Marketing Ops AI Agent Engineer

Role overview

Saviynt is hiring a Marketing Ops AI Agent Engineer (hands-on) to transform its go-to-market strategy through AI automation. You will build and operate AI agents that improve marketing and sales workflows, enhance data quality, and accelerate revenue outcomes.

Key missions

• Build, configure, and optimize AI agents supporting marketing and sales workflows.
• Create autonomous workflows that identify target accounts/contacts using real-time buying signals (e.g., for ideal customer profile matching).
• Connect, normalize, and orchestrate data across GTM systems including Salesforce, HubSpot, Clay, Snowflake, Outreach, Gong, LinkedIn Ads, HockeyStack, and others.

Responsibilities

• Translate business needs into practical technical AI + automation workflows.
• Design robust workflow logic (e.g., structured prompts, decision trees, reusable AI instructions) to produce consistent outputs.
• Troubleshoot workflow and data issues; diagnose failures and process gaps.
• Work cross-functionally with Marketing, SDR/RevOps, Sales, Data, IT, and Security stakeholders.

Requirements

• Vector databases / RAG workflows, including experience with Pinecone or structured knowledge retrieval.
• Experience building AI agents for GTM use cases such as:
  • SDR prospecting
  • lead enrichment
  • account research
  • CRM hygiene
  • outbound personalization
• Hands-on experience with AI-native GTM tools, such as Claude Managed Agents, MCP, Clay, Snowflake, HockeyStack, Gong, Outreach, or similar.
• Strong experience with Salesforce administration and/or HubSpot operations / marketing automation architecture.
• 4+ years in Marketing Ops, Revenue Ops, GTM systems, AI Ops, marketing automation, or a related technical GTM role.
• Experience supporting ABM, intent-based marketing, paid audience sync, or multi-channel GTM activation.
• Hands-on integration experience across GTM systems: Salesforce, HubSpot, Clay, Outreach, Gong, LinkedIn Ads, Snowflake, etc.
• Proficiency with APIs, webhooks, JSON, data enrichment, field mapping, and cross-system automation.
• Strong understanding of B2B SaaS funnel / GTM motions (lead routing, SDR workflows, campaign attribution, pipeline creation, account-based marketing).
• Ability to build and iterate quickly: test, learn, improve continuously.
• Comfortable operating in a fast-evolving AI/tools environment.
• Familiarity with Python, SQL, JavaScript, or low-code automation.

Nice-to-haves / additional strengths

• Experience in cybersecurity, identity security, enterprise SaaS, or similarly complex B2B environments.
• Experience with AI workflow platforms such as Claude, ChatGPT, Cursor, Claygent, or similar.
• Strong communication skills to explain technical concepts to non-technical stakeholders.