---
title: 'Product Marketing Manager at MotherDuck'
canonical: 'https://feeny.ai/job/product-marketing-manager-motherduck-seattle-bpbaqb05cwwn'
type: 'job'
last_seen: '2026-11-01'
---

# Product Marketing Manager at MotherDuck

- **Company:** MotherDuck
- **Location:** Seattle, WA
- **Compensation:** $130k–$185k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-30
- **Last confirmed live:** 2026-11-01
- **Apply:** https://jobs.ashbyhq.com/motherduck/b48c0b10-7eca-438a-a04f-07ca2b8aa7e0

## Job description

## About MotherDuck

Don’t let the quirky name fool you: At MotherDuck, we’re on a mission to make data warehousing fun, frictionless, and ducking awesome for developers and data practitioners building blazing fast internal and customer-facing analytics experiences. We're building a cloud-hosted version of DuckDB, working hand-in-hand with the creators of the fastest-growing and fastest-improving query engine on the planet. Unlike other databases, MotherDuck was architected to unify local development with cloud operations to bridge the gap between software and data engineering workflows. Our team is a mix of thoughtful, passionate, and empathetic data industry veterans.

## What you will do

We’re looking for a Product Marketer who lives at the intersection of words, product, and customers. You’ll take what our engineers build and turn it into stories that make developers and data teams lean in. You’ll own positioning and messaging, write the pages people actually read, and make sure our sales team walks into every conversation ready. This role can be based in our Seattle, San Francisco or New York City office.

## Key responsibilities

- Write. A lot. Website copy, landing pages, launch posts, product one-pagers, emails. You care about every word and you know when to cut.
- Help shape how we tell our story. Work alongside product, sales, and leadership on who we’re for, why we’re different, and how to say it in a way a data engineer won’t roll their eyes at... then keep it fresh as the product and market evolve.
- Build the web and the artifacts. Ship landing pages, comparison pages, demos and interactive assets... ideally hands-on with AI tools rather than waiting in a queue for design and eng.
- Arm the sales team. Create battlecards, pitch decks, objection handling, and competitive takes that AEs and Customer Engineers actually use in deals. Sit in on calls and bring what you hear back into the messaging.
- Run launches. Plan and ship product launches end to end with product, engineering, DevRel and growth.
- Stay close to customers and the market. Talk to users, track competitors (Snowflake, Databricks, BigQuery and friends), and turn what you learn into sharper stories.
- Work AI-first. Use Claude and other tools to research, draft, prototype and ship. Help set the bar for how marketing at MotherDuck uses AI.

## What you bring

- 3 to 10 years in product marketing, ideally at a B2B software or developer-focused company
- Excellent writing. Clear, punchy, and specific... you can make a technical idea land in one sentence
- A real knack for positioning: you've taken a product to market and can show the before and after
- Experience building web pages and landing pages, and comfort shipping them yourself with modern tools
- A track record of sales enablement that sales teams actually used
- Genuine curiosity about technical products. You don't need to write SQL for a living, but you want to understand how the thing works
- AI fluency. You already use AI daily to do better work, and you're excited to push that further
- A bias for action. You'd rather ship a good version this week than a perfect one next quarter

What people should be saying if you’re doing ducking awesome

- “I sent the new landing page to a prospect and they replied ‘this is exactly our problem.’ Didn’t have to explain a thing.”
- “Honestly, I understand our own feature better after reading the launch post.”
- “The battlecard came up in the call and I had the answer before they finished the question.”
- “They showed me a workflow they built with AI last week and now half of marketing uses it.”

## What we provide

- Feather-ruffling compensation – competitive salary and stock options so you have a stake in our flock’s success.
- Top-notch healthcare coverage – 100% paid medical, dental, and vision for employees, plus 80% coverage for dependents (because we care about your whole nest).
- Flexible PTO – take the time you need to recharge, explore, or just have a lazy day by the pond.
- 401k plan – because even ducks need to plan for the future.
- Flexible work environment - spend most of the week in the office collaborating with the flock, and work from wherever you're most productive the rest of the time. Specifics are role dependent and as agreed upon with your manager

## Why MotherDuck

We're a ~110-person, Series B team building on one of the fastest-growing open source projects in data. We're small enough that your work shows up on the website next week, and growing fast enough that there's always something new to figure out. How we work comes down to four values:

- Thoughtfulness. We care about the people we work with and the craft behind what we ship.
- Flexibility. Plans change. We adapt without drama.
- Unorthodoxy. We question the default way of doing things, including in marketing.
- Agency. We own outcomes and don't wait for permission.

Please Apply Does this role sound appealing to you, but you’re missing some of the requirements or don’t quite think you’re qualified?  Please apply anyway. Research has shown that underrepresented groups in technology often shy away from roles which aren’t a 100% match. We aim to build a diverse team and will strongly consider applicants who bring many of the requirements plus have other experiences which round out their qualifications. MotherDuck is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. MotherDuck is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.

## About MotherDuck

## Company Overview
- **One-liner**: MotherDuck is a serverless, cloud-native data warehouse built on DuckDB that delivers sub-second query performance and AI-native analytics for humans, agents, and applications.
- **Entity Type**: Private (Series B; $100M total funding)
- **Headquarters**: Seattle, Washington, United States (with hubs in San Francisco, New York, and Amsterdam)
- **Founded**: 2022
- **Founders**: Jordan Tigani (co‑founder & CEO, former Google BigQuery founding engineer) in partnership with DuckDB creators Hannes Mühleisen and Mark Raasveldt (DuckLabs)

## Core Business
- **Industry**: Data Infrastructure and Analytics (serverless cloud data warehouse)
- **Target Customers**: B2B – data teams, SaaS companies building customer‑facing analytics, AI/agent developers, and enterprises wanting to cut data warehouse costs
- **Mission**: “Collapse the distance between question and answer” – make it easy for anyone to explore data without waiting on data teams

## Products & Services
- **MotherDuck (Cloud Data Warehouse)**: Serverless, fully managed DuckDB service. Every user/agent gets an isolated DuckDB instance (“Duckling”) that spins up in 100ms and shuts down when idle. Supports petabyte‑scale data in S3, GCS, Azure (including Iceberg/Delta Lake). 5–10x cheaper than Snowflake/BigQuery.
- **DuckLake**: The fastest, simplest lakehouse – open table format that stores metadata in a SQL database instead of thousands of files, for petabyte scale and 100x faster metadata operations.
- **Dives**: AI‑generated interactive visualizations. Ask natural‑language questions, get live charts with sub‑second performance. Persistent and shareable – no separate BI tool needed.
- **Flights**: Agent‑native data pipelines – scheduled Python jobs for ingestion, enrichment, and transformation, built and deployed through the MCP server.
- **MCP Server (Model Context Protocol)**: Connects AI agents (Claude, ChatGPT, Cursor, etc.) to MotherDuck databases with fuzzy catalog search, query guidelines, and cost isolation.
- **Data Sharing**: Create shareable, read‑only snapshots of databases (cross‑org collaboration).
- **Read Scaling**: Replicas for high‑concurrency BI and multi‑user workloads.

## Market Standing
- **Valuation**: Not disclosed
- **Key Metric**: $40M annual revenue (LinkedIn estimate, 2026) + $100M total funding ($12.5M Seed, $35M Series A, $52.5M Series B)
- **Notable Investors/Partners**: Andreessen Horowitz, Redpoint, Felicis (investors). Technology partners include Airbyte, Fivetran, dbt, Metabase, Tableau, Hex, Power BI, LangChain, LlamaIndex, Anthropic, Monte Carlo, and 59+ others.
- **Growth Signals**: Headcount grew 54.4% YoY (to ~97 employees); active job postings increasing month over month (37.5% monthly trend, 11 open roles as of mid‑2026); strong ecosystem integration with 59 technology and 11 consulting partners.

## Competitive Advantages
- **Built on DuckDB**: Inherits the blazing‑fast, in‑process query engine that improves 20% per version, while adding serverless cloud capabilities.
- **Hypertenancy Architecture**: Each user/agent gets an isolated DuckDB instance – no noisy neighbors, no workload management, and no cost spikes from AI agents.
- **Extreme Cost Efficiency**: Customers routinely cut warehouse costs 5–10x vs. Snowflake/BigQuery by running small queries on small machines.
- **AI‑Native from Day One**: MCP server, Dives, Flights – designed for agentic and natural‑language analytics, eliminating the need for separate BI or orchestration tools.
- **Seamless Embedding**: SaaS companies can give each end customer an isolated analytics backend; 100ms spin‑up and zero idle costs make it ideal for product‑embedded analytics.

## Strategic Focus
- **Agentic Analytics**: Deepening AI integration (MCP, Dives, Flights) to make MotherDuck the default data layer for AI agents and natural‑language querying.
- **Customer‑Facing Analytics**: Helping SaaS vendors embed isolated, fast analytics into their own products.
- **Cost Migrations**: Continuing to win customers leaving expensive cloud warehouses (Snowflake, BigQuery, Redshift) by delivering comparable power at a fraction of the cost.
- **Ecosystem Expansion**: Growing the 70+ partner integrations to cover more data ingestion, transformation, BI, and AI tools.

## Why Work Here
- **Culture & Values**: A globally distributed team (Stretch from Seattle to Amsterdam) that values collaboration, fun (“quacking together”), and building a product that redefines data analytics. Emphasizes creativity, entrepreneurship, and building the future of data.
- **Work Policy**: Remote‑first with physical hubs in Seattle, San Francisco, New York, and Amsterdam. Teams hold regular offsites.
- **Benefits** (from careers page): Competitive compensation and stock options; 100% paid medical, dental, and vision for employees (85% for dependents); flexible time away; 401k plan.
- **Engineering Culture**: Small, high‑impact teams; ownership from day one; opportunities to work on core database technology, cloud infrastructure, and AI integration. Engineers come from Google, AWS, Databricks, Snowflake, and DuckLabs.
- **Open Roles**: 11 active positions as of mid‑2026, including Backend Engineer (Amsterdam, Seattle, SF, NYC), Customer Engineer, Implementation Solutions Engineer, Account Executive, and Business Development Representative. Salary bands: $140K–$260K for engineering roles + equity; sales roles $100K–$260K + commission.

## Sources
1. [motherduck.com (Product Overview)](https://motherduck.com/)
2. [motherduck.com (About Us)](https://motherduck.com/about-us/)
3. [motherduck.com (Careers)](https://motherduck.com/careers/)
4. [linkedin.com (Company Profile)](https://www.linkedin.com/company/motherduck)
5. [builtin.com (Workplace Perception)](https://builtin.com/company/motherduck/faq/workplace-perception)

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