At RavenPack, we are at the forefront of developing the next generation of generative AI tools for the finance industry and beyond. With 20 years of experience as a leading big data analytics provider for financial services, we empower our clients—including some of the world's most successful hedge funds, banks, and asset managers—to enhance returns, reduce risk, and increase efficiency by integrating public information into their models and workflows. Building on this expertise, we are now launching a new suite of GenAI and SaaS services, designed specifically for financial professionals.
Join a Company that is Powering the Future of Finance with AI
RavenPack has been recognized as the Best Alternative Data Provider by WatersTechnology and has been included in this year’s Top 100 Next Unicorns by Viva Technology. You will be working on Bigdata.com, a next-generation platform aimed at transforming financial decision-making.
About the roleBigdata.com is an AI-powered financial research assistant that helps users quickly find the insights they need to make informed decisions. As a Product Manager at Bigdata.com, you will play a pivotal role in shaping the future of this cutting-edge platform.
As a Product Manager at Bigdata.com, you will own a product roadmap and lead the development of an aspect of the platform. Collaborating cross-functionally with engineering, design, and operations teams, you will turn user needs into reality, ensuring the platform evolves to meet the changing demands of our clients.
If you're passionate about working on cutting-edge AI solutions and empowering users with data-driven insights, we encourage you to apply for this exciting opportunity at Bigdata.com.
As a Product Manager at RavenPack, you will take on a key role in the team and you will interact with various departments on a daily basis including operations, engineering, QA, design teams, and internal stakeholders.
What you Need to SucceedExcellent written and verbal communication skills
+5 years of professional product management experience
Experience working on Machine Learning projects from inception to scale
Hands-on experience in software development and web technologies
Strong working knowledge of Agile methodologies including Scrum
Strong analytical, planning and organizational skills with the ability to manage competing demands
Strong understanding of search architectures, information retrieval, and learning to rank concepts
Comfort with quickly changing priorities and a high level of adaptability and flexibility
Knowledge of UI/UX principles
Ability to clearly document findings and summarize discussions
Excellent organizational and follow-up skills
The ability to communicate effectively in English both in writing and verbally is a must. Knowledge of Spanish is not a business requirement.
Managing and participating in Agile/Scrum ceremonies
Assisting in cross-functional scheduling and communication with development, design, operations, business development
Ensuring that all workflows, processes, changes, data manipulations, etc. are effectively documented and shared
Researching and advising Product Management with trends in the competitive landscape
Preparing presentations for Management on product improvements and performance including achievements, optimizations, and roadblocks
Performing continuous Quality Assurance on the product’s infrastructure and user experience
International Culture: With its headquarters in Marbella, Spain, and presence in New York and London, RavenPack takes pride in being a truly diverse global organization.
Competitive Salary: In RavenPack, we believe that your time and experience needs to be fairly rewarded.
Continuous learning: We provide the support needed to grow within the team.
Innovation: Innovation is the key to our success, so we encourage you to speak up and tell us about your vision.
Hybrid work arrangement
Shuttle bus: From Malaga, Fuengirola, La Riviera, and Estepona is available for free from the company.
Diversity is in our DNA! You will work in an international environment (over 29 nationalities and 24 languages spoken!)
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