Note: The job is a remote job and is open to candidates in USA. Saviynt is a high-growth company focused on AI-powered identity solutions. They are seeking a Marketing AI Agent Engineer to build and optimize AI-powered workflows that enhance marketing operations and drive revenue through automation and data orchestration.
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
Benefits
- 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
Company Overview
Company H1B Sponsorship