Senior Product Manager, Discovery

Podimo
London
1 year ago
Applications closed

Related Jobs

View all jobs

Principal Data Engineer

Principal Data Engineer

Principal Data Engineer

Senior Machine Learning Scientist

Senior Machine Learning Scientist

Senior Data Engineer

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 to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.