Growth Marketer, MotherDuck
$130-180k
+ Equity
More information about location
Data analytics platform
Posted today
Data analytics platform
101-200 employees
Posted today
$130-180k
+ Equity
More information about location
101-200 employees
Company mission
To radically transform the data analyst user experience.
Role
Who you are
- We're looking for a creative yet technical marketer... someone who can write the ad copy, build the segment, run the test, and then navigate based on the quantitative signals
- Hands-on experience with Claude Code or similar LLM tooling. This isn't a "used ChatGPT once" bar, we mean you actually build with agents
- A resume with real quantitative results: pipeline contribution, PLG or SLG conversion metrics, cost per activated account/SQA, that kind of thing
- Cross-channel growth experience with genuine technical chops (comfortable in SQL, can run your own cohort analysis and basic stats on test results)
- Background at a high-growth company (data/AI space preferred, but a Ramp-equivalent is fine too)
- 1-3 years in growth, performance marketing, demand gen, or a scrappy generalist marketing role, or a track record of building growth things on your own that speaks for itself
- Great writing, and credibility with a developer and data audience
- A bias toward shipping. If you see something no one owns, that's an opening, not a blocker
- 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
What the job involves
- You'll own growth end to end: paid, organic, lifecycle, experimentation, across every channel we touch, not just one lane. Right now the biggest opportunities on our plate are:
- Conversion hacking across the site and landing pages
- Webinars, from topic strategy and audience segmentation through to pipeline and signup conversion
- Social hacking, working alongside product marketing and DevRel
- AEO (answer engine optimization)
- Re-engagement audience hacking for people who've gone quiet
- Segment testing at scale, from lookalikes to usage-pattern and conversion-pattern based audiences, feeding Google, Meta, LinkedIn and beyond
- But the role isn't limited to that list. You'll have a hand in every part of growth and lifecycle marketing, and you're expected to bring your own ideas about where the next win is, not just execute a queue
- What you'll do:
- Own the full funnel:
- Work both motions: self-serve signups that need to activate and convert, and accounts that need to become sales-qualified pipeline. Neither one is a side project
- Take plays from spec to live: audience, signal, message, channel, landing page, conversion. You get support on strategy and full ownership of execution
- Run experiments like they matter:
- Define the metric, the guardrail, and the sample size before anything ships, not after the data looks interesting
- Do your own analysis: cohort curves, funnel step conversion, segment cuts, time-to-activation, cost per activated account, cost per SQA. SQL against the warehouse, not a screenshot of a dashboard
- Know the difference between a real lift and noise, and say so out loud, even when it's your own play that lost
- Build with agents, not just tools:
- Build agent workflows daily: research, list building, lookalike testing, personalization, creative variants, landing page drafts, competitor monitoring, post-test analysis
- Point agents at our stack (Clay, HubSpot, Apollo, our marketing MCP) so plays run with you supervising, not clicking through every step
- Prototype fast and for real: a scraper, a scoring pass, a signal listener, a one-off page, instead of scoping it out to someone else
- Segment and test relentlessly:
- Wire intent signals (Clay intent, product usage, DuckDB and community activity, job changes, hiring and tooling signals) into plays that feed both self-serve signup and pipeline
- Build LinkedIn and other channel automations: engage motions, Clay-synced ad audiences, retargeting off product and content behavior
- Run a real volume of tests across the funnel: landing pages, signup flow, activation moments, lifecycle and in-product email, outbound messaging, list sources. A high test count is the job, not a sign you're thrashing
- Own social, nurture, and event presence:
- Own social strategy end to end, including managing the social agency
- Own email nurture content and design, with your manager weighing in on strategy and voice
- Scale what works, kill what doesn't:
- Hand proven winners to marketing ops to productionize, then move on to the next unproven thing
- Flag plateaus early instead of keeping a play alive just because it's yours
- What people should be saying if you're doing ducking awesome:
- Your manager: "I stopped worrying about whether the test was set up right months ago."
- Sales: "Growth's signals are actually why we booked that meeting."
- Marketing ops: "I just productionized three of their plays this month and they're already onto the next thing."
- A candidate who interviewed and didn't get the offer: "That was one of the more thoughtful processes I've been through."
- You, to yourself: "That play flopped, here's exactly why, here's what I'm testing next."
Our take
In the increasingly complex landscape of data analytics, the challenges faced in managing and extracting meaningful insights from large datasets are on the rise. Conventional approaches, often involving distributed architectures and petabyte-scale data solutions, can be cumbersome, expensive, and less user-friendly for the majority of users who do not operate at such a large scale.
MotherDuck, recognizing this issue, has emerged as a solution provider with its serverless, user-friendly data analytics platform. Leveraging the power of the open-source database DuckDB, MotherDuck aims to simplify the scale-up approach to SQL analytics, offering a faster, more cost-effective alternative for the 95% of analysts who do not require petabyte-scale data solutions.
Having secured funding in 2023, the company has invested in further enhancing its platform and expanding its user base. MotherDuck continues to collaborate closely with the DuckDB team and integrate user feedback for enhancements. This means it can play a pivotal role in the evolution of serverless data analytics, while combatting common pitfalls that teams come up against as they rely more on AI systems.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Sep 2023
$52.5m
SERIES B
Nov 2022
$35m
SERIES A
Total funding: $100m
Company benefits
- Unlimited Paid Time Off
- 401k plan
- Regular offsites in hub or exotic locations
- 100% paid medical, dental, and vision for employees (plus 80% paid medical, dental, and vision for dependents)
Company HQ
Central Business District, Seattle, WA
Leadership
Jordan Tigani
(CEO & Co-Founder)Previously the CPO at SingleStore. Prior to that, they were a Product Leader, Engineering Leader, and Founding Engineer on Google BigQuery.
Ryan Boyd
(Co-Founder)Currently a Partner at HyperGrowth as well as an Advisor at SparrowLabs. With a background in Coding, Leadership, and Management working at Google, Flux, and Databricks.
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