Manager, B2B Growth Marketing
Keeper SecurityFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
The ideal candidate possesses at least 5 years of B2B SaaS marketing experience, with a preference for backgrounds in fraud management, cybersecurity, or identity. Strong proficiency in SFDC, LinkedIn Ads, and Google Ads is required, along with expertise in Google Analytics. Experience with webinar platforms such as Zoom, Webex, or ON24 is necessary. Familiarity with Marketo and Asana is a plus, as is experience in field marketing or demand generation program management. The role demands strong organizational skills, attention to detail, and a process-driven approach. Candidates should be comfortable using AI tools like ChatGPT and possess excellent writing, communication, and collaboration abilities. Adaptability and self-motivation are crucial for success in a fast-paced, distributed team environment.
The Growth Marketing Manager will manage and optimize LinkedIn, Google, and Display Ad campaigns, including planning, launching, and reporting, while owning ad budgets and ensuring alignment with company OKRs and KPIs. Responsibilities include analyzing performance and ROI to drive data-informed decisions and adopting industry best practices. The role involves owning global webinar operations and budgets, managing 2-3 webinars per quarter, and collaborating on content, digital experience, and post-event follow-up to engage audiences. Additionally, the manager will support marketing directors with global event planning and activation, participating in pre-event production processes and seeking opportunities to enhance event strategies. The position also includes providing support for global and regional campaigns, focusing on lead generation, content marketing, and performance tracking, while ensuring alignment with marketing and sales teams.
Real-time fraud detection and prevention platform
Sift provides a platform focused on detecting and preventing online fraud in real-time, catering to clients in e-commerce, fintech, and digital marketplaces. The platform uses machine learning and artificial intelligence to analyze large datasets, allowing it to identify fraudulent activities effectively. One of its standout features is dynamic friction, which ensures that genuine users have a smooth experience while preventing fraudsters from accessing services. Sift's business model is subscription-based, with fees that depend on transaction volume and service level. Additionally, Sift offers services like chargeback management and dispute resolution, which add further value to its offerings. The company's goal is to enhance digital trust and safety for businesses by providing tools that help them make informed decisions and protect against fraud.