Senior Technical Product Marketing Manager

Навыки

• AI-инструменты в работе
• AWS
• Azure
• B2B-продажи
• Решения на данных
• Google Cloud
• Google Tag Manager

О компании и продукте

• MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.
• With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
• Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
• To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy , we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB , and help us make an impact on the world!

Задачи

• Drive Strategy & Execution: Act as a strategic partner for high-impact initiatives that align with MongoDB’s long-term business goals in collaboration with Marketing, Developer Relations, Product Management, Engineering, Partners, and Sales
• Drive GTM Excellence: Enable teams with data-driven positioning, messaging, and persona development
• You will advise teams on the best tactics to influence diverse audiences
• Build Technical Content: Create compelling technical content that educates audiences on how and why Search and Vector Search enable advanced information retrieval as part of AI application and agentic system building
• Dive Deep Into Data: Serve as a subject matter expert on search and retrieval, shifting application development patterns, and how embedding and reranking models fit into the AI stack by gathering data from diverse sources and synthesizing it for internal and external audiences
• Execute Product Launches: Develop and execute cross-functional launch strategies for new Search and Vector Search functionality and capabilities that grow adoption and revenue
• We’re Excited About You Because
• High-bar communication (both verbal and written), capable of influencing the priorities of cross-functional teams and senior leaders
• You should be excited to deliver your perspectives and progress to leadership
• Genuine empathy for customer challenges and pain points, with the ability to understand the common use cases and implementation specifics that customers are facing
• A strong bias for action and the ability to decompose problems into effective solutions and drive execution cross-functionally
• A low ego-to-talent ratio and ability to effectively represent the company as a subject matter expert in executive-level customer calls, analyst briefings, and public appearances

Требования

• Proven experience with 5-8 years in product marketing, product management, developer relations, or solutions engineering, preferably in B2B technology, AI/ML, cloud, and/or enterprise software, with a strong track record of success
• A demonstrated ability to thrive in a fast-paced, high-growth environment, where you are trusted to help develop and execute strategies to meet business objectives
• Proven ability to bring strong, data-driven judgment to day-to-day work
• Deep understanding of the fundamentals of technology (ideally databases, cloud infrastructure, the developer landscape, and how they are connected to embedding models and generative AI) and the ability to effectively connect a product area to its business impact

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