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Senior Product Manager - Data Exploration

Permanent employee, Full-time · New York

About us
We enable smarter decisions by structuring the world’s data

LEVERTON develops state-of-the-art technology used by some of the largest corporations in the world. We apply deep learning technology to automatically extract and manage data from corporate documents in more than 25 languages. Our powerful algorithms turn unstructured data into actionable and insightful information, generating value for companies like SAP, Blackstone & Goldman Sachs.

Get a glimpse of our AI powered platform here
Through the lens of our Team
​​​​We are looking for our next Senior Product Manager who will lead a Squad focused on designing and building world-class SaaS software.


​​​​This position will take LEVERTON's data consumption interface to the next level – Develop the new Data exploration experience to enable and empower our customers in the new SaaS Platform. Our ability to effectively manage our customers needs is key to our ongoing success and allows the company to make bold bets while maintaining a delightful and painless user experience.


​​​​The role demands a deep background in product management, data analytics, experience in developing enterprise SaaS applications for multifaceted customer segments, the ability to operate in a highly technical environment, extensive leadership skills, strong knowledge in scalable product architecture and to work collaboratively across many internal and external stakeholders.
Your future achievements
  • Create your own fingerprint in a fast growing product department with your ideas, inputs and changes.
  • Be an influencer. You will own the short, medium and long term initiatives and execution for your product area.
  • Lead a cross-functional squad of world-class and highly motivated engineers, UX designers and QA Engineers.
  • Provide market analyses, business cases, and roadmaps based on corporate vision and product strategy.
  • Launch new products and applications on the LEVERTON AI Platform.
  • Enhance existing products and features.
  • Ensure product scalability and extensibility goals.
  • Formulate and measure product analytics to ensure ongoing product performance and optimization.
  • Be a mentor. Share your expertise and knowledge with other product managers to create an environment of transparency and continuous learning.
How we care for you
  • Be part of shaping the development of a state-of-the-art product in the field of Deep Learning and AI
  • Join an autonomous team with high degree of freedom and ownership
  • Enjoy a great, open working environment with highly talented, open-minded and dynamic people
  • Work in a company trusted by partners such as Goldman Sachs, Chanel, Bloomfield, SAP, Deutsche Bank, and Blackrock
  • We offer our employees great benefits including healthcare and dental plans
  • Our beautiful office in the heart of SoHo is a collegial, unique workspace with access to the best that the best city on the east coast has to offer
Your profile
  • 5+ years of experience with building SaaS enterprise products.
  • You’re curious! You’re not only effectively solving current customer problems but you also lead your product by thinking ahead to create an environment of innovation.
  • You have proven relevant experience in online product management (at least 5 years), having worked with B2B, Data Analytics, ERP, Data Warehouses or high scale products is a big plus.
  • Knowledge of web analytics tools and complex enterprise administration interfaces.
  • A history of working with cross-functional teams.
  • Ability to drive results and work collaboratively in a fast-paced environment where continuous innovation is desired.
  • Entrepreneurial spirit and willingness to roll up sleeves to get the job done.
  • Fluent in English
Contact info
Does this sound like the right place to develop your career?
    Then we’d love to hear from you!

Your application

Thank you for considering a career at LEVERTON. Please fill out the following form. In case you are experiencing problems with the document upload, mail your documents to hr@leverton.ai.

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