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Marketing Ops AI Agent Engineer

2 months, 3 weeks ago
United States
Full-time
Mid Level
AI Engineer
Artificial Intelligence and Machine Learning
HubSpot JavaScript JSON LinkedIn Ads Python Salesforce Snowflake SQL
Apply Now
Saviynt

Saviynt

Saviynt is the leading cloud identity governance platform providing access governance and intelligence solutions for critical applications on Cloud and Enterprise, ensuring operational efficiency, risk reduction, and simplified identity management.

Internet Software & Services
251-1K
Founded 2010
$170M raised
View All Jobs 32

Description

  • Build, configure, test, and optimize AI agents for prospecting, enrichment, scoring, routing, outreach, and reporting workflows.
  • 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 run reliably, repeatably, and at scale.
  • Build agents that monitor GTM signals such as job changes, hiring velocity, funding events, web intent, content engagement, and account fit.
  • Create workflows that reduce manual research and provide SDRs with prioritized accounts, stronger contact context, and better 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 for inbound leads, event leads, partner leads, and prospecting lists before they enter downstream systems.
  • 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 for AI agents.
  • Support audience segmentation across cold, warm, and hot account and contact cohorts.
  • Build and maintain AI-powered data quality workflows to improve CRM and marketing data accuracy.
  • Design workflows for employment verification, LinkedIn URL enrichment, region and location detection, account and contact enrichment, and stale data detection.
  • 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 unified activation model.
  • 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.
  • Monitor workflow performance and recommend improvements based on adoption, output quality, conversion impact, and operational efficiency.

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.
  • Experience with Claude Managed Agents, MCP, Clay, Snowflake, HockeyStack, Gong, Outreach, or similar AI-native GTM tools is preferred.
  • Experience building AI agents for SDR prospecting, lead enrichment, account research, CRM hygiene, or outbound personalization is preferred.
  • Familiarity with Python, SQL, JavaScript, or low-code automation platforms is preferred.
  • Experience with vector databases, RAG workflows, Pinecone, or structured knowledge retrieval is preferred.
  • Experience with Salesforce administration, HubSpot operations, campaign operations, or marketing automation architecture is preferred.
  • Experience supporting ABM, intent-based marketing, paid audience sync, or multi-channel GTM activation is preferred.
  • Experience in cybersecurity, identity security, enterprise SaaS, or another complex B2B selling environment is preferred.
  • Comfort working in a fast-moving environment where AI capabilities, tools, and internal processes are evolving quickly is preferred.
  • Complete security and privacy literacy and awareness training during onboarding and annually thereafter, if required for the role.
  • Review and adhere to Information Security/Privacy Policies and Procedures, including data classification, retention and handling, incident response, business continuity/disaster recovery, mobile device, account management, access control, personnel security, and privacy policies, if required for the role.

Benefits

  • Remote US work arrangement.
  • Full-time employment.
  • Opportunity for growth and learning through challenging, high-impact work.
  • Welcoming and positive work environment.
  • Equal opportunity employer with consideration regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Interested in this position?

Apply directly on the company website

Apply Now

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