Growth Marketer

Sunset sunsethq.com Open

New York Full-time Mid-level Growth Marketing

At a glance

Mid-level Growth Marketing role at Sunset. New York · full-time · $175,000–$235,000 base.

SalaryStated by Sunset

$175,000 – $235,000

Base salary for this role, in USD per year, as published in the posting.

This role, from SunsetOur estimate for the market: $109,063–$161,250Median $137,500

Above the market median of $137,500 for mid-level growth marketing roles in New York.

Worked out from 99 postings that stated pay, median $137,500. Last updated Nov 7, 2026.

RoleGrowth Marketing

SeniorityMid-level

LocationNew York

EmploymentFull-time

Base pay$175,000–$235,000

PostedJul 20, 2026

Role brief

growthroles summary, based on the employer's posting.

What you'll do

Set the acquisition channels, test them, and scale the ones that produce results
Bring in qualified marketing leads for both Wind-down and Data Partnerships
Use AI tools to make and launch landing pages, campaigns, and workflows without waiting on other teams
Track your own outcomes, then quickly cut weak tests and invest more in successful ones

What you bring

At least three years in growth or performance marketing, preferably with end-to-end channel ownership at an early-stage company
You can build landing pages, workflows, and automations yourself with AI tools
You can judge performance from your own data and make calls when information is incomplete

Who this fits

This suits a hands-on marketer who enjoys testing a range of channels and building without an established playbook. You’ll work from the Dumbo office in person five days a week.

From the employer

About Replay

We are building the first-ever bank for enterprise data. There are over 35 million businesses in the US alone, many of which are sitting on an asset they don’t know they have. At Replay, we help businesses monetize their historical operating data by licensing it to the frontier AI and data labs for model training. Replay sits at the intersection of advancing the frontier of AI, while helping companies generate millions in growth capital without having to give up equity, take on debt, or lay off employees.

Why join Replay now:

We've scaled from $0 to a multi eight-figure run rate in a matter of months
We've raised from top-tier investors (Floodgate, Afore, Ludlow, Hustle Fund, etc.)
We're small enough that you'll carry outsized responsibility and grow as fast as the company does
You'll partner and build for the fastest and most important companies in the world
You'll be a part of building a massive, category-defining business from the ground floor

The Role

The majority of our pipeline comes from referrals: VCs, lawyers, founders, CFOs who we’ve built partnerships with. That's worked, but we need to grow even faster and with more predictability. We're looking for a Growth Marketer to build an acquisition engine across both of our motions: Wind-down and Data Partnerships. You'll own top-of-funnel growth end-to-end, experimenting across paid, SEO/AEO/GEO, content, web, and more to find what actually works, then scale it.

What You'll Do

Own top-of-funnel growth end-to-end: pick channels, run experiments, and scale what works
Generate qualified marketing leads (MQLs) for both our Wind-down and Data Partnerships motions
Build and ship your own landing pages, campaigns, and workflows using AI tools, rather than waiting on a dedicated design or engineering team
Make fast calls with incomplete data: kill what's not working quickly, double down on what is
Track and report your own results honestly, since experimentation is worthless without real measurement

How You'll Be Measured

Number of marketing qualified leads generated

Required aptitude

You're excited about building in-person, 5 days a week, from our office in Dumbo
You want to work hard and strive for world-class levels in performance
3-5+ years in growth or performance marketing, ideally somewhere early-stage where you owned channels end-to-end
You thrive in ambiguity: no fixed playbook exists yet, and you're comfortable making fast decisions with incomplete data
Creative and technical self-sufficiency: you build real things yourself (landing pages, workflows, automations) with AI tools, rather than briefing someone else
Genuine experimenter: breadth over narrow-channel depth, always testing something new
Data-literate: can read your own results well enough to know what's actually working