Product Manager

Frontiers Media S.A.
9 months ago
Applications closed

Related Jobs

View all jobs

Product Manager

Machine Learning Manager

Contract Python Software Engineer - Trading

Python Developer

Senior Data Scientist

Analytics Manager

Who we are

At Frontiers we are on a mission to make all science open, enabling the research community to develop the solutions we need to live healthy lives on a healthy planet.


Frontiers is the 3rd most-cited and 6th largest research publisher. Powered by custom-built technology, artificial intelligence, and rigorous quality standards, our research articles have been viewed more than 2.1 billion times, reflecting the power of research that is open for all.
 

Join the publishing revolution.
 

Follow the links below to learn more about our work.


What we can offer you

We provide a range of benefits across our locations, including but not limited to:

We are a remote-first organization and most of our roles are work-from-home

4 additional wellbeing days in addition to existing annual leave allowance

Access to learning platforms and dedicated learning & development time

A range of wellbeing initiatives, including free online yoga classes and an employee assistance plan 

Employees can dedicate three days each year to volunteer

The Role:

We are looking for a Product Manager to join a newly established team within Frontiers. This new unit is set to revolutionize scientific data management and collaboration. We are developing a platform designed to address the challenges researchers, funders, and academic institutions face in data sharing and utilization by leveragingstate-of-the-art technology. As we move towards the official launch of our product, we seek a Product Manager who possesses proven expertise in Product Management and a comprehensive understanding of the academic and scientific landscapes.

If you're a strategic thinker passionate about science and technology, we can offer you a unique opportunity to make a real difference.

What You Will Do:

Own the Product Vision and Roadmap:

Align the product vision and roadmap to market and stakeholder requirements.

Communicate and secure the organization’s understanding and buy-in.

Identify User Needs:

Identify users and their needs based on evidence.

Maintain a deep understanding of the target users.

Take full ownership of the user experience and collaborate with designers, developers, and stakeholders to create outcomes that add the most value.

Act as Scrum Product Owner:

Manage the entire product and development life cycle.

Act as Scrum Product Owner for a development team (near- or off-shore).

Collaboration and Communication:

Constantly communicate with all stakeholders in the appropriate language and abstraction level.

Work closely with designers, developers, and stakeholders to achieve product goals.

Collaborate with product marketing to ensure consistent, clear messaging of the product and its features.

Integrate feedback from product marketing into the roadmap.

Specifications and Reporting:

Write functional and technical specifications.

Define, track, and regularly report on KPIs and other metrics.

Requirements:

Proven track record in product management, preferably in tech product development.

Familiarity with Agile methodologies.

Deep understanding of the academic landscape and its stakeholders.

Outstanding communication and collaboration skills.

Strong analytical and strategic thinking skills.

Experience with data management platforms.

Proficiency with Figma for design collaboration.

Ability to fully own the user experience and maintain a deep understanding of the target users.

Ability to manage multiple projects and meet deadlines.

Proven ability to influence senior stakeholders.

Proficiency with product management tools (e.g., JIRA, Trello).

Adaptability to a fast-paced environment.

Apply now

Please click the 'apply' button on this page and submit your application in English.


Please inform us if you require any special accommodations to participate fully in our recruitment experience. You can contact us at for any additional support.
 

Equal opportunity statement


Frontiers actively embraces diversity and is a safe and welcoming workplace. Recruitment is free from discrimination – including based on race, national or ethnic origin, age, religion, disability, sex, gender identity or sexual orientation. With employees from more than 50 different nations, our diversity creates vibrant teams and constantly challenges us to appreciate multiple perspectives.

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

10 Ways AI Pros Stay Inspired: Boost Creativity with Side Projects, Hackathons & More

In the rapidly evolving world of Artificial Intelligence (AI), creativity and innovation are critical. AI professionals—whether data scientists, machine learning engineers, or research scientists—must constantly rejuvenate their thinking to solve complex challenges. But how exactly do these experts stay energised and creative in their work? The answer often lies in a combination of strategic habits, side projects, hackathons, Kaggle competitions, reading the latest research, and consciously stepping out of comfort zones. This article will explore why these activities are so valuable, as well as provide actionable tips for anyone looking to spark new ideas and enrich their AI career. Below, we’ll delve into tried-and-tested strategies that AI pros employ to drive innovation, foster creativity, and maintain an inspired outlook in an industry that can be both exhilarating and daunting. Whether you’re just starting your AI journey or you’re an experienced professional aiming to sharpen your skills, these insights will help you break out of ruts, discover fresh perspectives, and bring your boldest ideas to life.

Top 10 AI Career Myths Debunked: Key Facts for Aspiring Professionals

Artificial Intelligence (AI) is one of the most dynamic and rapidly growing sectors in technology today. The lure of AI-related roles continues to draw a diverse range of job seekers—from seasoned software engineers to recent graduates in fields such as mathematics, physics, or data science. Yet, despite AI’s growing prominence and accessibility, there remains a dizzying array of myths surrounding careers in this field. From ideas about requiring near-superhuman technical prowess to assumptions that machines themselves will replace these jobs, the stories we hear sometimes do more harm than good. In reality, the AI job market offers far more opportunities than the alarmist headlines and misconceptions might suggest. Here at ArtificialIntelligenceJobs.co.uk, we witness firsthand the myriad roles, backgrounds, and success stories that drive the industry forward. In this blog post, we aim to separate fact from fiction—taking the most pervasive myths about AI careers and debunking them with clear, evidence-based insights. Whether you are an established professional considering a career pivot into data science, or a student uncertain about whether AI is the right path, this article will help you gain a realistic perspective on what AI careers entail. Let’s uncover the truth behind the most common myths and discover the actual opportunities and realities you can expect in this vibrant sector.

Global vs. Local: Comparing the UK AI Job Market to International Landscapes

How to navigate salaries, opportunities, and work culture in AI across the UK, the US, Europe, and Asia Artificial Intelligence (AI) has evolved from a niche field of research to an integral component of modern industries—powering everything from chatbots and driverless cars to sophisticated data analytics in finance and healthcare. The job market for AI professionals is consequently booming, with thousands of new positions posted each month worldwide. In this blog post, we will explore how the UK’s AI job market compares to that of the United States, Europe, and Asia, delving into differences in job demand, salaries, and workplace culture. Additionally, we will provide insights for candidates considering remote or international opportunities. Whether you are a freshly qualified graduate in data science, an experienced machine learning engineer, or a professional from a parallel domain looking to transition into AI, understanding the global vs. local landscape can help you make an informed decision about your career trajectory. As the demand for artificial intelligence skills grows—and borders become more porous with hybrid and remote work—the possibilities for ambitious job-seekers are expanding exponentially. This article will offer a comprehensive look at the various regional markets, exploring how the UK fares in comparison to other major AI hubs. We’ll also suggest factors to consider when choosing where in the world to work, whether physically or remotely. By the end, you’ll have a clearer picture of the AI employment landscape, and you’ll be better prepared to carve out your own path.