At a Glance
- Tasks: Lead product strategy for threat intelligence analytics and manage data pipelines.
- Company: Join Recorded Future, a leader in threat intelligence solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with a focus on innovation and customer value.
- Why this job: Make a global impact by enhancing data capabilities in cybersecurity.
- Qualifications: Experience in product management and strong collaboration skills with tech teams.
The predicted salary is between 63000 - 77000 £ per year.
Recorded Future is seeking an experienced Product Manager to lead the Threat Intelligence Analytics domain.
You will own the product strategy for intelligence data pipelines and analytics, collaborating across backend teams to ensure scalable, high-quality data that powers our intelligence platform.
You’ll coordinate with data scientists, ML engineers, and threat intel leadership to deliver impactful data capabilities and measurable value for customers worldwide.
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Senior Threat Intelligence Data Platform PM employer: Recorded Future
Recorded Future is an exceptional employer located in the vibrant city of London, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from comprehensive growth opportunities, including professional development and mentorship, while contributing to cutting-edge cybersecurity solutions that make a real impact. With a focus on scalable data systems and a commitment to data quality, joining Recorded Future means being part of a forward-thinking team dedicated to excellence in threat intelligence analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Threat Intelligence Data Platform PM
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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 Recorded Future!
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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 Recorded Future.
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We think you need these skills to ace Senior Threat Intelligence Data Platform PM
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 Recorded Future, 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 Recorded Future. 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 Recorded Future
✨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 Recorded Future!
✨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.
