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Role description

Technical Product Marketing Manager

Anaconda logoAnaconda
AI-native
WorkplaceRemote
SenioritySenior
Salary$109,500–$175,000
LocationUnited States
Posted8/20/2026
Product Marketing

Who you are

  • 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
  • Regularly leverage AI tools to accelerate messaging & persona development, campaign analysis, and competitive intelligence
  • Growth mindset with experience leveraging AI tools, cross-functional collaboration, and startup environments
  • You embody our values of Clarity, Care and Candor
  • You care deeply about fostering an environment where people of all backgrounds and experiences can flourish
  • 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

What the job involves

  • Anaconda is seeking a talented Technical 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, artificial intelligence, and machine learning
  • 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 that addresses the most critical workflow blockers for both data scientists and AI builders—complex dependency management across Python and AI stacks, inconsistent and non-reproducible environments from local to shared and production contexts, and inefficient compute and memory utilization that constrains experimentation, scaling, and iteration speed
  • 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 that eliminates setup friction for data scientists, enabling them to focus on insights rather than infrastructure battles. Create specialized value propositions for regulated industries (financial services, healthcare, manufacturing) that emphasize security scanning, compliance management, and trusted package provenance—transforming open source governance from a barrier into a competitive advantage for enterprise AI initiatives
  • Create compelling narratives around Anaconda’s AI transformation: Craft messaging that captures how Anaconda enables data science practitioners to capitalize on AI-driven opportunities by providing reliable, optimized Python environments that scale from experimentation to production
  • 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
  • Leverage Python and AI/ML development expertise to ensure technical accuracy in all messaging and content, speaking authentically to practitioner audiences across traditional ML, LLM/agent workflows, and emerging AI development patterns with credible technical depth
  • Establish continuous feedback loops with data scientists, ML engineers, and AI practitioners through beta programs, user interviews, and community engagement to inform product direction and refine messaging based on real-world usage patterns across the full AI/ML development lifecycle
  • Partner with technical teams across the organization to communicate feature launches with appropriate technical depth and practitioner-focused value propositions that resonate with needs spanning experimentation, model deployment, MLOps, and AI governance requirements
  • 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, and evolving
  • Champion open source community best practices across all marketing initiatives, ensuring authentic engagement with maintainers, contributors, and the broader OSS movement
  • Build educational content that serves the open source community—technical documentation, case studies, community spotlights, and thought leadership—while demonstrating commercial value, including serving as a core contributor to Anaconda quickstart environments by defining key requirements and directly supporting their development
  • Collaborate with DevRel and Community teams to craft ecosystem storytelling that resonates with OSS-first audiences and commercial buyers alike
  • Represent Anaconda at AI development conferences, open source events, and developer forums, establishing thought leadership within the community
  • AI ecosystem trends to guide strategic positioning and product messaging decisions
  • Synthesize insights from customer research, competitive analysis, and market data to continuously refine messaging and inform product strategy
  • Leverage AI-assisted research and synthesis tools to accelerate competitive intelligence gathering, persona development, and campaign analysis, bringing practitioner-level familiarity to the tools your audience uses daily
  • 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, ensuring product and marketing decisions reflect real developer needs
  • Execute integrated marketing campaigns that drive awareness and adoption across both community and enterprise segments

The application process

  • The application deadline for this role is 08/28/2026; applicants will be reviewed on an ongoing basis until the role is filled

Benefits

  • When it comes to pay increases, there isn’t red tape like your average corporate organization. We don’t have a max cap, and we pay our salary increases based on the industry benchmarks of the specific role in the job market
  • We ensure salary transparency for each employee. We show you the benchmarks in the industry for your title, where you live, and how your salary stacks comparative to other jobs with the same title
  • Spot bonuses based on great outcomes
  • Medical, dental, vision, HSA, life insurance, and 401(K)* (based on country)
  • Competitive stock options
  • Open vacation policy
  • Paid parental leave for both moms and dads
  • Anaconda Snake Days; In addition to government holidays, a once-a-month company-designated day off to relax and recharge
  • 100% flexible working policy. While we have core business hours, we focus on results, not when you’re at your desk
  • Quarterly fitness membership or home office reimbursement
  • Low-meeting Fridays
  • Monthly anonymous “Ask Me Anything” sessions with senior leadership
  • Employee recognition known as the annual Ana-CAN-DO awards
  • An open-door policy and senior leadership office hours - transparency comes first, and all ideas matter
  • Annual Anaconda Olympics
  • Homecoming (bringing everyone together (safely))!
  • Weekly team happy hours
  • Lunch & learn trainings
  • Virtual and in-person team offsites

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Company info

Anaconda logo

Anaconda

With more than 45 million users and 250,000 organizations using the platform, Anaconda is the world’s most popular data science platform and the foundation of modern AI development. The Company pioneered the use of Python for data science, championed its vibrant community, and continues to steward open-source projects that make tomorrow’s AI innovations possible. Our enterprise-grade and workstation solutions enable corporate, research, and academic institutions around the world to harness the power of open-source for competitive advantage, groundbreaking research, and a better world.

Private companySeries CAI-product
Founded2012
HQAustin, United States
Unlock human wisdom
ThesisTermsPrivacy
Size
201–500 employees
IndustrySoftware Development
Funding
  • Series C · $150M · Jul 31, 2025
  • Funding round · $2.6M · Sep 21, 2021
  • Series C · $2.6M · May 1, 2021
Investors
General CatalystInsight PartnersBuildGroupSilicon Valley Bank
Tech stacktranscend, amazon-sqs, numba, power-bi, ml-flow, workato, user-interviews, pyqt, tableau, amazon-ecs
News
  • Anaconda Joins Open Secure AI Alliance to Help Establish Industry Standard for Secure AI-Native Development

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