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AI Automation Engineer - Sales & Marketing

Job in Cheyenne, Laramie County, Wyoming, 82007, USA
Listing for: Cengage Group
Full Time position
Listed on 2026-05-26
Job specializations:
  • IT/Tech
    AI Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

AI Automation Engineer – Sales & Marketing

The AI Automation Engineer – Sales & Marketing is a hands‑on technical role focused on building AI‑driven workflows that accelerate revenue generation and reduce friction across the commercial engine  will partner directly with sales operations, marketing, and Rev Ops leaders to identify high‑value automation opportunities and ship weekly improvements.

This role sits at the intersection of GTM systems, AI/ML capabilities, and enterprise automation. The ideal candidate knows Salesforce deeply, has built against marketing automation platforms, and can rapidly prototype AI‑powered improvements to proposal generation, lead qualification, and campaign execution. You should be equally comfortable in a code editor and on a quarterly business review with sales leadership.

Revenue‑Focused AI Automation
  • Automate proposal generation, contract drafting, and RFP response workflows using LLMs and document AI
  • Build AI‑powered lead qualification, scoring, and routing systems integrated with Salesforce
  • Automate campaign workflows across marketing platforms (Marketo, Hub Spot, Salesforce Marketing Cloud)
  • Develop AI assistants for sales reps to accelerate account research, call prep, and follow‑up
  • Create intelligent content generation pipelines for marketing collateral, email copy, and personalization
Salesforce & GTM Systems Integration
  • Integrate AI capabilities directly into Salesforce via Apex, Flow, and Einstein AI platforms
  • Build API integrations between CRM, CPQ, marketing automation, and enrichment platforms (Zoom Info, Clearbit)
  • Identify and resolve workflow friction points slowing down pipeline velocity
  • Instrument workflows with telemetry to surface bottlenecks and measure automation impact
  • Partner with Rev Ops on data quality, hygiene, and enrichment automation
Continuous Improvement & Delivery
  • Deliver continuous weekly improvements to deployed workflows based on user feedback
  • Quantify proposal cycle time reduction, pipeline velocity gains, and rep productivity lift
  • Partner with sales and marketing stakeholders to identify the next tranche of opportunities
  • Maintain documentation, onboarding materials, and runbooks for all deployed automations
  • Monitor production workflows for reliability, drift, and edge case handling
Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field
  • 4+ years of experience in automation engineering, software development, or Rev Ops/Mar Ops engineering
  • Strong proficiency in Python and experience building production automation
  • Hands‑on experience with LLMs and modern AI APIs (OpenAI, Anthropic, AWS Bedrock)
  • Deep experience with Salesforce — administration, Flow, Apex, or Salesforce APIs
  • Experience with at least one major marketing automation platform (Marketo, Hub Spot, Pardot, Eloqua)
  • Strong understanding of B2B sales and marketing processes and KPIs
  • Excellent communication skills to work with revenue leadership and technical stakeholders
Preferred Qualifications
  • Salesforce certifications (Administrator, Platform Developer, Sales Cloud Consultant)
  • Experience with CPQ platforms (Salesforce CPQ, Conga, Panda Doc)
  • Background in proposal automation or contract intelligence platforms
  • Experience with data enrichment platforms (Zoom Info, Clearbit, Apollo)
  • Familiarity with agentic AI frameworks (Lang Chain, CrewAI, Auto Gen)
  • Experience in EdTech or enterprise B2B SaaS environments
Tools & Technologies
  • Languages:

    Python, JavaScript/Type Script, SQL, Apex
  • AI/ML:
    OpenAI API, Anthropic API, AWS Bedrock, Lang Chain
  • Salesforce:
    Flow, Apex, Einstein, Salesforce APIs, CPQ
  • Marketing:
    Marketo, Hub Spot, Salesforce Marketing Cloud, Pardot
  • Automation: n8n, Zapier, Workato, Tray.io
  • Analytics:
    Salesforce reports, Tableau CRM, Snowflake
Key Competencies
  • Revenue Mindset — instinctively ties automation work to pipeline, cycle time, and deal velocity
  • Systems Thinking — sees the full GTM system and how automations cascade across it
  • Rapid Delivery — ships weekly improvements and iterates based on user feedback
  • Stakeholder Partnership — earns trust of sales leaders, marketers, and Rev Ops
  • Technical Pragmatism — chooses the right tool for the job rather…
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