Database Support Engineer (US East)

CelerData

2d•$150,000 - $200,000•Remote

About The Position

PhoenixAI is seeking a customer-facing Database Support Engineer to support the sales cycle and drive post-sales onboarding, deployment, adoption, and long-term customer success for its Agentic Database. The role serves as an ongoing technical point of contact for customers, helping them realize sustained value while flexibly assisting the sales team with presales needs. It combines technical expertise, communication, customer advocacy, and problem-solving across the customer journey. The engineer guides customers through implementation and deployment, supports adoption and expansion, monitors technical health, troubleshoots production issues, and recommends architecture or configuration improvements. The role also contributes customer feedback to product and engineering, supports prospect proof-of-concept work, documents evaluations, partners with sales and product teams, and contributes to marketing and thought leadership through webinars, conferences, user groups, and blogs. PhoenixAI expects employees to own outcomes, seek truth and build trust, move fast with judgment, work AI-first, and raise the bar without ego. The position is remote in the US East region and reports to the Head of Database Support Engineering. The base salary range is $150,000 to $200,000, with equity and PhoenixAI’s full benefits package. Compensation within the range depends on experience, scope, and interview results. PhoenixAI is an equal opportunity employer and does not discriminate based on protected characteristics.

Requirements

At least 5 years of experience in a presales and/or post-sales role such as solutions engineering, technical consulting, or customer success engineering; ideally in data analytics, databases, or cloud infrastructure.
Hands-on experience with OLAP workloads, query optimization, and data modeling, such as star schema and snowflake schema.
Proficiency in SQL.
Deep understanding of distributed data processing system theory.
Familiarity with at least one public cloud platform: AWS, GCP, or Azure.
Ability to communicate complex technical concepts clearly and compellingly to diverse stakeholders, from engineers to C-level executives.
Ability to troubleshoot technical challenges during proof-of-concepts and adapt solutions to unique customer needs.
Experience supporting sales and post-sales teams in technical evaluations, with a track record of securing technical wins and driving revenue growth.
Driven and inquisitive mindset, with willingness to learn the product, tackle challenging problems, and grow into the role.

Nice To Haves

Knowledge of business intelligence tools such as Tableau or Looker.
Experience with streaming processing systems such as Kafka or Redpanda.

Responsibilities

Guide new customers through implementation and deployment, ensuring solutions designed during the sales cycle are realized in production.
Serve as the ongoing post-sale technical point of contact, drive product adoption, resolve technical issues, and identify expansion opportunities.
Build trusted, long-term relationships with customer technical stakeholders and represent their interests internally.
Monitor account technical health, troubleshoot production issues, and recommend architecture or configuration improvements as customer needs evolve.
Relay customer patterns and pain points to the product and engineering teams.
Assist with designing or executing prospect proof-of-concepts when presales bandwidth requires it.
Document evaluations, including use cases, challenges, proof-of-concept plans, and outcomes.
Collaborate with sales to align technical discussions with business goals, address objections, and close deals.
Gather customer insights to help shape the Agentic Database roadmap with product and engineering.
Support marketing and thought leadership by delivering webinars, staffing conference booths, speaking at user groups, and writing blogs on Agentic AI use cases and best practices.