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YugabyteDB
Product Sales Specialist
Job Description
Product Sales Specialist YugabyteDB Sunnyvale, CA Job Details 8 hours ago Benefits Health insurance Unlimited paid time off Retirement plan Qualifications Stakeholder engagement Collaboration with product development teams Sales performance monitoring (sales process improvement strategies) Forecasting Data analytics Cross-functional communication Full Job Description Yugabyte is the company behind YugabyteDB , the AI-ready, multi-modal, distributed PostgreSQL database for cloud-native apps. Trusted by industry leaders including Shopify, Paramount+, GM, Kroger, Fiserv, and NPCI, YugabyteDB has been deployed in over 100 countries and powers more than 5 million clusters worldwide. Together, our hard-working team of experts and our industry-leading technology are uniquely positioned to meet the demands of modern workloads: geo-distributed, ultra-resilient, and built to scale without limits. Our Yugabeings (distributed, like our database) span 12+ countries and multiple time zones, sharing expertise from diverse backgrounds and industries. About Yugabyte and Meko Yugabyte is the company behind YugabyteDB , the open source, distributed SQL database for mission-critical, cloud-native applications, trusted by global enterprises in financial services, e-commerce, betting and gaming, and telecommunications. Building on that foundation, Yugabyte has launched Meko , a new AI Data Layer purpose-built for agents, it provides Agents with a shared, persistent memory and knowledge layer, improving context, reducing repeated work, and saving token burn. As a Series C company entering the next stage of hypergrowth, Yugabyte is investing heavily in Meko as a core pillar of its go-to-market expansion into the AI agent ecosystem. Role Overview As a Product Sales Specialist for Meko, you will be the subject matter expert who drives adoption and monetisation of Meko across enterprise accounts. You will partner closely with Account Executives and Forward Deployment Engineers to identify agent-related use cases, build the business case for Meko, and progress the technical and commercial sales cycles from first conversation to close. This is a specialist overlay role: you bring deep AI/agent fluency to deals that Account Executives are already running, and you help shape how customers leverage Meko into their agent stacks. The ideal candidate is equally comfortable in a whiteboard conversation about agent memory architecture and in a boardroom conversation about the business impact and ROI of AI. The individual will actively contribute to sales enablement and GTM strategy as Meko scales. Key Responsibilities Act as the subject matter expert (SME) for Meko, building and maintaining relationships with technical and executive stakeholders and shaping how customers think about context and memory for their AI agents. Partner with Account Executives, Forward Deployment Engineers to identify specific agent use cases where Meko solves a customer's context, memory, or reliability challenges, and articulate what differentiates Meko from alternative approaches. Support the development and progression of Meko-specific sales opportunities across your assigned territory Demonstrate measurable business impact of Meko to enterprise stakeholders, translating technical capabilities such as shared context, agent memory, and data consistency into business outcomes. Collaborate cross-functionally with Marketing, Product, Account Executives, and Engineering to ensure Meko messaging, positioning, and roadmap reflect real customer and market feedback. Build and nurture relationships with customer contacts working on AI agent initiatives, positioning Meko as the preferred AI Data Layer for agentic applications. Skills & Experience Required Working knowledge of AI agent architectures, LLMs, and the emerging role of memory and context layers in agentic applications. Experience working with Field Sales, Customer Engineers, and cross-functional customer focussed teams. Ability to communicate value-based messaging that resonates with both technical stakeholders (architects, engineers) and business stakeholders (executives, product leaders). Comfort using data and analytics to track performance, forecast accurately, and optimize sales effort. We work in a hybrid model, with the team together in our Sunnyvale office 2-3 days per week. We feel strongly about equal pay for equal work, and transparency in compensation is one way to help achieve that. The cash compensation for this role is market competitive. As well as equity (when applicable), and benefits including health plans, retirement plans, and unlimited paid time off (PTO). The pay range for this position is a general guideline only and not a guarantee of compensation or salary. The actual pay will vary based on factors including experience, qualifications, and skill level. Due to the Proclamation, "Restriction on Entry of Certain Nonimmigrant Workers", which went into effect on September 21, 2025, at this time we are no longer able to sponsor new H-1B visa petitions filed after September 21, 2025 for new hires. We are still able to consider candidates who require H-1B extensions, changes of employer, or other types of work authorization. #
LI-Hybrid Equal Employment Opportunity Statement :
As an equal opportunity employer, Yugabyte is committed to a diverse workforce. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, gender, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job related characteristics or other prohibited grounds specified in applicable federal, state and local laws. To review Yugabyte's Privacy Policy please visit Yugabyte Privacy Notice.Career Insights for Marketing Analyst (General)
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What they do
A Marketing Analyst performs research and gathers data to help a company market its products or services. They gather data on consumer demographics, preferences, needs, and buying habits. They evaluate data using statistical techniques and software.
$94,850 / year median in California
-16% projected decline