--- title: 'Growth Marketer / GTM Engineer at MotherDuck' canonical: 'https://feeny.ai/job/growth-marketer-gtm-engineer-motherduck-san-francisco-qzxheta9ktqg' type: 'job' last_seen: '2026-11-01' --- # Growth Marketer / GTM Engineer at MotherDuck - **Company:** MotherDuck - **Location:** San Francisco, CA - **Compensation:** $130k–$180k - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-10-28 - **Last confirmed live:** 2026-11-01 - **Apply:** https://jobs.ashbyhq.com/motherduck/20df87d4-bcb0-42d3-b302-7266fe0830da ## 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. ## About the role We're hiring a growth marketer with a hacker brain to own the systems that make our growth engine run... lifecycle, marketing ops, and the data and automation underneath both. If you're the person who looks at a list of signups and immediately wonders what you could learn by enriching it, splitting it five ways, and testing a different nurture on each... we'd love to meet you. You'll build the segments, lists and audiences everything else depends on, hack and build growth agents, run Clay like a product you own, and use data to push our lifecycle programs 10x further than they are today. This isn't a role where you wait for a ticket. You'll spot the next enrichment worth testing, propose the workflow that saves the team ten hours a week, and ship it. Some folks call this kind of work go-to-market engineering. We think of it as lifecycle marketing with real technical chops. ## What you'll own Lifecycle marketing, the backbone - Become the team's expert on our audiences, and build the segments, lists and audiences that every email, campaign, webinar and nurture runs on - Design lifecycle programs across signup, activation, re-engagement and expansion, and test them relentlessly with real data - Use product usage and conversion patterns to decide who gets what message, when, and on which channel - Report honestly on what moved the number and what didn't... including your own tests Growth agents and Clay - Own Clay end to end. You're the person who pushes it forward, not someone who has access to it - Test new enrichments, scoring and signals, keep what works and kill what doesn't - Build growth agents and automated workflows that let a three-person team move like a much bigger one - Feed better audiences to Google, Meta, LinkedIn and email, in partnership with the performance marketer Marketing ops - Configure webinars and forms, and run the ops side of events: registration flows, segmentation, follow-up and handoff to sales - Keep our tools, data and routing clean so the team trusts what they see - Proactively propose improvements to how we work. If something's slow, manual or broken, we expect you to say so and fix it What people should be saying if you're doing ducking awesome - "I didn't ask for that segment, but it's exactly what I needed for the campaign." - "Every audience I get from them converts better than the last one." - "The leads from the webinar showed up enriched, routed and ready to go. I didn't have to dig for anything." - "Wait, marketing built that agent? Can we borrow it?" - "Clay does things now nobody thought it could, and our lifecycle emails actually get replies." ## What we're looking for - You want to hack and build growth agents. This is the heart of the role. You've used Claude Code, agents or similar tooling to automate real growth work, and you're itching to build more - A passion for understanding user groups. You want to be the expert on our audiences... who they are, how they behave, and how to segment them so every email and nurture lands with the right people - A systems brain. You see marketing as a set of inputs, workflows and feedback loops, and you love making them run better - Lifecycle experience with numbers attached. You've owned segments, nurtures or re-engagement programs and can tell us what they did to activation, pipeline or revenue - Proactive by default. You find the next test, enrichment or fix before anyone asks - High-growth company background, ideally somewhere with a technical or developer audience - Honest about results. You'll call out a losing test, including your own, as quickly as a winner - Clay experience, ideally a workflow you built and can walk us through - HubSpot experience at the workflow and data level - Comfortable pulling and analyzing your own data, SQL included - Webinar or event ops experience tied to pipeline - Familiarity with data practitioners or developers as an audience Our Interview Process We like to keep things transparent, so here's what to expect if you apply... - Discovery call with our recruiting team to get acquainted and make sure we're a mutual fit - A conversation with our Growth lead to learn about the systems you've built, how you think about audiences and segments, and what excites you about growth agents - A deeper conversation with our Growth team covering lifecycle strategy, how you'd test and measure a program, and a walkthrough of a workflow or agent you've built - A final conversation with our CEO focused on values and vision 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) ## Other roles at MotherDuck - [Product Marketing Manager](https://feeny.ai/job/product-marketing-manager-motherduck-seattle-bpbaqb05cwwn) — Seattle, WA - [Software Engineer - Database](https://feeny.ai/job/software-engineer-database-motherduck-berlin-v0ew20f2gr12) — Berlin, Germany - [Software Engineer - Database](https://feeny.ai/job/software-engineer-database-motherduck-new-york-1sefxqs5x7kx) — New York, NY - [Growth Marketer](https://feeny.ai/job/growth-marketer-motherduck-san-francisco-2ek5n4asd1ff) — San Francisco, CA - [Software Engineer - Database](https://feeny.ai/job/software-engineer-database-motherduck-amsterdam-azwtdq406ehc) — Amsterdam, Netherlands - [Business Development Representative](https://feeny.ai/job/business-development-representative-motherduck-new-york-awckajrq231d) — New York, NY