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AI Automation Engineer - Sales & Marketing

Job in Springfield, Sangamon County, Illinois, 62777, USA
Listing for: Cengage
Full Time position
Listed on 2026-06-04
Job specializations:
  • IT/Tech
    AI Engineer
Salary/Wage Range or Industry Benchmark: 101900 - 163000 USD Yearly USD 101900.00 163000.00 YEAR
Job Description & How to Apply Below

Cengage is a global education technology company serving millions of learners worldwide. 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.

Key Responsibilities
  • 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.
  • 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.
  • Deliver continuous weekly improvements to deployed workflows based on user feedback.
  • Quantify proposal cycle time reduction, pipeline velocity gains, and rep productivity lift.
  • 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 – instills a focus on pipeline, cycle time, and deal velocity.
  • Systems Thinking – views the full GTM system and automations’ cascading effects.
  • Rapid Delivery – ships weekly improvements and iterates on user feedback.
  • Stakeholder Partnership – earns trust of sales leaders, marketers, and Rev Ops.
  • Technical Pragmatism – chooses the right tool for the job without over‑engineering.
  • Business Acumen – translates technical capability into revenue and efficiency language.
What We Offer
  • 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.
Compensation

Base salary: $101,900 – $163,000 USD (annual target). The role is eligible for a discretionary incentive bonus program, with a 10% annual target. Total compensation varies with experience, performance, and location.

EEO Statement

Cengage is committed to working with broad talent pools to attract and hire the most qualified individuals. Applicants are considered, regardless of classification protected by applicable laws. Cengage also provides reasonable accommodations for qualified individuals with disabilities during the application process.

Warning

Be aware of targeted recruitment scams. Cengage always interviews candidates via live in‑person meetings, phone calls, and video calls before an offer is extended. Verify that communications come from an  email address.

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