[Remote] Marketing Ops AI Agent Engineer

Note: The job is a remote job and is open to candidates in USA. Saviynt is a leader in identity security, providing an AI-powered identity platform that safeguards digital assets for organizations. They are seeking a Marketing Ops AI Agent Engineer to develop and optimize AI-powered workflows that enhance marketing and sales operations, focusing on automation and data orchestration to improve efficiency and lead quality.

Responsibilities

• 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
• 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
• 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
• 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
• 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
• 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

Skills

• 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
• 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

Company Overview

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