What You'll Do
Core Product Marketing Responsibilities
- Translate AI native development infrastructure pain points into competitive advantages: Transform Anaconda's core distribution capabilities (conda, channels, packaging, models) and native AI developer tooling into compelling messaging
- Own persona-driven value propositions for the data science expansion opportunity: Develop differentiated messaging frameworks that position Anaconda as the foundational AI-native development platform
- Create compelling narratives around Anaconda's AI transformation
- Develop and execute comprehensive go-to-market strategies including launch planning, market positioning, and post-launch growth initiatives in partnership with Product Management and Engineering
Serve as the expert on data science practitioners and developers
- Leverage Python and AI/ML development expertise to ensure technical accuracy in all messaging and content
- Establish continuous feedback loops with data scientists, ML engineers, and AI practitioners through beta programs, user interviews, and community engagement
- Partner with technical teams across the organization to communicate feature launches
- Become the internal authority on end-to-end AI/ML workflows, including traditional data science pipelines, LLM/agent development patterns, model deployment challenges, MLOps toolchains, competitive OSS alternatives
Open Source Community Leadership
- Champion open source community best practices across all marketing initiatives
- Build educational content that serves the open source community—technical documentation, case studies, community spotlights, and thought leadership
- Collaborate with DevRel and Community teams to craft ecosystem storytelling
- Represent Anaconda at AI development conferences, open source events, and developer forums
Market Intelligence & Sales Enablement
- Synthesize insights from customer research, competitive analysis, and market data to continuously refine messaging and inform product strategy
- Develop sales enablement materials that effectively position both open source adoption paths and commercial upgrade opportunities
- Champion customer personas and use case requirements across internal teams
- Execute integrated marketing campaigns that drive awareness and adoption
What You Need
- 3-6+ years in product marketing, developer advocacy, product management, or software engineering (with interest in pivoting to product marketing)
- Experience launching or working with open-source or developer tools, or AI products with both community adoption and commercial monetization strategies
- Strong grasp of software distribution, SDLC, DevOps practices, and AI/ML concepts
- Deep understanding of open source community culture and experience working within OSS-first organizations that have developed commercial offerings
- Exceptional technical writing skills and ability to authentically engage developer communities while advancing business objectives
- Growth mindset with experience leveraging AI tools, cross-functional collaboration, and startup environments
What Will Make You Stand Out
- Python and/or SFDC lifecycle proficiency with deep understanding of development workflows, packaging, and ecosystem dynamics
- Comfortable with ambiguity and rapid iteration in dynamic environments
- Ability to balance strategic thinking with hands-on tactical execution
- Proficiency in leveraging gen-AI tools for workflow efficiency (ChatGPT, Claude, others)
- Experience working in a fast-paced startup environment
- Experience working in an open-source, AI, or data science-oriented company
Compensation
Base salary range: $146,000-$175,000 for New York City and San Francisco; $109,500-$161,000 for other US-based team members, plus annual bonus, equity, and benefits.
AnacondaNew York, NY
