Staff Product Marketing Engineer

Tiger Data

20d•Remote

About The Position

At Tiger Data, formerly Timescale, we empower developers and businesses with the fastest PostgreSQL platform designed for transactional, analytical, and agentic workloads. Trusted globally by thousands of organizations, Tiger accelerates real-time insights, drives intelligent applications, and powers critical infrastructure at scale. As a globally distributed, remote-first team committed to direct communication, accountability, and collaborative excellence, we're shaping the future of data infrastructure, built for speed, flexibility, and simplicity. The Product Marketing Engineer (PME) is a deeply technical role at the intersection of infrastructure, storytelling, and product. You’ll help translate Tiger Data’s database architecture into credible, high-signal assets that drive developer adoption, technical understanding, and market awareness. You will work hands-on with engineering, product, and docs teams to: 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. This is a perfect role for someone with deep infrastructure experience who wants to shape go-to-market strategy without giving up their technical edge.

Requirements

Deep infrastructure experience—you understand 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.

Nice To Haves

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