Responsibilities

Owning the technical side of deals by helping move customers from “this looks interesting” to “we’re confident this will work.”
Working directly with customers to design scalable systems using PostgreSQL and TigerData.
Going deep on real problems: schema design, query optimization, performance issues, and architectural tradeoffs.
Acting as a trusted technical partner from the first conversation through early adoption.
Collaborating closely with Product, Engineering, Support, and Customer Success - bringing real customer feedback back into the product.
Building things that scale your impact: demos, reference architectures, benchmarks, and technical content.
Using AI tools where they actually help - whether that’s analyzing queries faster, exploring architectures, or speeding up how you build and share solutions.
Staying curious and continuously learning (Postgres ecosystem, cloud infra, emerging data patterns, etc.)

Requirements

Have worked in a Solutions Architect / Sales Engineer / pre-sales role for a technical or developer-focused product.
Have real, hands-on experience with relational databases at scale (PostgreSQL is a big plus).
Are comfortable talking through data models, query plans, performance tuning, and system design with engineers.
Understand cloud environments (AWS, GCP, Azure) and modern data stacks (ETL pipelines, storage, compute).
Can switch gears between a deep technical conversation and a higher-level business discussion.
Like figuring things out - you don’t need everything to be documented to get started.
Are already using (or at least experimenting with) AI tools to work faster and smarter.