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- Tasks: Lead the development of AI-powered optimisation and machine learning capabilities.
- Company: Anaplan is a leading platform for business decision-making, trusted by Fortune 50 companies.
- Benefits: Enjoy a diverse culture, remote work options, and opportunities for personal growth.
- Why this job: Join a team of innovators committed to customer success and a winning culture.
- Qualifications: Master’s degree in a relevant field and experience in product management for optimisation or ML solutions.
- Other info: We celebrate diversity and provide accommodations for individuals with disabilities.
The predicted salary is between 54000 - 84000 £ per year.
At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading scenario planning and analysis platform, enabling our customers to outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture. Our customers include Fortune 50 companies such as Coca-Cola, LinkedIn, Adobe, LVMH, and Bayer, among over 2,400 global companies relying on our best-in-class platform.
Our Winning Culture drives our teams of innovators. We champion diversity of thought and ideas, behave like leaders regardless of title, are committed to ambitious goals, and celebrate our wins. Supported by operating principles of being strategy-led, values-based, and disciplined in execution, you’ll be inspired, connected, developed, and rewarded here. Embrace your uniqueness—join us and be your best self!
Role Overview
The Optimization and ML Product Manager will lead the development and enhancement of AI-powered optimization and machine learning (ML) capabilities. This role requires expertise in mathematical programming (linear and quadratic programming), machine learning models, and solver technologies to create advanced decision-support solutions for enterprise customers. This position demands a combination of technical depth, strategic vision, and cross-functional leadership to drive innovation in AI-driven decision-making, forecasting, and optimization.
Your Impact
- Develop and Refine Product Roadmap: Define and execute the product roadmap for optimization and machine learning capabilities, aligning innovations with business needs and market trends.
- Collaboration and Stakeholder Management: Partner with data scientists, engineers, designers, and business teams to define product requirements, ensuring solutions provide tangible customer value and business impact.
- Feature Prioritization and Development: Prioritize features based on customer feedback, market research, technical feasibility, and business value. Manage the entire product lifecycle from ideation to deployment and post-launch refinement.
- Performance Monitoring and Continuous Improvement: Establish and track KPIs for model accuracy, scalability, and efficiency. Iterate on product features to enhance solver performance based on data-driven insights.
- Mathematical Programming and Solver Integration: Develop and integrate linear and quadratic programming solutions into Anaplan’s platform, working with solvers like Gurobi and other mathematical engines.
Your Qualifications
- Master’s degree in Applied Mathematics, Machine Learning, Computer Science, or related field.
- Proven experience in product management for optimization and/or ML solutions.
- Strong track record in developing and deploying advanced analytics and enterprise ML products.
- Expertise in Mathematical Optimization: linear programming (LP), quadratic programming (QP), and mixed-integer programming (MIP).
- Proficiency in Machine Learning models, including time-series forecasting, clustering, random forest, and deep learning.
- Hands-on experience with solvers like Gurobi, CPLEX, SCIP, or GLPK.
- Familiarity with Agile methodologies such as Scrum or Kanban.
Preferred Skills
- Strategic thinking for long-term AI/ML optimization strategies.
- Strong analytical skills for assessing and refining AI solutions.
- Customer-centric mindset to translate business challenges into AI solutions.
- Cross-functional collaboration skills to drive product adoption.
- Leadership and communication skills to articulate technical concepts to stakeholders.
- Adaptability and innovation to incorporate emerging AI technologies.
Our Commitment
We value diversity, equity, inclusion, and belonging, fostering a respectful environment where all individuals are valued and their authentic selves are welcomed. We provide reasonable accommodations for individuals with disabilities throughout the hiring process and employment.
Fraud Disclaimer
Beware of fraudulent job offers. All official communications from Anaplan will come from an @anaplan.com email address and involve a thorough interview process.
UK - Principal AI Product Manager - EH employer: Anaplan
Contact Detail:
Anaplan Recruiting Team
people@anaplan.com
StudySmarter Expert Advice 🤫
We think this is how you could land UK - Principal AI Product Manager - EH
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning, especially in the context of optimisation. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the field of product management and AI. Attend industry events or webinars where you can meet people from Anaplan or similar companies. Building these connections can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your experience with mathematical programming and solver technologies in detail. Be ready to share specific examples of how you've applied these skills in previous roles, as this will demonstrate your technical expertise.
✨Tip Number 4
Showcase your understanding of Agile methodologies. Be prepared to discuss how you've successfully managed product lifecycles using Scrum or Kanban, as this aligns with the expectations for the role at Anaplan.
We think you need these skills to ace UK - Principal AI Product Manager - EH
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Principal AI Product Manager position at Anaplan. Understand the key responsibilities and qualifications required, especially focusing on AI, machine learning, and mathematical programming.
Tailor Your CV: Customise your CV to highlight relevant experience in product management, particularly in optimization and machine learning. Emphasise your expertise in mathematical programming and any hands-on experience with solvers like Gurobi or CPLEX.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and product management. Discuss how your background aligns with Anaplan's goals and culture, and provide specific examples of how you've driven innovation in previous roles.
Highlight Collaboration Skills: In your application, emphasise your ability to work cross-functionally with data scientists, engineers, and business teams. Provide examples of successful collaborations that led to impactful product outcomes.
How to prepare for a job interview at Anaplan
✨Showcase Your Technical Expertise
Make sure to highlight your knowledge in mathematical programming and machine learning during the interview. Be prepared to discuss specific projects where you've applied these skills, especially with solvers like Gurobi or CPLEX.
✨Demonstrate Strategic Thinking
Anaplan values strategic vision, so come ready to discuss how you would align AI/ML innovations with business needs. Think about long-term strategies and be prepared to share examples of how you've successfully implemented them in past roles.
✨Emphasise Collaboration Skills
This role requires working closely with various teams. Share experiences that showcase your ability to collaborate effectively with data scientists, engineers, and business stakeholders to drive product success.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Practice articulating how you would approach challenges related to optimization and machine learning, focusing on customer-centric solutions.
