Growth Manager, Paid Advertising ($140K-$185K) at DOSS

Help Wanted

Jack & Jill

Salary
$140K-$185K
Job Type
Full Time
Date Posted
September 15, 2026
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Job Title

Growth Manager, Paid Advertising

Salary

$140K-$185K

Company Description

DOSS is a $55M Series B AI-native operations platform replacing legacy ERPs like NetSuite for mid-market brands, backed by Madrona, Premji Invest, and General Catalyst.

Job Description

You will own paid acquisition end-to-end at DOSS, managing strategy and hands-on execution across Google, LinkedIn, and Meta. Working directly with the Director of Growth, you'll scale budgets from $250K/quarter while running rigorous experiments to drive high-quality pipeline for a rapidly growing GTM team in a high-leverage, AI-native environment.

Location

San Francisco, USA

Why this role is remarkable

Join a hyper-growth Series B startup that has grown from 10 to 100 people in two years, with 70% of revenue driven by marketing.

Enjoy high autonomy and zero bureaucracy as the sole owner of paid channels, scaling budgets fast with a focus on volume and pipeline impact.

Work alongside elite leadership and investors including Madrona and Theory Ventures to disrupt the $100B+ legacy ERP market with modern AI.

What You Will Do

Execute end-to-end paid strategy across Google, LinkedIn, and Meta, managing everything from campaign structure and bidding to ad copy and landing pages.

Scale quarterly ad spend from $250K while maintaining a rigorous experimentation loop to identify new winning channels and creative formats.

Collaborate with product marketing and sales to optimize lead quality, ensuring paid efforts translate directly into qualified pipeline for the AE team.

The ideal candidate

Brings 5+ years of experience running paid ads across multiple channels with a proven track record of managing $1M+ annual budgets.

Possesses a hands-on "builder" mentality, capable of taking channels from a blank slate to a scaled program without relying on external agencies.

Demonstrates a scientific approach to marketing, using clean hypotheses and deep funnel analytics to distinguish between leading and lagging performance indicators.

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