Algorithmic Execution Quant Jobs in Denver, CO (NOW HIRING)

Coursera + Udemy lets you choose the best way to work, whether it's from home, an office, or a collaboration space. We're a globally distributed team that comes together intentionally for collaboration, complex problem-solving, and key milestones - creating opportunities for teams to come together. If you're ready to make a global impact, help scale unique products across Coursera + Udemy, and grow your career, apply below.

About your skills

• Strategic Merchandising: You develop merchandising strategies that align learner needs with business objectives. You identify opportunities to improve discovery, engagement, conversion, and expansion by balancing customer insights, commercial priorities, and long-term platform strategy.

• Experimentation & Optimization: You use experimentation as a core decision-making tool. You develop hypotheses, design and execute A/B tests, interpret results with rigor, and translate learnings into scalable merchandising improvements that continuously optimize the learner experience and business performance.

• You leverage qualitative and quantitative data to identify trends, diagnose performance issues, and uncover growth opportunities. You synthesize complex information into actionable insights, prioritize work based on business impact, and make informed decisions supported by evidence.

• Cross-Functional Leadership: You build trusted partnerships across Product, Marketing, Design, Engineering, Analytics, and Content teams to deliver shared outcomes. You effectively influence stakeholders, align teams around common goals, and drive initiatives from strategy through execution in a highly collaborative environment.

About this role

• The Consumer Category Management team is responsible for helping learners discover the right content, offers, and learning pathways at every stage of their journey. Through strategic merchandising, the team shapes how learners experience Udemy - using on-platform experiences as a business lever to drive discovery, conversion, retention, and expansion.

• As a Senior Merchandising Manager, you will play a key role in establishing and evolving merchandising as a strategic growth function at Udemy. Working closely with the Director of Merchandising and cross-functional partners, you will develop merchandising strategies, introduce new capabilities, and create scalable merchandising practices that focus on maximizing learner engagement and driving revenue growth.

• You will run experiments and analyze performance data and trends to optimize offerings and ensure that users receive the most relevant and impactful content while driving business results. Collaborating with various teams, you will introduce new capabilities, design experiments, and refine our merchandising tactics to enhance the overall educational experience. 

• As Udemy and Coursera continue to integrate, you'll also help identify opportunities to connect learners with complementary products and learning experiences across the combined portfolio through thoughtful cross-sell and upsell merchandising strategies.

  This is an exciting opportunity to help shape the future of merchandising at one of the world's largest online learning platforms while influencing how millions of learners discover, purchase, and continue their learning journey.

What you'll be doing  

• Lead merchandising initiatives across key consumer surfaces, including homepage, navigation, browse, search, course pages (XDP), hubs, recommendation modules, and promotional placements.

• Partner with Category Managers to amplify strategic content launches, priority categories, seasonal campaigns, and business initiatives through thoughtful merchandising and content placement.

• Collaborate with Product and Engineering to define and enhance merchandising capabilities, including curated collections, candidate pools, business rules, personalization, and scalable merchandising tools.

• Design, execute, and analyze merchandising experiments to validate hypotheses, improve customer experiences, and optimize business outcomes.

• Analyze learner behavior, customer journeys, merchandising performance, and marketplace trends to identify opportunities for improved discovery, conversion, and expansion.

• Develop merchandising frameworks that balance learner needs, commercial priorities, editorial curation, and algorithmic recommendations to deliver the best customer experience.

• Partner across Udemy and Coursera teams to identify strategic cross-sell and upsell opportunities that introduce learners to complementary products, subscriptions, certificates, degrees, and learning experiences across the combined ecosystem.

• Help establish merchandising best practices, operating models, and measurement frameworks that enable the Category Management organization to scale merchandising capabilities over time.

What you'll have  

• Bachelor's degree in Business, Marketing, Analytics, or a related field, with 7+ years of experience in digital merchandising, e-commerce, category management, growth, marketplace strategy, or a related discipline.

• Demonstrated success developing merchandising strategies that drive measurable improvements in learner engagement, conversion, retention, and revenue.

• Strong experimentation mindset with experience designing A/B tests, interpreting results, and translating insights into scalable merchandising improvements.

• Exceptional analytical skills with experience using customer insights and performance data to prioritize opportunities and inform strategic decisions.

• Experience partnering cross-functionally with Product, Engineering, Design, Marketing, Analytics, and Data Science to deliver customer-centric solutions.

• Strong commercial acumen with the ability to balance learner experience, marketplace dynamics, and business objectives.

• Excellent communication and stakeholder management skills, with a demonstrated ability to influence across functions and levels of the organization.

• Experience with digital analytics, experimentation, and merchandising platforms such as Amplitude, Tableau, Optimizely, Adobe Analytics, Contentful, or similar technologies.