Technical Product & Content Marketing Lead

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Technical Product & Content Marketing Lead based in the United States.

This is a high-impact product marketing role at the intersection of AI, data, technology, and compelling storytelling.
You will shape how sophisticated products and technical research are understood by customers, partners, and the broader market.
The role combines product positioning, technical content, go-to-market strategy, thought leadership, and launch execution.
You will translate complex AI and real-world data challenges into clear narratives that resonate with technical and commercial audiences.
Working closely with Product, Sales, DataLab, Community, and business leaders, you will connect product capabilities with customer needs and market opportunity.
The environment is lean, fast-moving, and highly autonomous, offering significant ownership and the opportunity to build foundational marketing systems from scratch.
Success will mean creating a differentiated market narrative and the content, campaigns, and commercial tools needed to bring it to life.

Accountabilities:

• Shape product positioning and messaging: Translate product developments across multiple verticals into clear, compelling public-facing positioning, narratives, content, and marketing collateral.
• Simplify complex technical concepts: Turn sophisticated topics such as AI training data, machine learning workflows, model performance, and real-world data challenges into accessible messaging for technical buyers and broader audiences.
• Lead product and content launches: Own end-to-end launch campaigns for product, DataLab, vertical, and commercial releases, from initial strategy and narrative development through execution and distribution.
• Develop technical thought leadership: Create high-quality written and multimedia content that advances the conversation around real-world data and its role in AI development.
• Build product marketing strategy: Develop the product marketing vision and strategy that positions the platform as a foundational real-world data solution across the AI model development lifecycle.
• Create go-to-market assets: Develop sales and marketing materials including presentations, webinars, videos, social content, one-pagers, case studies, landing pages, talk tracks, and launch collateral.
• Enable commercial teams: Partner closely with Sales to understand customer needs, support strategic opportunities, and create tailored narratives that strengthen commercial conversations.
• Drive community engagement: Collaborate with Community leadership to develop content and assets that support events, programs, and ongoing audience engagement.
• Connect teams around a unified narrative: Work cross-functionally with Product, DataLab, vertical leaders, Sales, Commercial, and Delivery teams to ensure external messaging accurately reflects the product and reinforces market differentiation.
• Own content distribution: Identify and activate the appropriate growth and communication channels to ensure strong content reaches the audiences it is designed to influence.
• Identify and close narrative gaps: Assess existing messaging, content, and collateral, identify opportunities for improvement, and build the foundational materials required to strengthen the overall market story.
• Build from first principles: Establish repeatable product marketing and content processes in an evolving environment where established playbooks may not yet exist.

Requirements

• Exceptional writing: Outstanding writing ability with strong editorial judgment and the capacity to turn complex ideas into clear, persuasive narratives.
• Technical communication: Demonstrated ability to explain sophisticated technical concepts—including AI data, ML pipelines, model performance, and real-world data workflows—to technical buyers and B2B audiences.
• Content versatility: Experience developing narratives across multiple formats and channels, including written content, visual media, podcasts, live experiences, and other campaign formats.
• Launch leadership: Proven experience managing end-to-end product, vertical, or content-led launches with cross-functional teams, from early positioning through external execution.
• Sales partnership: Experience working closely with sales teams on strategic opportunities, developing a deep understanding of customer needs, and shaping messaging that advances commercial conversations.
• B2B content expertise: Track record of producing compelling technical content such as product launches, technical explainers, case studies, thought leadership, and related materials.
• Strategic and hands-on mindset: Ability to develop high-level marketing strategy while personally executing the decks, messaging, case studies, campaigns, and other assets required to bring that strategy to life.
• Startup adaptability: Comfortable operating in ambiguous, rapidly changing environments, shipping strong first versions quickly, incorporating feedback, and creating new approaches when established processes are unavailable.
• Ownership: Highly proactive and hands-on, with the ability to take responsibility for outcomes rather than waiting for direction or relying on others to execute.
• Distribution expertise: Understanding of how to use relevant growth and marketing channels to actively distribute content and reach target audiences.
• AI and data knowledge: Experience with AI/ML products, data platforms, foundation models, AI training, or machine learning workflows is highly desirable.
• Technical background: Experience as an engineer, solutions engineer, data scientist, or in another technical discipline is a plus.
• Scale and complexity: Experience managing multiple verticals or product lines simultaneously is beneficial.
• Collaboration and communication: Strong interpersonal skills, sound judgment, intellectual curiosity, and the ability to work effectively with technical, commercial, and executive stakeholders.

Benefits

• Competitive compensation: Compensation details are determined based on the scope of the role, experience, and relevant qualifications.
• High-impact opportunity: Help shape the market narrative for an emerging category at the intersection of AI, real-world data, and technology.
• Significant ownership: Take responsibility for foundational product marketing, content, positioning, and go-to-market initiatives in a lean environment.
• Cross-functional exposure: Work directly with Product, Sales, DataLab, Community, and business leaders.
• Build-from-scratch environment: Create new marketing systems, narratives, campaigns, and processes rather than simply maintaining an established playbook.
• Mission-driven work: Contribute to solving a major challenge in AI by helping make high-quality training data more accessible, discoverable, and usable.
• Fast-paced culture: Join a high-trust environment that values ownership, urgency, experimentation, continuous learning, thoughtful communication, and strong execution.
• Professional growth: Develop expertise across AI, data infrastructure, product marketing, technical storytelling, and emerging technology markets.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.