Marketing Ops AI Agent Engineer

permanent

Fully Remote

Only accepting applications from: United States

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Design workflows that catch bad records before SDRs waste time on outdated contacts or inaccurate account information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

Experience

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