Product Manager, Recommendations

About the job:
Full-time
Everyone has a story to tell. Medium is the place for stories to take shape and take flight. We believe that what you read and write matters, and we’re building a place that rewards depth, nuance, and time well spent over clicks and sensationalism. Over 100 million people connect and share their wisdom on Medium every month — and we’re growing! Our mission is to deepen our collective understanding of the world through the power of writing.

We (like our users) measure the value of Medium not by the number of clicks and views but by the quality of stories being discovered and read every day. Medium is not a pacifier where we hope people kill a couple of free minutes but where they come to deepen their understanding of the topics they care about. We have chosen to explicitly fight back against the attention economy by marrying the best of expert human curators and machine learning to match the very best content with each individual user. To meet this calling, Medium makes 8 billion recommendations a month. Our Quality Distribution team is focused on these connective experiences and we are seeking an experienced Product Manager, Recommendations who will lead our efforts to build a world-class recommendations system that delivers high quality stories to users based on their explicit and implicit interests.

What you will do:
Drive execution of the product and technical roadmap for the recommendations team
Proactively look for opportunities to improve recommendations across different surfaces at Medium
Coordinate with various stakeholders across the company including leadership, product, engineering, and data science teams to ship new features that align with business goals and company mission
Identify opportunities to advocate for and incorporate core distribution product decisions that bring value to the recommendations system
Develop a high-level understanding of our technical stacks: backend, machine-learning, databases and work with engineers to make important technical decisions
Drive discussions and planning around machine-learning model development, recommendation system components and features
Who are you?
At least 3 years of experience working in Product Management with hands on experience with consumer products
Experience as a software and/or machine-learning engineer working on the technical implementation of production services
Experience working on ML-based recommendation algorithms including feed generation, personalization, relevance targeting
Deep understanding of platforms that include user-generated content and social interactions
Strong track record of successfully leading and delivering complex product initiatives
Excellent leadership and communication skills, with the ability to inspire and motivate cross-functional teams
Strong analytical and problem-solving abilities, with a data-driven approach to decision-making, with SQL experience and the ability to write your own queries to pull the data you need
Passion for creating exceptional user experiences and driving customer satisfaction
Bachelors degree in computer science or related field
In addition to the new skills you’ll pick up, here’s what else you’ll enjoy by working at Medium:
Working with a fully distributed team: We’re totally remote and have teammates across the U.S. & France
Generous benefits that support your wellness and professional development
100% covered Medical benefits for employees and 70% for dependents
Parental Leave & additional Family Support (Cleo)
Covered sessions for Therapy and Professional Coaching (Spring Health)
Stipends for Wellness, Learning and your home office/wifi
Unlimited PTO, Winter Company Breaks, and standard company holidays
This is a fully remote position and you can be based anywhere within the U.S. EST working hours are preferred as the team is distributed across the U.S. and France.

The compensation range for this position is between $190k-$251,257k per year base salary + equity and benefits, and is dependent on years and depth of experience.

At Medium, we foster an inclusive, supportive, fun and challenging team environment. We value having a team that is made up of a diverse set of backgrounds and respect the healthy expression of diverse opinions. We embrace experimentation and the examination of all kinds of ideas through reasoning and testing. Come join us as we continue to change the world of digital media.