Responsibilities

• Design and deploy AI-powered applications embedded within marketing and CRM infrastructure
• Build and productionize LLM-driven workflows, agentic systems, and retrieval-augmented (RAG) architectures
• Architect secure integrations across Salesforce, marketing automation platforms, data warehouses, and external APIs
• Develop scalable orchestration frameworks for AI workflows (event-driven, API-based, and automation-triggered systems)
• Implement monitoring, logging, evaluation, and guardrails for production AI systems
• Establish AI governance, access controls, and reliability standards within marketing systems
• Optimize performance, latency, and cost of AI-powered workflows
• Partner cross-functionally with Marketing, Revenue Operations, and Engineering teams to translate business requirements into scalable AI applications

Requirements

• 4+ years of experience in software engineering or AI engineering
• Strong proficiency in Python and SQL
• Experience building and deploying LLM-based applications in production environments
• Experience working with LLM APIs, vector databases, embeddings, and RAG architectures
• Experience integrating systems via APIs, webhooks, and event-driven frameworks
• Experience deploying and maintaining systems in AWS, GCP, or Azure
• Strong understanding of system design, security, and reliability in distributed environments
• Direct experience working within or integrating with modern marketing and revenue technology stacks, including:
• Marketo (or similar marketing automation platforms such as HubSpot or Pardot)
• Salesforce (CRM architecture, objects, workflows, APIs)
• Tableau (or similar BI tools such as Looker or Power BI)
• Clay (data enrichment and outbound automation workflows)

Preferred

• Direct experience working within or integrating with modern marketing and revenue technology stacks, including:
• Marketo (or similar marketing automation platforms such as HubSpot or Pardot)
• Salesforce (CRM architecture, objects, workflows, APIs)
• Tableau (or similar BI tools such as Looker or Power BI)
• Clay (data enrichment and outbound automation workflows)
• Snowflake, BigQuery, or other cloud data warehouses
• Segment or other CDPs
• Outreach, Salesloft, or similar sales engagement platforms
• Zapier, Workato, or other workflow automation tools
• Reverse ETL tools (Hightouch, Census)
• dbt or modern data transformation frameworks

Benefits

• Ability to work remotely, with office setup reimbursement
• Competitive salary
• Unlimited PTO
• Paid holidays and sick time
• Health, vision, and dental insurance
• Life, short and long-term disability insurance