
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
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
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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