Sr. Product Marketing Manager

Anaconda is seeking a talented Sr. Product Marketing Manager to join their rapidly-growing company. The role involves driving successful launch, promotion, and growth of Anaconda's products by conducting marketing research, executing go-to-market strategies, and applying it to the world of data science and machine learning. The ideal candidate should have experience in strategic and product-related roles, with a focus on launching SaaS B2C products. Strong writing skills, a strategic mindset, and the ability to collaborate cross-functionally are also required.

• Understand our products and information within target markets
• Position and launch our B2C products
• Collaborate with stakeholders across various functions, including product, marketing, and content
• Focus primarily on our practitioner offerings
• Conduct marketing research to understand our customers
• Execute go-to-market strategies
• Apply marketing strategies to the world of data science and machine learning
• Have 5+ years of experience in strategic and product-related roles
• Have experience launching SaaS B2C products, preferably open-source or data science related
• Possess strong writing skills
• Have a strategic mindset
• Understand the product life cycle
• Collaborate cross-functionally between several teams
• Have startup experience
• Embody the core values of ability, humility, innovation, action, empathy, and connection
• Care deeply about fostering an inclusive environment for people of all backgrounds and experiences
• Stand out by having experience with B2C SaaS product marketing, Python coding, data science, or working in an open-source or data science-oriented company

• 5+ years of experience in strategic and product-related roles
• Experience launching SaaS B2C products, preferably open-source or data science related
• Strong writing skills
• Strategic mindset
• Experience with the product life cycle
• Collaborating cross functionally between several teams
• Startup experience
• Team attitude: "I am not done, until WE are done"
• Ability & Humility
• Innovation & Action
• Empathy & Connection
• Care deeply about fostering an environment where people of all backgrounds and experiences can flourish
• Experience with B2C SaaS product marketing
• Python coding experience
• Data Science experience
• Experience working in an open source or data science-oriented company

• Full-time, exempt position
• Remote work opportunity
• Opportunity to shape the future of data science and machine learning
• Chance to work with a popular data science platform
• Ability to contribute to open-source projects
• Relaxed and focused work environment
• Emphasis on empathy and collaboration
• Part of a movement democratizing data science and promoting open-source technologies
• Opportunity to leverage experience in launching and promoting products
• Collaboration with stakeholders across various functions
• Preference for candidates with business-to-consumer (B2C) product launch experience
• Strong writing skills required
• Strategic mindset needed
• Experience with the product life cycle
• Collaboration between teams
• Startup experience preferred
• Embodying core values of ability, humility, innovation, action, empathy, and connection
• Commitment to fostering an inclusive environment
• Preference for candidates with B2C SaaS product marketing experience
• Python coding experience is a plus
• Data science experience is a plus
• Opportunity to work in an open-source or data science-oriented company
• Strong open-source adoption and user enthusiasm
• Rewards for high performers
• Cutting-edge work in enterprise application of data science, machine learning, and AI
• Collaborative team environment
• Employees-first culture
• Flexible working hours
• Comprehensive benefits package including medical, dental, vision, HSA, life insurance, and 401K
• Paid parental leave for both parents
• Pre-IPO stock options
• Open vacation policy and monthly company days off
• 100% remote and flexible working policy
• Equal opportunity employer
• Commitment to privacy and data protection