Job description

About PhoenixAI 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 a talented Database Support Engineer to join our team and play a pivotal role in the sales cycle for our Agentic Database. You will be working on the post-sales side — driving onboarding, deployment, adoption, and long-term customer success. This customer-facing role requires a blend of deep technical expertise, strong communication skills, and a passion for solving complex data challenges throughout the customer journey. Location: US East (Remote) Employment type: Full-time Reports to: Head of Database Support Engineering Key Responsibilities As a Database Support Engineer, you'll be the ongoing technical point of contact for customers, ensuring they realize sustained value from PhoenixAI's Agentic Database, while flexibly supporting the sales team as presales needs arise. Your responsibilities include: • Onboarding & Deployment: Guide new customers through implementation and deployment, ensuring solutions architectured during the sales cycle are realized in production. • Adoption & Expansion: Serve as the ongoing technical point of contact post-sale, driving product adoption, resolving technical issues, and identifying opportunities for expansion. • Customer Advocacy: Build trusted, long-term relationships with customer technical stakeholders, understanding their business problems and technical constraints deeply enough to represent their interests internally. • Technical Health & Optimization : Proactively monitor account technical health, troubleshoot production issues, and recommend architecture or configuration improvements as customer needs evolve. • Feedback loop to product/engineering: Relay patterns and pain points seen across customers back to the core engineering/product team • PoC Support to Presales: Assist with the design or execution of Proof of Concepts for prospects when presales bandwidth requires it. • Documentation: Keep detailed records of evaluations—covering use cases, challenges, PoC plans, and outcomes—to refine our process and inform product enhancements to PhoenixAI’s Agentic Database. • Cross-Functional Partnership: Collaborate with sales to align technical discussions with business goals, address objections, and close deals, while gathering customer insights to shape PhoenixAI’s Agentic Database roadmap with product and engineering teams. • Marketing Support & Thought Leadership: Boost PhoenixAI’s presence by delivering webinars, staffing conference booths, speaking at user groups, and writing blogs on Agentic AI use cases and best practices. Qualifications • Experience: 5+ years in a pre-sales and/or post-sales role such as solutions engineering, technical consulting or customer success engineering, ideally within the data analytics, database, or cloud infrastructure space. • Technical Expertise: • • Hands-on experience of OLAP workloads, query optimization, and data modeling (e.g., star schema, snowflake schema) • Proficiency in SQL. • Deep understanding of distributed data processing system theory. • Familiar with at least one of the public cloud platforms (AWS, GCP, Azure) • Ambition & Curiosity: A driven, inquisitive mindset—eager to learn PhoenixAI Agentic Database product’s intricacies, tackle tough challenges, and grow into the role, even if starting with less experience or specific skills. • Communication Skills: Proven ability to distill complex technical concepts into clear, compelling narratives for diverse stakeholders, from engineers to C-level executives. • Problem-Solving: Adept at troubleshooting technical challenges during PoCs and adapting solutions to meet unique customer needs. • Sales & Customer Success Mindset: Experience supporting sales and post-sales teams in technical evaluations, with a track record of securing technical wins and driving revenue growth. • Bonus Points: • • Knowledge of BI tools (e.g., Tableau, Looker) • Experience with streaming processing systems (Kafka, Redpanda, etc.) Every PhoenixAI hire is held to the same operating bar: own the outcome, seek truth and build trust, move fast with judgment, work AI-first, and raise the bar without ego. Compensation The base salary range for this role is $150,000 to $200,000 . The offer also includes equity and PhoenixAI's full benefits package. Where you land in the range depends on your experience, scope, and interview results. PhoenixAI is an equal opportunity employer. We welcome candidates of all backgrounds and do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic.

Requirements

Must-haves

Onboarding & Deployment: Guide new customers through implementation and deployment, ensuring solutions architectured during the sales cycle are realized in production.
Adoption & Expansion: Serve as the ongoing technical point of contact post-sale, driving product adoption, resolving technical issues, and identifying opportunities for expansion.
Customer Advocacy: Build trusted, long-term relationships with customer technical stakeholders, understanding their business problems and technical constraints deeply enough to represent their interests internally.
Technical Health & Optimization : Proactively monitor account technical health, troubleshoot production issues, and recommend architecture or configuration improvements as customer needs evolve.
Feedback loop to product/engineering: Relay patterns and pain points seen across customers back to the core engineering/product team
PoC Support to Presales: Assist with the design or execution of Proof of Concepts for prospects when presales bandwidth requires it.
Documentation: Keep detailed records of evaluations—covering use cases, challenges, PoC plans, and outcomes—to refine our process and inform product enhancements to PhoenixAI’s Agentic Database.
Marketing Support & Thought Leadership: Boost PhoenixAI’s presence by delivering webinars, staffing conference booths, speaking at user groups, and writing blogs on Agentic AI use cases and best practices.
Experience: 5+ years in a pre-sales and/or post-sales role such as solutions engineering, technical consulting or customer success engineering, ideally within the data analytics, database, or cloud infrastructure space.
Hands-on experience of OLAP workloads, query optimization, and data modeling (e.g., star schema, snowflake schema)
Proficiency in SQL.
Deep understanding of distributed data processing system theory.
Familiar with at least one of the public cloud platforms (AWS, GCP, Azure)
Communication Skills: Proven ability to distill complex technical concepts into clear, compelling narratives for diverse stakeholders, from engineers to C-level executives.
Problem-Solving: Adept at troubleshooting technical challenges during PoCs and adapting solutions to meet unique customer needs.
Sales & Customer Success Mindset: Experience supporting sales and post-sales teams in technical evaluations, with a track record of securing technical wins and driving revenue growth.

Nice-to-haves

Knowledge of BI tools (e.g., Tableau, Looker)
Experience with streaming processing systems (Kafka, Redpanda, etc.)
Every PhoenixAI hire is held to the same operating bar: own the outcome, seek truth and build trust, move fast with judgment, work AI-first, and raise the bar without ego.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

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