Role: Senior Product Marketing Manager

Reports to: Director of Product

Department: Nucleus 

Location: Remote, US  

Job Type: Full Time, Exempt

 

Help us Shape the Future of Data

Anaconda is the world’s most popular data science platform. With more than 26 million users, the open source Anaconda Distribution is the easiest way to do data science and machine learning. We pioneered the use of Python for data science, champion its vibrant community, and continue to steward open-source projects that make tomorrow’s innovations possible. Our enterprise-grade solutions enable corporate, research, and academic institutions around the world to harness the power of open source for competitive advantage and groundbreaking research.

 

Anaconda is seeking people who want to play a role in shaping the future of enterprise machine learning, and data science. Candidates should be knowledgeable and capable, but always eager to learn more and to teach others. Overall, we strive to create a culture of ability and humility and an environment that is both relaxed and focused. We stress empathy and collaboration with our customers, open-source users, and each other. 

 

Here is why people love most about working here: We’re not just a company, we’re part of a movement. Our dedicated employees and user community are democratizing data science and creating and promoting open-source technologies for a better world, and our commercial offerings make it possible for enterprise users to leverage the most innovative output from open source in a secure, governed way.



Summary

Anaconda is seeking a talented Product Marketing Manager  to join our rapidly-growing company. This is an excellent opportunity for you to leverage your experience and skills and apply it to the world of data science and machine learning.

 

What You’ll Do:

  • Understand our products and information within target markets 
  • Position and launch our products within industry markets
  • Provide collateral and enablement to internal and external teams (customer & sales team)
  • Interview customers and being able to decipher data points and analytics 

 

What You Need:

  • Strategic mindset, capable of understanding and managing the vision 
  • Capable of contributing to strategy and decision making
  • Experience with product lifecycle: launching products in prior positions, understands process to get there and can manage the launch 
  • Collaborate with product management and marketing to develop product messaging that resonates with our target personas
  • Understand and support our sales and customer success teams; train them on the problems we solve for our buyers and users; develop internal tools and external collateral and teach them how and when to use it
  • Experience with building personas and understanding the customer journey
  • Understand the competitive landscape—be an expert on our competition and how they are positioned
  • Cross-functionally collaborate and partner with Marketing team 
  • Act as the primary thought leader for the products you support externally, including speaking engagements and written works.
  • Challenge concepts and knows how to work well with engineering teams 
  • Startup Mentality (collaborative, innovative, role ownership, fast pace) 
  • Embody our core values:  
    • Ability & Humility
    • Innovation & Action
    • Empathy & Connection
  • Care deeply about fostering an environment where people of all backgrounds and experiences can flourish 



What Will Make You Stand Out:

  • Experience working in a fast-paced startup environment
  • Experience working in a open source or data science-oriented company
  • Open to tools to use for analytics (currently using Google Analytics & VWO) 
  • Comfortable with lack of processes and role structure
  • Startup Mentality 



Why You’ll Like Working Here:

  • Unique opportunity to translate strong open source adoption and user enthusiasm into commercial product growth
  • Dynamic company that rewards high performers
  • On the cutting edge of enterprise application of data science, machine learning and AI
  • Collaborative team environment that values multiple perspectives and clear thinking
  • Employees-first culture
  • Flexible working hours
  • Medical, Dental, Vision, HSA, Life and 401K
  • Health and Remote working reimbursement 
  • Paid parental leave - both mothers and fathers
  • Pre-IPO stock options
  • Open vacation policy

 

An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

 

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