A
Anaplan
Engineering Manager (Artificial Intelligence)
Skills
PythonProduct ManagementMicroservicesData AnalysisAIFinancial Planning
1 month ago
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Important information
Contract type:
Permanent
Location:
Manchester, UK
Work mode:
Onsite
Published on:
24 September 2026
What they need
- We’re looking for a hands-on Technical Lead to build and lead our Enterprise Grade AI Platform
- You’ll drive execution of our conversational AI, Generative and agentic AI roadmap, managing a team of talented engineers while remaining hands-on yourself
- This role requires both exceptional leadership skills and the ability to roll up your sleeves and solve complex technical problems
- Lead, mentor, and grow a team of 5-8 AI engineers, fostering a culture of technical excellence, innovation, and delivery
- Drive end-to-end execution of conversational AI features that enable users to interact with Anaplan models through natural language
- Oversee the development of agentic AI systems that can autonomously analyse data, generate insights, and execute planning workflows
- Own the team’s delivery roadmap, working closely with product management to prioritise features and manage technical trade-offs
- Establish engineering best practices for AI development, including testing strategies, evaluation frameworks, and deployment patterns
- Lead sprint planning, technical design reviews, and retrospectives to ensure consistent delivery velocity and quality
- Collaborate with AI Solutions Architects to translate architectural vision into executable engineering plans
- Build and maintain CI/CD pipelines for AI applications, including automated testing and prompt regression suites
- Partner with platform teams to ensure AI features integrate seamlessly with Anaplan’s core infrastructure
- Communicate progress, risks, and technical decisions to senior leadership and cross-functional stakeholders- Strong project management skills with experience using Agile/Scrum methodologies
- Strong hands-on experience building and deploying AI applications in production
- Proven track record of delivering complex technical projects on time with high quality
- Experience with agentic frameworks and autonomous agent architectures
- Demonstrated ability to mentor engineers and build cohesive, productive teams
- Proficiency in Python and modern software development practices (testing, code review, CI/CD)
- Software engineering experience while leading engineering teams
- Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns
- Excellent communication and stakeholder management abilities
- Background in distributed systems, microservices, or cloud-native architectures
- Familiarity with model fine-tuning, evaluation, and continuous improvement workflows
- Knowledge of financial planning, analytics, or business intelligence domains
- Experience with RAG systems, vector databases, and semantic search
- Experience leading teams in fast-growing startups or enterprise software companies
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