Technical Account Manager - xLake: Data & AI Platform

Job description

#### **ABOUT US** Acceldata is the market leader in Enterprise Data Observability. Founded in 2018 and backed by top investors including Insight Partners, March Capital, Lightspeed, Sorenson Ventures, Industry Ventures, and Emergent Ventures, we are a Series-C funded company headquartered in Silicon Valley. Our Enterprise Data Observability Platform—the first of its kind—helps enterprises build and operate world-class data products by ensuring data is reliable, trusted, and ready to power today’s most critical technologies, including AI, LLMs, Analytics, and DataOps. Delivered as a SaaS solution, Acceldata is trusted by leading global organizations such as HPE, HSBC, Visa, Freddie Mac, Manulife, Workday, Oracle, PubMatic, PhonePe (Walmart), Hershey’s, Dun & Bradstreet, and many more. #### **ABOUT THE ROLE** Our Technical Account Managers are customer-facing technical advisors and architects who own long-term customer success and value realization for Acceldata’s strategic enterprise accounts. Our TAMs act as trusted technical advisors and architects, partnering closely with Strategic Account Managers, Product, and Engineering teams to translate customer business priorities into multi-quarter technical success plans, align product capabilities with customer needs, and enable predictable account expansion. This is a high-impact, consultative role focused on outcomes for both the customer and Acceldata. ### RESPONSIBILITIES #### Technical Leadership & Solutions Architecture - Lead high-impact customer technical projects, including reference architectures, how-to guides, demo applications, and production-grade MVPs. - Provide technical leadership and consultation to support customers post-sale, guiding architecture, design, implementation, and adoption of Acceldata solutions. - Assist customers with transformational data projects, including migrations, installations, and deployments in complex environments. - Help overcome technical challenges across Kubernetes, cloud platforms, and data workflows, optimizing customer deployments. - Collaborate with internal Engineering, Product, Project Management, and Support teams to ensure successful delivery, issue resolution, and customer satisfaction. - Architect end-to-end solutions with a focus on scalability, performance, security, and cloud-native best practices. - Travel to customer sites as needed to deliver deep technical engagement and business impact. - Provide feedback to Product and Engineering on product gaps, areas for improvement, and feature requests that support long-term customer success. #### Customer Success & Value Ownership - Act as a trusted technical advocate for a defined set of accounts, partnering closely with Sales & Products. - Author and manage Joint Success Plans / Success Contracts (for next 3–4 quarters). - Build strong relationships with customer technical stakeholders to ensure adoption, value realization, and satisfaction. - Monitor technical health, usage adoption, and deployment success; proactively intervene and mitigate risks. - Participate in business and technical reviews, roadmap discussions, and strategic planning to align product value with customer objectives. - Translate technical achievements into business impact, providing actionable insights and metrics for customer leadership. ### REQUIREMENTS - 12+ years of experience as a Solution Architect in enterprise data management or data platforms and distributed systems (Data & Control plane architectures). - Experience in a global SI or consulting firm, managing multiple customer engagements in a consultative role, is highly desired. - Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred). - Deep understanding of data pipelines and metadata management, data observability, lineage, and governance. - Familiarity with data quality, data catalog, and governance tools like Informatica, Collibra, Alation, Atlan, etc. - Experience working across AWS, Azure, or GCP environments. - Experience with modern cloud data platforms such as Databricks and Snowflake. - Hands-on experience with: - Apache Spark, Kafka, and other open source big data platform technologies. - Kubernetes and containerized workloads. - Strong consultative mindset with enterprise customers, with the ability to translate business outcomes into technical architectures. - Executive-level communication and stakeholder management skills. - Proven ability to manage multiple complex customers simultaneously. - Comfortable influencing Product and Engineering through structured inputs.