Pan Macmillan

About the Company

At Pan Macmillan we publish a broad and vibrant range of books for audiences of all ages from dazzling bestsellers to influential prize-winners; books to inspire lifelong readers and listeners to enduring classics for generations to come. The fourth largest UK publisher, we pride ourselves on publishing successfully and sustainably and are committed to working together to positively impact culture and society at large.

Our brilliant authors and illustrators include: Dapo Adeola, Tomi Adeyemi, Kate and Kay Allinson, Pam Ayres, David Baldacci, Floella Benjamin, Nancy Birtwhistle, Olivie Blake, Rod Campbell, Cassandra Clare, Ann Cleeves, Hernan Diaz, Emma Donoghue, Carol Ann Duffy, Julia Donaldson, Allie Esiri, Andy Griffiths, Kristin Hannah, France Hardinge, Robert Hardman, Natalie Haynes, Lenny Henry, Alan Hollinghurst, Morgan Housel, Peter James, Toshikazu Kawaguchi, Vex King, Casey McQuiston, Lydia Monks, Kate Morton, Kate Mosse, David Olusoga, John Patrick Green, Alexandra Potter, Patrick Radden Keefe, TJ Klune, Marcus Rashford, Camilla Reid, Chris Riddell, Lucinda Riley, CJ Sansom, Axel Scheffler, Danielle Steel, Douglas Stuart, Karen Swan, Adrian Tchaikovsky, Colm Tóibín, Louis Theroux, Leah Williamson and Hanya Yanighara.

Macmillan was founded in 1843 by Daniel and Alexander Macmillan, two brothers from a crofting family on the Scottish Isle of Arran: Daniel was the business brain, while Alexander laid the literary foundations, publishing great authors and poets including Lewis Carroll, Christina Rosetti and Thomas Hardy. Pan was founded 100 years later by Alan Bott and became one of the first popular paperback publishers in the UK. Pan published many famous authors for the first time in paperback, including Ian Fleming and Agatha Christie. In 1987, Pan became wholly owned by Macmillan and the company became known as Pan Macmillan.

Listed Jobs

Company Name

Pan Macmillan

Job Title

AI Solutions Manager

Job Description

Job Title: AI Solutions Manager Role Summary: Lead the identification, design, and deployment of AI-enabled solutions that deliver measurable business value across publishing operations. Bridge business and technology teams, prototype rapid proof-of-concept tools, and champion AI adoption. Expactations: Proven track record in AI solution delivery, strong prototyping skills with low-code/no-code tools, deep LLM knowledge, agile project execution, stakeholder communication, compliance awareness, and inclusive leadership. Key Responsibilities: - Identify and prioritize high-impact AI use cases across publishing workflows. - Design, prototype, and iterate proof-of-concept tools using low-code/no-code platforms, Python scripts, and LLMs. - Conduct discovery workshops with stakeholders to co-create actionable roadmaps. - Lead end-to-end AI initiatives using Scrum, Kanban, or Lean frameworks, defining milestones and scopes. - Embed AI tools into daily operations, providing coaching and change management support. - Collaborate with broader AI teams (e.g., Chaptr) to share best practices and prompt libraries. - Coordinate with data, technology, and legal teams to ensure compliance and data privacy. - Evaluate emerging AI vendors and tools for business fit. - Promote diversity, equity, and inclusion in AI projects and publishing content. - Maintain knowledge of industry trends and emerging AI capabilities. Required Skills: - AI solution delivery experience with measurable outcomes. - Proficient in low-code/no-code platforms (e.g., Zapier, Make, Cursor, Lovable) and scripting (Python). - Deep understanding of LLM prompting, agentic workflows, and fine-tuning. - Agile project management (Scrum, Kanban, Lean). - Excellent stakeholder management and communication skills. - Ability to translate technical concepts to non-technical audiences. - Strong analytical mindset and data-driven decision-making. - Knowledge of data privacy regulations and AI compliance. - Inclusive and collaborative leadership approach. - Curiosity and continuous learning orientation. Required Education & Certifications: Bachelor’s degree in Computer Science, Data Science, Information Technology, or related field (Master’s preferred). Relevant certifications in AI/ML, Agile, or project management are advantageous.

London, United kingdom

Hybrid

27-01-2026