Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees?
Syndio is a Series C technology company leveraging advanced technology and responsible AI to accelerate decision-making, streamline compliance, and democratize insights for consistent, equitable compensation practices at scale. Backed by $83M in investments from Bessemer Venture Partners, Voyager Capital, and Emerson Collective, we are expanding our team and products to help companies align their rewards strategies with their business goals.
Our customers are our greatest asset. Syndio partners with many of the world’s most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance. We analyze pay for over 10 million employees across dozens of countries, ensuring fair, defensible rewards that drive better business outcomes.
Join us in our mission to help companies make smarter pay decisions they can trust

ABOUT THE ROLE

We are looking for a Director of Applied AI to lead our Applied AI team of combined Backend and Machine Learning engineers, at a pivotal moment in our evolution. In this role, you’ll ship AI systems to production: building agents, deploying models, and integrating LLMs to help customers and internal users make faster, fairer, and more confident decisions. You’ll guide a team of high-performing engineers while also playing a key role in shaping the technical architecture of our platform.
You will join Syndio at an exciting moment, as we build our vision of Intelligent Pay, an AI native compensation recommendation platform. Your guidance and collaboration in building scalable software engineering solutions for our product suite will have a meaningful impact in helping companies achieve fairness in the workplace.

ROLE PROGRESSION

• Within 1 month, you’ll be working on projects in partnership with data science, product and engineering, understand the strengths and weaknesses of our current engineering team and understand our strategy for the intelligent pay product vision.
• Within 3 months, you’ll be shipping value to customers, mentoring team members, and helping define engineering processes and MLOps best practices.
• Within 6 months, you’ll be celebrating with the team as we ship new, high-impact AI capabilities—and be shaping our roadmap for what’s next in Intelligent Pay and beyond.