scalable GTM motion
● You will play a key role in moving Marketing Operations from workflow support to AI-powered revenue acceleration