AI Automation Engineer - Sales & Marketing

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 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. 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 Required 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 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 Equal Opportunity Employer Cengage is committed to working with broad talent pools to attract and hire strong and most qualified individuals. Our job applicants are considered regardless of any classification protected by applicable federal, state, provincial or local laws. Accommodation Statement Cengage is also committed to providing reasonable accommodations for qualified individuals with disabilities including during our job application process. If you are an applicant with a disability and require reasonable accommodation in our job application process, please contact View email address on click.appcast.io. Compensation At Cengage Group, the full base pay range for this position is $101,900.00 – $163,000.00 USD. Sales roles often incorporate a significant incentive compensation program beyond this base pay range. In this position, you will be eligible to participate in the company’s discretionary incentive bonus program with an individual target of 10% annual. The bonus target amount is not guaranteed and is dependent on individual performance and overall company results among other factors. #J-18808-Ljbffr