Updater is hiring for work from home roles

Updater

5 Remote Job Openings at Updater

Senior Marketing Designer (Part-Time Contract)

Updater · Full Time · 9 hours ago
Updater
🌎 United States 💵 $95 - $105 per hour ⭐ 5-10 yrs exp 💼 Design
The role focuses on translating complex B2B products and technical concepts into compelling visual stories and scalable brand experiences. Responsibilities include designing go-to-market assets, sales presentations, and establishing design systems to maintain brand consistency.

IT Engineer

Updater · Full Time · 4 days ago
Updater
🌎 United States 💵 $80000 - $100K per year ⭐ 2-5 yrs exp 💼 Software Development
Serve as the primary point of contact for IT support and lead the company's IT knowledge management program. Manage Tier 2 systems administration across the SaaS stack and author machine-readable documentation for human and AI use.

Sr. Strategic Partnerships Manager

Updater · Full Time · a month ago
Updater
🌎 United States 💵 $113K - $130K per year ⭐ 5-10 yrs exp 💼 Others
Own and scale a portfolio of high-impact service provider partnerships, ensuring seamless integration and performance within the Updater platform. Manage day-to-day execution, monitor KPIs, and optimize monetization strategies to drive sustained growth.

Corporate Development Director

Updater · Full Time · 2 months ago
Updater
🌎 United States 💵 $250K - $280K per year ⭐ 10+ yrs exp 💼 Others
The Corporate Development Director will lead the company's growth agenda by sourcing, evaluating, and executing strategic acquisitions and partnerships. They will serve as a key advisor to the executive team, managing the full deal lifecycle and overseeing post-merger integration.

VP, Data

Updater · Full Time · 3 months ago
Updater
🌎 United States 💵 $275K - $310K per year ⭐ 10+ yrs exp 💼 Others
This leader will own the long-term data strategy, defining and evolving the end-to-end data architecture across various business events while building data systems for accurate revenue modeling and fraud detection. Key duties also involve reducing time-to-insight, building and scaling a high-performing data engineering organization, and serving as a trusted cross-functional partner.