Technical Account Manager (DE Track)

Reposted Yesterday
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Menlo Park, CA, USA
In-Office
120K-180K Annually
Mid level
Software • Big Data Analytics
The only SQL engine that is fast enough to run the most demanding workloads directly on your data lakehouse.
The Role
The Technical Account Manager serves as a primary point of contact for strategic customers, guiding onboarding, product adoption, and optimization of CelerData's cloud-native database solutions while ensuring customer satisfaction and fostering long-term relationships.
Summary Generated by Built In

PhoenixAI is the Agentic AI Database, purpose-built to give autonomous AI agents sub-second access to live enterprise data at massive scale. The platform unifies real-time and at-rest data in a single AI-native engine, combining the speed and concurrency that agentic workloads demand with the governance and deployment flexibility enterprises require to put AI into production. Formerly known as CelerData, PhoenixAI is headquartered in Menlo Park, California. Learn more at phoenixdata.ai

Job Overview  

We are seeking an experienced Technical Account Manager (TAM) to serve as the primary technical point of contact for our most strategic customers. In this role, you’ll blend deep product expertise with proactive relationship management—guiding customers through onboarding, adoption, optimization, and expansion of PhoenixAI. Sitting at the intersection of Solutions Architecture, Technical Support, and Customer Success, you’ll act as a trusted advisor who ensures customers maximize the value of their PhoenixAI investment while feeding critical insights back to our product and engineering teams.


Key Responsibilities  

As a Technical Account Manager, you’ll own the post-sales technical relationship for a portfolio of high-value accounts, ensuring customers achieve their data analytics goals with PhoenixAI. Your responsibilities include:

  • Proactive Technical Strategy: Develop and maintain a deep understanding of each customer’s architecture, data workflows, and business objectives. Provide tailored recommendations on cluster configuration, query optimization, schema design, and security best practices to prevent issues before they arise.
  • Onboarding & Adoption: Lead the technical onboarding of new customers, guiding them through initial deployment, data migration, integration setup, and performance tuning. Drive product adoption by ensuring customers leverage PhoenixAI’s full capabilities—including its vectorized query engine, lakehouse analytics, and real-time ingestion.
  • Health Monitoring & Optimization: Conduct regular health checks and performance reviews of customer environments. Proactively identify bottlenecks, capacity risks, and optimization opportunities, delivering actionable reports and tuning recommendations.
  • Escalation Management & Technical Support: Serve as the escalation point for complex technical issues, collaborating with Support Engineering and R&D to drive swift resolution. Own the communication loop with the customer throughout any incident or production issue.
  • Customer Advocacy & Cross-Functional Partnership: Act as the voice of the customer within PhoenixAI. Synthesize technical feedback, feature requests, and pain points into actionable insights for Product and Engineering. Partner with Sales and Customer Success to support renewals, expansions, and upsell opportunities.
  • Documentation & Knowledge Sharing: Create and maintain account-specific runbooks, architecture diagrams, and best-practice guides. Contribute to internal and external knowledge bases, blog posts, and community resources to scale customer enablement.


Qualifications  
  • Ambition & Curiosity: A driven, inquisitive mindset—eager to learn the intricacies of PhoenixAI's product, tackle tough customer challenges, and continuously grow, even if starting with less experience in specific areas.
  • Experience: 3+ years as a Data Engineer, Data Infra Engineer, or Database Administrator. We are specifically looking for builders who are ready to leverage their technical depth in a strategic, customer-facing GTM role.
  • Technical Expertise:
    • Hands-on experience with OLAP workloads, query optimization, and data modeling (e.g., star schema, snowflake schema).
    • Proficiency in SQL.
    • Strong understanding of distributed data processing system theory and cluster management.
    • Familiarity with at least one public cloud platform (AWS, GCP, Azure).
    • Ability to read logs, analyze query profiles, and troubleshoot performance issues in production environments.
  • Communication Skills: Proven ability to distill complex technical concepts into clear, compelling narratives for diverse stakeholders, from engineers to C-level executives. Strong written communication for producing reports, runbooks, and executive summaries.
  • Problem-Solving: Adept at diagnosing and resolving complex technical challenges in production environments. Comfortable working under pressure during customer-critical incidents.
  • Customer-First Mindset: Experience building long-term, trust-based relationships with enterprise customers. A track record of driving customer satisfaction, retention, and expansion through technical excellence.
  • Bonus Points:
    • Knowledge of BI tools (e.g., Tableau, Looker, Apache Superset).
    • Experience with streaming processing systems (Kafka, Redpanda, Flink, etc.).
    • Familiarity with infrastructure-as-code tools (Terraform, CloudFormation) and container orchestration (Kubernetes).
    • Prior experience with StarRocks or similar MPP analytical databases (ClickHouse, Druid, Presto/Trino).


The base salary for this role is projected at $120,000 - $180,000 annually, plus eligibility for PhoenixAI bonus and equity programs.

Individual compensation will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. We also provide a comprehensive benefits package featuring premium medical, dental, and vision coverage, life insurance, and a 401(k) retirement plan. Employees enjoy at least 16 days of PTO, parental leave, health savings options, and access to our employee assistance program.


Skills Required

  • 3+ years as a Data Engineer, Data Infra Engineer, or Database Administrator
  • Hands-on experience with OLAP workloads, query optimization, and data modeling
  • Proficiency in SQL
  • Strong understanding of distributed data processing system theory and cluster management
  • Familiarity with at least one public cloud platform (AWS, GCP, Azure)
  • Ability to read logs, analyze query profiles, and troubleshoot performance issues
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The Company
HQ: Menlo Park, CA
68 Employees
Year Founded: 2022

What We Do

CelerData Cloud is the fastest, secure analytical engine that powers customer-facing and AI-driven analytics at scale, delivering consistently reliable and unbeatable performance with a future-proof architecture—ensuring real-time access to open data without ingestion delays or costly data pipelines. Powered by StarRocks, CelerData delivers 3X the performance/cost of any other solution on the market and is the only platform uniquely designed to enable users to simplify their lakehouse architecture and ditch the need for a data warehouse. CelerData is used worldwide by market-leading brands including Coinbase, Pinterest, Demandbase, and Expedia to generate critical new insights for these data-driven companies.

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