Growth Marketer

Dont let the quirky name fool you: At MotherDuck were 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. Were 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.

Were 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. Youll 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 whove 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 isnt limited to that list. Youll have a hand in every part of growth and lifecycle marketing and youre expected to bring your own ideas about where the next win is not just execute a queue.

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 its 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 youre 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 doesnt

• 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 its yours.

• Hands-on experience with Claude Code or similar LLM tooling. This isnt 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 thats an opening not a blocker.

• Your manager: I stopped worrying about whether the test was set up right months ago.

• Sales: Growths signals are actually why we booked that meeting.

• Marketing ops: I just productionized three of their plays this month and theyre already onto the next thing.

• A candidate who interviewed and didnt get the offer: That was one of the more thoughtful processes Ive been through.

• You to yourself: That play flopped heres exactly why heres what Im testing next.

Does this role sound appealing to you but youre missing some of the requirements or dont quite think youre qualified Please apply anyway. Research has shown that underrepresented groups in technology often shy away from roles which arent 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.