growthroles

Technical Account Manager - xLake: Data & AI Platform

Acceldata acceldata.io Open · verified Sep 21, 2026
Hybrid United States CaliforniaCampbell Full-time Manager Account Management

At a glance

Mid-level Account Management role at Acceldata. United States · full-time · $200,000–$250,000 base.

SalaryStated by Acceldata
$200,000 – $250,000
Base salary for this role, in USD per year, as published in the posting.
RoleAccount Management
SeniorityManager
LocationUnited States
WorkplaceHybrid
EmploymentFull-time
Base pay$200,000–$250,000
PostedMar 30, 2026 · 5mo ago
Also hiring inCalifornia, Campbell
Role brief

Growth Roles summary, based on the employer's posting.

What you'll do

  • Lead customer projects by creating reference architectures, implementation guides, demo applications, and production-ready MVPs
  • Guide post-sale architecture, design, deployment, and adoption across complex data migrations and installations
  • Solve deployment challenges involving Kubernetes, cloud platforms, and data workflows while improving scalability, performance, and security
  • Own success plans for assigned accounts, tracking adoption, technical health, risks, and realized business value
  • Bring customer feedback to Product and Engineering, and join technical reviews, roadmap discussions, and strategic planning

What you bring

  • At least twelve years advising enterprise customers as a technical architect across data platforms, management, or distributed systems
  • Strong command of data pipelines, metadata, observability, lineage, governance, quality, and catalog capabilities
  • Experience with AWS, Azure, or GCP, plus Databricks, Snowflake, Apache Spark, Kafka, Kubernetes, and containerized workloads
  • A consultative approach that turns business goals into technical designs, with executive communication and multi-account stakeholder management
  • A bachelor's degree in computer science, engineering, or a related discipline

Who this fits

This role suits a senior customer-facing architect who can manage several complex enterprise accounts while leading technical delivery and long-term value plans. You'll work with Sales, Product, Engineering, Project Management, and Support, and travel to customer sites as needed. The role is hybrid in the United States.

From the employer

ABOUT THE ROLE

Our Technical Account Managers are customer-facing technical advisors and architects who own long-term customer success and value realisation 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. Platform Link : https://www.acceldata.io/xlake-home

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 Customer-Facing Architect in enterprise data management or data platforms and distributed systems (Data & Control plane architectures).
  • 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.
  • 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).

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