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Product Manager

Product Manager

DataVisorMountain View, CA, US
30+ days ago
Job type
  • Full-time
  • Quick Apply
Job description

About DataVisor

DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide a significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.

Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!

As a leader in the Fraud and AML risk decisioning space, DataVisor is pioneering innovative solutions to enable FI’s to fight fraud and financial crime. We are looking for a Product Manager with strong technical chops, design sensibilities and / or data integration experience to help guide the next chapter of growth for the DataVisor platform and solutions. This is an excellent career opportunity for an early career Product Manager. You will get to collaborate closely with highly experienced product leaders to hone your craft. In this role you will get to define, design and guide integrations with third-party systems including data providers, transaction processing systems and banking core systems. You will also design features and strategies for out-of-the-box solutions.

Responsibilities

  • Partner closely with other Product Mangers, engineering, delivery, marketing, GTM and support teams.
  • Work on the onboarding workflow and user experience with third-party integrations and out-of-the-box solutions. You will lead cross-team efforts to deliver top notch technical and functional artifacts like product documentation, training materials and best practices guides.
  • Engage with third-party providers, evaluate their offerings and conduct research and user studies to build and own a product roadmap. You will explore new ideas and push the boundaries of what is possible to drive monetization opportunities across different market segments.
  • Take a hands-on approach to ensure product development stays on track, removing obstacles and addressing issues as they arise.

Requirements

DataVisor values diverse experiences from different industries, and we encourage everyone who meets the required qualifications to apply. If you're early in your career or if you haven’t followed a traditional path into Product Management, don't let that stop you from considering DataVisor. We are always looking for people who will bring something new to the table!

Product Management Experience : 3+ years of product management and / or experience managing complex technical products preferably in developing data platforms, platform software or development tools.

Fraud / AML or Banking Core Integration Experience : Experience in fraud / AML, with a deep understanding of industry landscapes and key providers is highly valued. 2+ years of experience in integration with banking cores.

ETL, Data Pipelines or related Technical Integration Experience : Experience in building or integration ETL and / or data pipelines. Any experience in data checking, SQL, database operations, SFTP, real-time REST API’s is also valuable..

Agile Methodologies : Familiarity with agile software development frameworks (e.g., Scrum) and real-world experience in fast-paced environments.

Machine Learning & Big Data Knowledge is a Plus : Practical experience with machine learning, big data, cloud services, and SaaS-based systems.

Startup Mindset : Comfortable thriving in a dynamic, fast-paced startup setting.

Bachelor degree : Computer Science or related area.

Benefits

  • Compensation : Annual salary range of USD $120,000 – $170,000, commensurate with experience.
  • Stock option, bonus, health benefit, 401K
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