À propos
Head of Engineering / Senior Lead Job Summary As
Head of Engineering / Senior Lead, Emerging Technology & Software Engineering
, you will own the engineering vision and execution for AI-driven experiences within the
Pearson Learning Studio (XL+)
platform - an AI-first courseware ecosystem layering advanced intelligence on top of a modernized, domain-driven services architecture. You will lead a global, metrics-driven organization of ~100 engineers and data scientists across multiple scrum teams, shaping the delivery of next-generation learning experiences including
Student AI Mentor
,
Personalized Insights & Recommendations
, and analytics powered by
Learner Models, Knowledge Graphs, and shared platform services
. This role is for a grounded, low-ego leader who wins through trust, clarity, and execution - someone who builds strong teams, partners deeply with product and business leaders, and consistently turns emerging technology into real-world impact for students and educators. Key Responsibilities Engineering & Technology Leadership Define and execute the
AI and GenAI engineering strategy
aligned to Pearson's learning outcomes and business goals. Lead the design, development, and deployment of scalable AI solutions including conversational tutoring, personalization engines, and intelligent insights across the XL+ platform. Drive responsible adoption of
Generative AI
, LLMs, knowledge graphs, and learner modeling frameworks to improve engagement, retention, and learning efficacy. People & Culture Build and mentor a high-performing, psychologically safe engineering culture grounded in
humility, ownership, curiosity, and results
. Lead multiple distributed scrum teams, developing future leaders and ensuring consistent execution excellence across geographies. Foster collaboration across product, UX, analytics, content, and commercial teams - removing silos and aligning everyone to shared outcomes. Metrics-Driven Delivery Establish clear success metrics across delivery velocity, reliability, quality, adoption, and learner outcomes. Create strong operating rhythms using OKRs, agile metrics, experimentation frameworks, and business impact KPIs. Translate strategy into execution plans that consistently deliver high-quality outcomes at scale. Platform & Operational Excellence Define standards for architecture, data governance, model lifecycle management, and AI safety. Ensure all solutions meet strict standards for
accuracy, fairness, compliance, privacy, security, and reproducibility
. Continuously improve engineering productivity through automation, MLOps/LLMOps, CI/CD pipelines, and modern cloud practices. Stakeholder Partnership Serve as a trusted partner to senior business, product, and academic leaders - translating technical complexity into clear, actionable decisions. Communicate insights and risks with clarity, empathy, and credibility. Required Skills & Competencies Deep expertise in
Artificial Intelligence, Machine Learning, Generative AI, LLMs, and AI product engineering
. Strong background in
software engineering, data engineering, analytics platforms, and Python-based ecosystems
. Proven success leading
large,
metrics
-driven teams
in high-growth, complex environments. Exceptional interpersonal skills - able to inspire, listen, influence, and build trust without ego. Strong systems thinking, with the ability to connect learner needs, business strategy, and technology architecture. Track record of applying emerging technologies pragmatically - turning innovation into shipped products. Qualifications & Experience Master's or PhD in Computer Science, Data Science, Engineering, or a related field. 10+ years in software engineering, emerging technologies, analytics, and GenAI, including
5+ years leading organizations of 50+ engineers across multiple agile teams
. Demonstrated experience delivering AI-powered platforms in education, SaaS, or consumer-scale products. History of building teams that outperform on delivery, quality, and culture - not through command-and-control, but through clarity, trust, and accountability. This is a hybrid work setup, where the candidate will be required to work three days onsite at our Hoboken office. Applications will be accepted through February 10. This window may be extended depending on business needs. Compensation at Pearson is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific location. As required by the California, Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, New York State, New York City, Vermont, Washington State, and Washington DC laws, the pay range for this position is as follows: The full-time salary range for this role is between $240,000 - $260,000 This position is eligible to participate in an annual incentive program, and information on benefits offered is
here \#LI-AM1 Who we are: At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson. Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing TalentExperienceGlobalTeam@grp.pearson.com. Job:
Service Owner Job Family:
TECHNOLOGY Organization:
Higher Education Schedule:
FULL\_TIME Workplace Type:
On-site Req ID:
22616 ]]>
Compétences linguistiques
- English
Avis aux utilisateurs
Cette offre provient d’une plateforme partenaire de TieTalent. Cliquez sur « Postuler maintenant » pour soumettre votre candidature directement sur leur site.