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Staff Product Marketing Engineer

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.

Key Responsibilities

1. Product Positioning & Messaging

  • 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.

2. Technical Content Creation

  • Create hands-on technical content, including:

    • Benchmark reports and performance comparisons

    • Engineering blogs with working SQL and schema diagrams

    • Product walkthroughs, solution briefs, and explainer videos

  • Build technical artifacts like:

    • Sample queries and schema models

    • Reference architectures and demo apps (e.g., real-time dashboards, agentic search)

3. Performance Benchmarking

  • Design and run benchmarks that demonstrate Tiger Data’s performance and architectural advantages.

  • Collaborate with engineering to test ingestion rates, query throughput, latency, compression, and vector retrieval speed.

  • Turn results into clear, technically credible reports and visualizations.

  • Keep competitive intelligence up to date through hands-on testing of alternatives (e.g., ClickHouse, MongoDB, Pinecone, etc.).

4. Developer Docs & Tutorials (Contributions)

  • Collaborate with technical writers to shape documentation, onboarding guides, and tutorials.

  • Contribute example queries, schema patterns, and integration instructions (Kafka, dbt, LangChain, etc.).

  • Ensure docs reflect how real developers use Tiger Data in production.

5. Market Research & Competitive Positioning

  • Analyze the broader infra and AI ecosystem, including developer trends and evolving architectures.

  • Build competitive guides, battlecards, and feature comparisons for technical buyers.

  • Stay sharp on emerging tools in the real-time and AI-native stack.

6. GTM Strategy & Launch Execution

  • Own technical GTM for new feature launches and infrastructure capabilities.

  • Collaborate with product, engineering, and marketing to develop narratives, demos, and high-impact launch content.

  • Ensure every launch resonates with developers and drives measurable adoption.

7. Sales & Field Enablement

  • Equip Sales, SEs, and Customer Success with technical materials such as

    • Decks, whitepapers, and real-world examples

    • Vertical-specific playbooks and decision guides

    • Performance talking points grounded in benchmarks

8. Developer Feedback & API UX

  • Act as a technical proxy for real developers: test APIs, build with them, and deliver actionable feedback to product teams.

  • Shape how Postgres extensions, vector search, and time-series features are presented and used.

What You Bring (Required)

  • 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.

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

What Success Looks Like

  • Developers instantly understand Tiger Data’s value—and how to use it—because your content is credible, practical, and technically sharp.

  • Benchmarks showcase performance wins with real data and clear storytelling.

  • New feature launches include demos, SQL examples, and architecture diagrams that developers actually reference.

  • Tiger Data becomes the go-to choice for teams building high-throughput, real-time, or AI-native systems.

Our Commitment:

  • We respond to every applicant.

  • We review applications fairly and objectively, and shortlist based on relevant skills and experience.

  • We ensure clear and timely communication throughout your candidate journey.

  • We maintain a rigorous interview process with a high bar, designed to give you the opportunity to meet various team members you'll collaborate with across our organization.

About Tiger Data🐯

Tiger Data, formerly Timescale, sets the standard as the fastest PostgreSQL platform for modern workloads. Trusted by more than 2,000 customers across 25+ countries and powering over 3 million active databases, we enable developers and organizations to build real-time, intelligent applications at scale. Backed by $180 million from top-tier investors, Tiger Data is building the new standard for data infrastructure, built on PostgreSQL, designed for the future.

👉 👉 Want to get a feel for how we work and what we value? Check out our blog post: What It Takes to Thrive at Tiger Data

We embrace diversity, curiosity, and collaboration. Whether debating the perfect chicken nugget crunch 🍗, sharing workout routines 💪, or discussing your favorite plants 🌱 and pets 🐾, you'll find your community here.

Our Tech Stack:

We don't require previous experience with our tech stack, but enthusiasm for learning is key. Our technologies include PostgreSQL, Tiger Cloud, AWS, Go, Docker, Kubernetes, Python, and innovative features like Hypertables, Hypercore, vector search, and real-time analytics.

Learn more at www.tigerdata.com or follow us on Twitter @TigerDatabase

What We Offer:

(Please note that benefits may vary based on country.)

  • 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)

Ready to join the future of PostgreSQL? We can’t wait to meet you. 🚀🐯

Average salary estimate

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$150000K
$220000K

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Full-time, remote
DATE POSTED
December 11, 2025
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