Oscilar Inc. logo

Brand Marketing Manager

Job Overview

Location

Remote

Job Type

Full-time

Category

Marketing

Date Posted

July 21, 2026

Full Job Description

📋 Description

  • Develop and launch innovative brand marketing programs to increase Oscilar's visibility and reputation.
  • Own flagship initiatives such as our Risk Leaders of the AI Era program and develop new creative ways to engage the market.
  • Partner with Communications to amplify company announcements, product launches, customer stories, and thought leadership.
  • Work with Product Marketing to ensure campaigns reinforce our positioning and category leadership.
  • Collaborate with the Events team to create memorable experiences before, during, and after conferences.
  • Leverage AI extensively to increase the speed, quality, and scale of marketing execution.
  • Launch multiple experiments every quarter, measure results, double down on what works, and quickly iterate on what doesn’t.
  • Build repeatable systems and playbooks that enable the brand function to scale.

🎯 Requirements

  • 5+ years of experience in Brand Marketing, Integrated Marketing, Demand Generation, Product Marketing, or Growth Marketing at a B2B SaaS company.
  • Track record of launching creative marketing programs that increased awareness, engagement, or market presence.
  • Experience executing integrated campaigns across multiple channels.

🏖️ Benefits

  • Opportunity to build the brand from the ground up and establish Oscilar as a leading brand in AI-powered risk decisioning.
  • Direct impact on company growth and visibility.
  • Autonomy and ownership to launch and execute innovative marketing programs.
  • Collaborative and dynamic work environment with a talented team.
  • Opportunity to work with world-class investors and industry leaders.

📍 Location

  • Remote
  • US Only

Skills & Technologies

Kafka
Remote

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Oscilar Inc. logo
Oscilar Inc.
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About Oscilar Inc.

Oscilar provides a no-code risk decisioning platform that enables fintechs and banks to build, test, and deploy real-time fraud prevention and credit risk models. The system centralizes identity, transaction, and alternative data, applies machine-learning rules, and offers continuous monitoring and explainable decisions. It is designed for product managers and analysts to reduce charge-offs, false positives, and manual reviews without engineering support.

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