Solutions Architect

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TigerData (creators of TimescaleDB)

Site WebLinkedInTous les Emplois

51 - 200 employés

Fondée en 2015

☁️ SaaS

🤖 Intelligence artificielle

Database • SaaS • Artificial Intelligence

TigerData est le créateur de TimescaleDB et propose un service cloud PostgreSQL fiable, conçu pour des workloads haute performance, en particulier en time series et real-time analytics. Avec un focus sur la sécurité et la scalabilité, TigerData prend en charge des applications exigeantes dans de nombreux secteurs en offrant une ingestion de données ultra-rapide, des requêtes complexes et une gestion efficace de très grands volumes de données. Leurs services conviennent aux applications orientées client et sont utilisés par des entreprises leaders dans des secteurs tels que l’IoT, l’IA et la finance.

Description

• 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.)

🎯 Exigences

• 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

🏖️ Avantages

• Flexible PTO and comprehensive family leave • Fridays off in August 😎 • Fully remote opportunities globally • Stock options for long-term growth • Monthly WiFi stipend • Professional development and educational resources 📚 • Premium insurance options for you and your family (US-based employees)