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Technical Product Marketing Manager

110k – 175kNew York, NYSan Francisco, CAProduct MarketingRemote3+ YOE
Summary

Develops technical messaging and go-to-market strategies for Anaconda's AI-native data science platform, translating infrastructure capabilities into value propositions for data scientists and AI builders. Requires 3-6+ years in product marketing or related technical roles with deep Python/AI expertise.

About the role

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.

Skills
PythonAI/MLcondaMLOpsDevOpsLLMopen sourceSDLCChatGPTClaude
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