Optimization and ML Product Manager

At Anaplan, we are a team of innovators who are focused on optimizing business decision-making through our leading scenario planning and analysis platform so our customers can 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 rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies that rely on our best-in-class platform.

Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals and we have fun celebrating 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. Everything that makes you unique is welcome; join us and be your best self!

The Optimization and ML Product Manager will lead the development and enhancement of AI-powered optimisation and machine learning (ML) capabilities. This role requires strong expertise in mathematical programming (linear and quadratic programming), machine learning models, and solver technologies to create advanced decision-support solutions for enterprise customers.

This role demands a combination of technical depth, strategic vision, and cross-functional leadership to drive innovation in AI-driven decision-making, forecasting, and optimisation.

Your Impact:

Develop and Refine Product Roadmap:

• Define and execute the product roadmap for optimisation and machine learning capabilities.
• Align innovations with business needs and market trends.

Collaboration and Stakeholder Management:

• Partner with data scientists, engineers, designers, and business teams to define product requirements.
• Ensure optimisation models and ML solutions provide tangible customer value and business impact.

Feature Prioritisation and Development:

• Prioritise 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 key performance indicators (KPIs) for model accuracy, scalability, and efficiency.
• Iterate on product features to improve optimization solver performance based on data-driven insights.

Mathematical Programming and Solver Integration:

• Develop and integrate linear and quadratic programming solutions into Anaplan’s platform.
• Work with optimisation engines like Gurobi and other mathematical solvers to enhance problem-solving capabilities.

Your Qualifications:

• Master’s degree in Applied Mathematics, Machine Learning, Computer Science, or a related field.
• Proven experience in product management for optimisation, and/or ML solutions.
• Strong track record in developing and deploying advanced analytics and/or ML-based enterprise products.
• Mathematical Optimisation Expertise: Strong knowledge of linear programming (LP), quadratic programming (QP), and mixed-integer programming (MIP).
• Machine Learning Proficiency: Understanding of ML models, including time-series forecasting, clustering, random forest, and deep learning.
• Experience with Solvers: Hands-on experience with Gurobi, CPLEX, or open-source solvers like SCIP or GLPK.
• Agile Product Development: Familiarity with Agile methodologies like Scrum or Kanban.

Preferred Skills

• Strategic Thinking: Ability to develop long-term strategies for AI/ML-driven optimisation.
• Data-Driven Decision Making: Strong analytical skills to assess model performance and refine AI solutions.
• Customer-Centric Approach: Experience translating business challenges into AI-driven solutions.
• Cross-Functional Collaboration: Ability to work with engineering, sales, and marketing teams to drive product adoption.
• Leadership & Communication: Ability to articulate technical concepts to business stakeholders and drive alignment.
• Adaptability & Innovation: Ability to navigate and integrate emerging AI technologies into business solutions.

Our Commitment to Diversity, Equity, Inclusion and Belonging 

Build your career in a place that thrives on diversity, equity, inclusion, and belonging. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! 

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. 

Fraud Recruitment Disclaimer 

It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.  

Anaplan does not: 

• Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.  
• Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible, and then followed up via written communication. 

All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.