At a Glance
- Tasks: Lead the data and AI strategy, shaping innovative solutions for frontline workers.
- Company: Join a mission-driven tech company empowering deskless workers globally.
- Benefits: Fully remote role with competitive salary and opportunities for growth.
- Other info: Collaborate with a diverse, global team and embrace a culture of honesty and hustle.
- Why this job: Make a real impact by driving AI solutions that enhance productivity.
- Qualifications: Strong B2B experience and proficiency in Scrum and Jira required.
The predicted salary is between 75600 - 92400 £ per year.
Who we are 80% of the workers across the globe are Deskless.
These are the people who keep our lights on and gas flowing, build roads and bridges, run our manufacturing factories, ensure that we get healthcare service, and provide us with reliable phone and internet connectivity.
Zinier is a company on a mission to empower frontline workers — and the people supporting them — to achieve greater things for themselves and the world around them.
With the majority of workers worldwide being deskless, Zinier recognizes the need for Technology Equity to improve the lives and productivity of these workers who keep the world up and running.
We are a remote-first, global team headquartered in Silicon Valley, with a hybrid workforce across the United States, Canada, Europe, Latin America, Singapore, and Bangalore, India, backed by leading investors including Accel, ICONIQ Capital, Founders Fund, Newfund Capital, NGP Capital, Tiger Global Management, and Qualcomm Ventures LLC.
What we are looking for Zinier is searching for a deeply technical, execution-obsessed Product Lead to shape our data and AI strategy.
You'll own the roadmap for how Zinier captures, structures, and activates data to power agentic, AI-driven field service products and you'll be equally comfortable writing epics and stories with engineering as you are challenging architecture decisions on data pipelines and LLM interfaces.
This is a hands-on, technical PM role.
You'll define what data is needed and translate it into clear requirements for the teams building our solutions, own the lifecycle of data and AI initiatives from intent recognition through execution, and partner across Platform, Data Platform, Product Engineering, Design, Security, and Legal to build a scalable, compliant, and highly intuitive solutions.
- What the role offers
- Shape the data & AI strategy: Define and execute the roadmap and plan, execute, self-correct, and learn.
- Treat data as the fuel: Define what data is needed and translate that into clear requirements for the teams building the solutions.
- Own projects end to end: Define, execute, measure, and iterate and owning the full lifecycle from initial intent recognition and planning frameworks through execution and coordination.
- Lead cross-functionally: Partner with cross functional teams like Platform , Data Platform, Product Engineering, Product Designers, Security, and Legal to build a scalable, compliant, and highly intuitive solutions.
- Write epics and stories: Translate strategy into engineering-ready epics and stories, working in Scrum with clear acceptance criteria.
- Define and own data products: Set up and define data products, including data warehouse and data lake requirements.
- Drive analytics maturity: Define how usage and outcomes are captured and analyzed, including analytics for LLM/agent interfaces.
- What you'll bring to the role
- Must-have: Strong B2B experience.
- Proficiency in Scrum and Jira, with hands-on experience writing epics and stories.
- Proficient in English.
- Technical fluency and able to credibly challenge engineering teams on architecture, data models, and trade-offs.
- You have built or maintained data products.
- Strongly preferred: Experience building AI-driven products.
- Understanding of analytics: how it's captured, and how to capture and analyze it, including LLM interfaces.
- Direct experience working with AI and Claude specifically, including having built agents.
- Experience setting up and defining data products (data warehouse, data lake).
- Scrum of Scrums experience.
- Experience working as part of a globally distributed team of Product Leads.
- Be Hungry.
- Be Humble.
- Be Honest.
- And Hustle.
- Shape the data.
- Power the agents.
- Own the strategy.
- #LI-Remote
- #J-18808-Ljbffr
Product Lead, Data & AI (Fully remote - UK, Spain, Portugal) in London employer: Doist
Brink's is an exceptional employer that fosters a collaborative and innovative work culture, empowering employees to drive global commercial strategies in the ATM lifecycle solutions sector. With a strong focus on professional development and growth opportunities, employees are encouraged to expand their skills while contributing to sustainable growth and operational excellence. Located in a dynamic environment, Brink's offers unique advantages such as a diverse team and the chance to build long-term partnerships with global customers, making it a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Product Lead, Data & AI (Fully remote - UK, Spain, Portugal) in London
✨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 Doist!
✨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 Product Lead, Data & AI (Fully remote - UK, Spain, Portugal) at Doist.
✨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 Doist.
✨Apply Directly through Our Website
When you find a suitable opening like Product Lead, Data & AI (Fully remote - UK, Spain, Portugal) at Doist, 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 Product Lead, Data & AI (Fully remote - UK, Spain, Portugal) in London
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 Doist, 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 Doist. 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 Doist
✨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 Doist!
✨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.
