Responsibilities

• Design, build, and deploy production agentic workflows against real marketing objectives, including research, enrichment, segmentation, content operations, and campaign and lifecycle automation
• Integrate agents with Salesforce and the surrounding martech stack, respecting existing data models, object structures, and operational hygiene
• Combine licensed data providers, public web sources, and internal first-party data into reliable, evaluated agent pipelines
• Work alongside marketing stakeholders to translate ambiguous business goals into scoped, shippable automation
• Build the evaluation and guardrail layer, including accuracy checks, human review points, and cost and latency controls, so marketers can trust the output
• Document patterns and train internal teams so the capability sustains after the engagement ends

Requirements

• Demonstrated experience building AI and agentic capabilities inside a marketing organization. You have shipped agents or AI automation for a marketing, demand generation, or revenue team, and you already understand funnel mechanics, lead qualification and routing, ICP and account scoring, attribution, list hygiene, and how marketing and sales hand work back and forth.
• Hands-on production work with Claude, including agentic patterns such as tool use, multi-step orchestration, structured outputs, retrieval, prompt and context engineering, and agentic coding workflows
• Salesforce fluency at the practitioner level, covering the data model, API integration, and how marketing data lives and moves inside a CRM
• Strong software engineering fundamentals in Python and/or TypeScript, API integration, and the ability to stand up and maintain services independently
• Experience integrating third-party and licensed data providers, including entity resolution, deduplication, and enrichment quality
• Comfort working embedded with a client team, operating with light supervision, and driving from a vague problem statement to a working system

Preferred

• Healthcare, health tech, provider, or payer domain exposure. Value-based care familiarity is a significant advantage.
• - B2B marketing to provider organizations, health systems, or physician practices
• - Experience with the marketing automation layer adjacent to Salesforce, such as Marketo, HubSpot, or Pardot
• - Track record as the first AI engineer embedded in a non-technical function