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Senior Product Manager - Remote

Posted 10 weeks ago
Product
Full Time
Worldwide

Overview

Invert is on a mission to reduce the cost of using biology to manufacture various products. The team is diverse and values collaboration in a remote-first environment.

In Short

  • Join the Product team to drive the evolution of data management and analytics products.
  • Define product vision and roadmap.
  • Prioritize features based on customer needs and market demand.
  • Monitor product performance using analytics.
  • Stay updated on competitors and market trends.
  • Engage with customers to understand their workflows and needs.
  • Improve data quality and provide tools for data assessment.
  • Work with engineering to enhance data processing.
  • Be data-savvy and tech-savvy.
  • Adapt to a fast-paced environment.

Requirements

  • Proven track record in delivering impact.
  • Experience in data management and analytics workflows.
  • Knowledge of user experience best practices.
  • Strong communication skills.
  • Ability to navigate rapidly-changing environments.
  • Ambitious and intrinsically motivated.

Benefits

  • High-growth startup with impactful work.
  • Fully remote work across US and European timezones.
  • Competitive salary, equity, and benefits.
  • New laptop and accessories of your choice.
  • Frequent team offsites.
  • Unlimited PTO.
Invert logo

Invert

Invert is a forward-thinking company dedicated to revolutionizing the use of biology in manufacturing across various industries. With a mission to significantly lower the costs and time associated with bioprocessing, Invert empowers its customers to develop new therapies, create sustainable biomaterials, and produce essential chemicals in an environmentally friendly manner. The company boasts a diverse team of skilled engineers, data scientists, and biologists, all working collaboratively in a remote-first environment. Invert is committed to innovation and excellence, providing tools that automate the design, execution, and analysis of bioprocessing, ultimately driving the evolution of data management and analytics in the life sciences sector.

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