AI Automation Engineer

Role Description

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 at Cengage. You will partner directly with sales operations, marketing, and RevOps 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.

Key Responsibilities

• 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, HubSpot, 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 (ZoomInfo, Clearbit)
  • Identify and resolve workflow friction points slowing down pipeline velocity
  • Instrument workflows with telemetry to surface bottlenecks and measure automation impact
  • Partner with RevOps 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

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field
• 4+ years of experience in automation engineering, software development, or RevOps/MarOps 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, HubSpot, 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, PandaDoc)
• Background in proposal automation or contract intelligence platforms
• Experience with data enrichment platforms (ZoomInfo, Clearbit, Apollo)
• Familiarity with agentic AI frameworks (LangChain, CrewAI, AutoGen)
• Experience in EdTech or enterprise B2B SaaS environments

Tools & Technologies

• Languages: Python, JavaScript/TypeScript, SQL, Apex
• AI/ML: OpenAI API, Anthropic API, AWS Bedrock, LangChain
• Salesforce: Flow, Apex, Einstein, Salesforce APIs, CPQ
• Marketing: Marketo, HubSpot, 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 RevOps
• Technical Pragmatism — chooses the right tool for the job rather than over-engineering
• Business Acumen — translates technical capability into revenue and efficiency language

Benefits

• Opportunity to shape AI at scale across a global learning company
• Direct impact on business outcomes, product, and workforce productivity
• Access to cutting-edge AI tools, platforms, and technologies
• Collaborative team environment focused on innovation and continuous improvement
• Professional development and learning opportunities