
Database • SaaS • Artificial Intelligence
TigerData is the creator of TimescaleDB, offering a reliable PostgreSQL cloud service designed for high-performance workloads, particularly in time series and real-time analytics. With a focus on security and scalability, TigerData supports demanding applications across various industries by providing lightning-fast data ingestion, complex querying, and efficient management of large datasets. Their services are suitable for customer-facing applications and are used by leading companies in sectors like IoT, AI, and finance.
9 hours ago

Database • SaaS • Artificial Intelligence
TigerData is the creator of TimescaleDB, offering a reliable PostgreSQL cloud service designed for high-performance workloads, particularly in time series and real-time analytics. With a focus on security and scalability, TigerData supports demanding applications across various industries by providing lightning-fast data ingestion, complex querying, and efficient management of large datasets. Their services are suitable for customer-facing applications and are used by leading companies in sectors like IoT, AI, and finance.
• Craft technically rigorous narratives, • Build and publish performance benchmarks, • Contribute example queries and reference architecture • Help technical decision-makers understand why Tiger Data is the Postgres for real-time and AI-native applications. • Develop messaging that resonates with infrastructure teams, architects, and hands-on builders. • Translate Postgres-powered architecture into clear, compelling positioning—across time-series, vector, and hybrid workloads. • Craft developer-native language that bridges Tiger Data’s real-time performance, reliability, and scalability. • Create hands-on technical content including benchmark reports, engineering blogs, product walkthroughs, and demo apps. • Design and run benchmarks that demonstrate Tiger Data’s performance and architectural advantages. • Collaborate with engineering to test ingestion rates, query throughput, latency, and vector retrieval speed. • Collaborate with technical writers to shape documentation, onboarding guides, and tutorials.
• Deep infrastructure experience—understanding how modern data systems are built, deployed, and scaled. • Strong proficiency in PostgreSQL, including schema design, indexing, query planning, and performance tuning. • Experience designing or running technical benchmarks, ideally in high-ingest or real-time environments. • Ability to communicate complex infrastructure trade-offs to developers in clear, actionable terms. • Strong writing skills with a portfolio of technical blogs, docs, or reports. • Comfort collaborating across product, engineering, docs, and GTM teams. • Bonus Skills (Nice to Have) • Experience with vector databases (e.g., pgvector, Pinecone, Weaviate) • Time-series architectures • Event streaming and orchestration tools (Kafka) • Previous work in developer tools, AI infrastructure, or open-source ecosystems
• 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)
Apply Now15 hours ago
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