Jobs at Swayable

This is a general submission role inviting resumes for potential fits in various unspecified positions.

The Sales Director will lead revenue generation from brands and agencies, manage relationships, strategize, and meet sales goals while using CRM software to track progress.

Conduct research pushing experimental and causal-methodologies in public opinion, develop tools and prototypes to analyze experimental data, and communicate findings to internal teams and clients to inform platform features and insights.

Conduct data science research on experimental methodologies and causal modeling, develop tools to analyze experimental data, prototype improvements to platform features, and communicate results to internal teams and external stakeholders to drive product and research decisions.

Conduct data science research advancing experimental and causal methodologies; develop robust tools and prototypes to analyze experimental data; improve core platform features; and communicate findings to internal teams and external stakeholders to drive insights and product improvements.

This role involves selling Swayable's analytics platform to brands and agencies, developing account strategies, and meeting sales goals, while fostering strong client relationships.

The Client Success Director will lead strategic pre-testing programs, advise enterprise clients on content testing, and collaborate with sales to enhance client satisfaction and drive growth.

The Controller will oversee financial operations, ensure accurate reporting, manage accounting systems, payroll, and lead audits in a fast-paced SaaS environment.

The Sr. Client Success Manager will enhance brand narratives for enterprise clients, develop strategic pre-testing programs, drive upsell opportunities, and ensure client satisfaction through advising and support.

The VP Marketing will lead and scale all marketing functions, focusing on demand generation, events, and brand strategy while engaging with enterprise clients.

The Product Manager will develop innovative AI features, collaborate with cross-functional teams, utilize data analytics for decision-making, and engage with the AI community.

The Senior AI/ML Engineer will develop and improve analytical tools, approaches, and architecture for scalable AI and machine learning solutions, collaborating with engineers and data scientists on innovative projects.