Technical Account Manager

About Us 
Acceldata is the market leader in Enterprise Data Observability. Founded in 2018, Silicon Valley-based Acceldata has developed the world's first Enterprise Data Observability Platform to help build and operate great data products.  
Enterprise Data Observability is at the intersection of today’s hottest and most crucial technologies such as AI, LLMs, Analytics, and DataOps. Acceldata provides mission-critical capabilities that deliver highly trusted and reliable data to power enterprise data products.
Delivered as a SaaS product, Acceldata's solutions have been embraced by global customers, such as HPE, HSBC, Visa, Freddie Mac, Manulife, Workday, Oracle, PubMatic, PhonePe (Walmart), Hersheys, Dun & Bradstreet, and many more. Acceldata is a Series-C funded company and its investors include Insight Partners, March Capital, Lightspeed, Sorenson Ventures, Industry Ventures, and Emergent Ventures.
About the Role:
Our TECHNICAL ACCOUNT MANAGER (TAM) is a senior, customer-facing technical leader responsible for owning long-term customer technical success and value realization for Acceldata’s strategic enterprise accounts.The TAM acts as a trusted technical advisor and architect, partnering closely with Strategic Account Managers (SAMs), Product, and Engineering to translate customer business priorities into multi-quarter technical success plans, align product capabilities to customer needs, and enable predictable account expansion.This is a high-impact, consultative role focused on customer & Acceldata outcomes.
Key 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.
• Architect end-to-end solutions with a focus on scalability, performance, security, and cloud-native best practices.
• 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.
• Provide feedback to Product and Engineering on product gaps, areas for improvement, and feature requests that support long-term customer success.
• Travel to customer sites as needed to deliver deep technical engagement and business impact.

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.

Required Technical Skills

• Strong expertise in enterprise data platforms and distributed systems (Data & Control plane architectures).
• Hands-on experience with:- Apache Spark, Kafka and other open source big data platform technologies
  - Kubernetes and containerized workloads
  
• Experience with modern cloud data platforms such as Databricks, Snowflake
• Deep understanding of Data pipelines and metadata managementData 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

Required Professional & Consulting Skills

• Strong consultative mindset with enterprise customers
• 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

EXPERIENCE & EDUCATION

• 10+ years of experience in enterprise data management or data platforms
• Prior experience as a Solution Architect in a data platform or data management company strongly preferred
• Experience in a global SI or consulting firm, managing multiple customer engagements in a consultative role, highly desired
• Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred)