Senior Product Manager, Discovery

Podimo
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer - Research

Data Engineering Product Owner, Technology, Data Bricks, Microsoft

Data Analyst - Farming Operations

Senior Data Engineer (AWS, Airflow, Python)

Senior Data Engineer (AWS, Airflow, Python)

Data Analyst

We are looking for a Senior Product Manager to join our amazing Product team. Come join us on our journey to Enrich Lives Through Listening!

For a complete understanding of this opportunity, and what will be required to be a successful applicant, read on.

This is the role

As a Senior Product Manager driving Discovery, you will play a pivotal role in shaping the future of how users explore and engage with podcasts and audiobooks. You'll lead innovation at the intersection of content discovery, AI-driven personalization, and search technologies, making it easier for users to find their next favorite piece of content. In collaboration with the broader product and tech teams, you will:1. Inspire : Be the visionary storyteller for our discovery platform, ensuring every recommendation, search result, and feature enhances user engagement and aligns with Podimo’s mission.2. Lead : Work closely with engineers, designers, researchers and our world-class content team to create seamless, personalized user experiences that drive user activation and retention.3. Shape the Future:

Stay at the forefront of AI and machine learning trends, integrating advanced algorithms to continuously optimize recommendations, search functionality, and onboarding experiences.4. Activate & Grow:

Focus on user activation by ensuring that new users are quickly finding content that captivates them. Use data, user insights, and AI-powered strategies to turn first-time visitors into long-term engaged users.5. Optimize:

Continuously improve the user experience by analyzing feedback, refining recommendations, and implementing innovative solutions.You will report directly to our Chief Product Officer, with the flexibility to work from any of our offices in Copenhagen, Berlin, Madrid, Amsterdam, or Vilnius. A remote location can be an option for an exceptional candidate based within CET+/-2.

This is you

Are you a creative yet analytical mind who loves to steer the ship? Do you dream in KPIs, sprint cycles, and user personas? Are you obsessed with building and shipping delightful user experiences? Most importantly - do you believe in the magic of storytelling and the power of human voices to shape our world?If you answered yes, you might be the right person to join our kick-ass team!

Your Skills & Experience

E

xperience : You have 5+ years of experience in product management, with a solid track record of creating and managing successful consumer products. Experience building AI-driven products is a plus.Attitude : Have a “can-do“ attitude, and passion for making things happen. You're flexible and adaptable - the constantly changing landscape of a fast-paced tech startup excites youMindset : Growth mindset isn't just a buzzword for you - it’s a way of life. Every experience is an opportunity to learn and grow. Ownership and seeing the big picture - you're autonomous and great at taking initiativeTeam player : You have a passion for mentoring and growing other team members. You are an excellent collaborator, able to work with a variety of personalities hailing from different cultures and backgroundsCommunications : You can explain complex scenarios and solutions in a clear and concise way. You're as comfortable presenting to the CEO as you are brainstorming with engineersData fluency : You comfortably utilize data in identifying opportunities and making product decisionsNaturally, being passionate and knowledgeable about podcasts, audio content, media, and entertainment is a big plus!Why Join Podimo?

Top notch team. Work with and learn from a top-notch team hailing from Spotify, YouTube, Meta / Instagram, Uber and moreG rowth & support .

We believe in supporting our team's personal and professional developmentI

mpact . Have a massive impact at an international start up, move fast, and see results immediatelyOwnership.

ESOP (Employee Stock Ownership Plan) for all employeesF

lexibility . Opportunity to work flexible hours and remotely - while also spending time with the team in person across our offices in EuropeF amily friendly .

Up to six months of fully paid parental leave for all new parents - no matter how you identify or where in the world you live

This is us

Founded in Copenhagen in 2019, Podimo is a platform for podcast and audiobook lovers as well as audio content creators. Our app puts a world of podcasts and audiobooks at your fingertips. Our revenue-sharing model rewards creators for making content that people want to hear – whether they have an established following or a niche audience.We're a courageous and curious bunch. We recognize the value every individual brings, and respect our coworkers’ ideas, opinions, and time. We approach our work with integrity and humility and believe that we are better together. We have zero time for brilliant jerks.We’re fiercely passionate about discovering, creating, and obsessing over great stories. We support our creators deeply and have massive respect for their process as we help them bring their most exciting ideas and stories to life. We love what we do, but more importantly, we have a good time doing it.We seek to build a company and culture that mirrors the diversity of the world we’re living in. This means; diversity of talent, voices, ideas, and thoughts. That goes both for our brand, our content, our creators, and our teams.You are welcome at Podimo for who you are, no matter where you come from, what you look like, or what stories you have playing in your headphones.

#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.