Marketing Ops AI Agent Engineer

Saviynt

43d

About The Position

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 www.saviynt.com.

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.

Requirements

• 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
• 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
• Complete security & privacy literacy and awareness training during onboarding and annually thereafter
• Review (initially and annually thereafter), understand, and adhere to Information Security/Privacy Policies and Procedures such as (but not limited to): Data Classification, Retention & Handling Policy, Incident Response Policy/Procedures, Business Continuity/Disaster Recovery Policy/Procedures, Mobile Device Policy, Account Management Policy, Access Control Policy, Personnel Security Policy, Privacy Policy

Nice To Haves

• 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

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

Benefits

• tremendous growth and learning opportunities through challenging yet rewarding work

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed