Technical Product Marketing Manager

Summary:

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. 

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 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

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, 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 

Open Source Community Leadership:

• 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

Market Intelligence & Sales Enablement:

• 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

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
• 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

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

Why You'll Like Working Here:

• You'll thrive in a high-performance environment where results are recognized and rewarded
• Your work directly contributes to shaping the future of data science, machine learning, and AI in the enterprise.
• You'll work alongside a collaborative team that values diverse, thoughtful discussion, clarity and candor.
• You'll be supported by a culture that puts employees first - with flexible hours, a fully remote setup, and a genuine commitment to your wellbeing and growth.

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

The base salary range for this role is $146,000- $175,000 for candidates in New York City and San Francisco, and $109,500 - $161,000 for other US-based team members, along with annual bonus potential, equity participation, and benefits.

Our salary ranges are determined by role, level, and location. Within the range, individual compensation is determined by various factors, including work location, job-related skills, experience, and relevant education or training. Your recruiter will provide more specific details on the salary range for your preferred location during the hiring process.

In addition to base salary, we offer a comprehensive benefits package that includes:

• Flexible Vacation Policy
• Medical, Dental, and Vision Insurance
• Short Term and Long Term Disability
• Paid Parental Leave
• Monthly Wellness Stipend
• Employee Assistance Program and Mental Health Resources

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.

Anaconda, Inc. (“We”, “Us”) are committed to protecting and respecting your privacy. This Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to Us, will be processed by Us in connection with Our recruitment processes.

By clicking “Submit Application”, you acknowledge you have read our Privacy Policy and that Anaconda can retain your application data for up to 1-year, unless otherwise stated. For the purpose of the General Data Protection Regulation (“GDPR”) ”) and the version of the GDPR retained in UK law (the “UK GDPR”) the Data Controller is Vanessa Macilwaine.

Anaconda is an EEO/AA employer M/F/V/D.