We believe in the power and joy of learning

At Cengage, our employees have a direct impact in helping learners 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.

About This Role

The AI Enablement team builds and ships AI systems across Cengage's most critical product lines — adaptive learning, enterprise agent deployment, business intelligence, and sales intelligence. This role puts you at the point of impact: embedded directly with product, engineering, and business teams to deploy, configure, and operationalize AI/ML systems that are already in motion.

You won't be building models in isolation. You'll be the technical bridge between what our models can do and what our teams actually need — moving fast, diagnosing problems in production, and configuring solutions that work in the real conditions of each team's environment. Where gaps exist between model capability and deployment reality, you close them.

What you'll do here:

Adaptive learning platform — deployment & integration

• Embed with the adaptive learning team to deploy and configure the learner state engine in production — ensuring the knowledge graph structure, mastery probability model, and interaction signal pipeline are correctly integrated and performing as designed
• Instrument and validate the compounding understanding model in live environments: supervising session-over-session signal quality, surfacing degradation early, and working directly with LLMOps to tune generation parameters derived from learner state
• Own the feedback loop between what the model predicts and what actually happens — diagnosing mismatches, validating fixes, and keeping the system calibrated as learner data accumulates
• Translate technical model behavior into clear reporting for product and curriculum teams who need to act on what the system is learning

AI agent platform — certification & readiness operations

• Deploy and operationalize the agent certification and readiness scoring system — configuring scoring dimensions, validating threshold behavior, and ensuring manufactured agents are assessed correctly before reaching production
• Work hands-on with the agent pipeline to run readiness evaluations, flag failure-prone edge cases before deployment, and follow through with engineering when agents fall short of certification criteria
• Build and maintain the operational tooling that lets non-ML engineers understand what the scoring model is doing and why

Business intelligence agent — intelligence layer deployment

• Deploy and configure the customer loss pattern detection models beneath our BI agent — validating that churn signals, anomaly thresholds, and segmentation outputs behave correctly against live data
• Work directly with sales and business leaders to ensure model outputs translate into actionable, natural-language agent responses — adjusting insight logic as business context evolves
• Serve as the technical point of contact when BI agent outputs don't match business expectations: diagnose, fix, and document

Sales intelligence agents — field deployment

• Embed with vertical sales teams to deploy and configure sales intelligence agents — validating that CRM signal models surface the right risk and opportunity indicators for each vertical's specific context
• Configure and tune the feedback loop that improves insight quality over time based on acceptance rates and downstream outcomes — keeping agents relevant as sales processes evolve
• Translate field feedback into actionable model and configuration changes, working across engineering and data science to implement quickly

Skills you will need here:

• 4+ years in applied data science, ML engineering, or a technical client-facing/embedded role
• Strong Python data stack (pandas, scikit-learn, PyTorch or equivalent) and comfort working with model outputs in production environments
• Ability to diagnose model behavior in live systems — not just build models, but understand why they're doing what they're doing
• Experience working directly with non-technical collaborators: you can explain what a model is doing, why it matters, and what needs to change — without the math
• Comfort moving fast across multiple parallel workstreams with shifting priorities
• Familiarity with probabilistic models, knowledge graphs, churn modeling, or agent evaluation is a strong advantage
• Bonus: prior experience in edtech, customer success engineering, or solutions engineering

Why This Role

Most data science roles put you three steps removed from the outcome. This one puts you in the room where the outcome is decided. You'll work directly with the teams that use these systems every day — hearing in real time what works, what doesn't, and why — and you'll have the technical depth to do something about it. If you want to see your work matter fast, this is how you get there.

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.

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 us at accommodations.ta@cengage.com.

About Cengage

Cengage, a global education technology company serving millions of learners, provides affordable, quality digital products and services that equip students with the skills and competencies needed to be job ready. For more than 100 years, we have enabled the power and joy of learning with trusted, engaging content, and now, integrated digital platforms. We serve the higher education, workforce skills, secondary education, English language teaching and research markets worldwide. Through our scalable technology, including MindTap and Cengage Unlimited, we support all learners who seek to improve their lives and achieve their dreams through education.

Compensation

At Cengage Group, we take great pride in our commitment to providing a comprehensive and rewarding Total Rewards package designed to support and empower our employees. Click here to learn more about our Total Rewards Philosophy.

The full base pay range has been provided for this position. Individual base pay will vary based on work schedule, qualifications, experience, internal equity, and geographic location.  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.  This position's bonus target amount, which is not guaranteed and is dependent on individual performance and overall company results among other factors, is provided below.  

15% Annual: Individual Target

 

$117,100.00 - $187,300.00 USD