AI Automation Engineer - Sales & Marketing

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At Cengage, our employees have a direct impact in helping students around the world discover the power and joy of learning. We are bonded by our shared purpose – driving innovation that helps millions of learners improve their lives and achieve their dreams through education.

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We achieve these priorities through programs, benefits, and initiatives that are integrated into the fabric of how we work every day. To learn more, please see  .

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.

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, 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…