At a Glance
- Tasks: Drive innovation in logistics by defining product strategy and collaborating with cross-functional teams.
- Company: Join Bringg, a leading AI-powered SaaS platform transforming last-mile delivery.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Other info: Work in a dynamic, distributed team across multiple time zones.
- Why this job: Make a real impact on global delivery operations for top brands.
- Qualifications: 3+ years as a Product Manager in B2B, with strong data architecture skills.
The predicted salary is between 60000 - 80000 £ per year.
Bringg , we’re on a mission to transform last-mile delivery into a powerful driver of growth, loyalty, and operational excellence.
As an AI-powered Saa S platform, we enable retailers and logistics providers to orchestrate smarter, more efficient delivery operations across every fleet type and service level—from same-day to scheduled delivery.
We are a multinational company serving leading enterprise and Fortune 500 brands, helping some of the world’s most complex delivery organizations streamline operations, enhance customer experiences, and stay ahead in a rapidly evolving market.
- We're hiring a
- Data
Product Manager to drive innovation in our logistics platform, lead cross-functional product development, and deliver solutions with real-world impact.
What will you do?
- Define product strategy for Bringg’s data and platform modules, and translate that strategy into well-defined product requirements including features, user stories, and acceptance test criteria.
- Work with cross-functional teams and various stakeholders, including go-to-market, customer success, engineering, analytics, and design/user experience.
- Key collaborators will be the other Product Managers, as well as the engineering leader for AI and Data.
- Prioritizes and maintains the sprint backlog for assigned products, balancing the requirements of stakeholders.
- Works in an Agile environment and continuously reviews the business needs, refines priorities, outlines milestones and deliverables, and identifies opportunities and risks.
- Leads the product functional design process based on an intimate knowledge of the users and technology.
- Defines and executes go-to-market plan, working to ensure that product management, marketing, and sales have what they need to be successful.
What will you need?
- At least 3 years of experience as a Product Manager in a B2B industry environment and a passion to solve problems
- Experience with data architecture and data model design
- Deep technical abilities and detail-oriented, able to communicate with developers easily
- Ability to make clear decisions and prioritize, balancing data and intuition in an environment with imperfect information.
- Excellent collaboration and ability to communicate well across functions from engineering about technical requirements, all the way to communicating with marketing on problems and value.
- Ability to work well across time zones. Bringg is a distributed company, with go-to-market teams in North America and development teams in Eastern Europe and Israel.
- Quick and self-learner, knowledge-and-logic-driven with exceptional communication and presentation skills
- Why Bringg
At Bringg, your work runs infrastructure that the world's largest retailers depend on.
The product is complex, the customers are demanding, and the stakes are real.
The people here are self-directed, curious, and show up when it matters.
You won't get a full map - but you won't be alone figuring it out.
Data Product Manager employer: Bringg
Bringg is an exceptional employer that fosters a dynamic work culture where innovation meets collaboration. With a strong focus on employee growth, we provide ample opportunities for professional development in the fast-evolving field of AI-driven logistics. Located in a vibrant area, our team enjoys a supportive environment that encourages creativity and impactful decision-making, making every day at Bringg a chance to shape the future of delivery logistics.
StudySmarter Expert Advice🤫
We think this is how you could land Data Product Manager
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Bringg!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Product Manager at Bringg.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Bringg.
✨Apply Directly through Our Website
When you find a suitable opening like Data Product Manager at Bringg, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Product Manager
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Bringg, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Bringg. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Bringg
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Bringg!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
