About Swayable
Swayable is a fast-growing AI and automated data science platform that measures public opinion and the impact of messages and advertising content on it. We are a 40-person team backed by top technology and social impact investors, including Y Combinator. Founded in 2018 by physics PhDs, it is led by the former Executive Director for Digital Strategy at the New York Times. Clients include major consumer-facing brands (American Express, Airbnb, Paramount Pictures), technology companies (Anthropic, Meta, Amazon), academic researchers (MIT, Yale, Stanford) and mission-aligned civic advocacy campaigns (e.g. on climate, human rights and elections).
Joining Swayable means being on a team whose work changes the course of history. The technology we develop is at the leading edge of transforming some of the world's most important campaign organizations and enterprises: combatting disinformation, protecting democracy, and supporting the sustainable growth of consumer-facing brands.
Technology stack
Swayable uses Python (Numpy, Scipy, scikit-learn, Pandas, Celery, Flask), JavaScript (Vue.js, Node.js), MongoDB, and GraphQL.
About the role
Swayable is looking for a mission-driven, fast-learning, and solutions-oriented Technical Support Engineer to support the Client Research Services (CRS) and Technology teams. In this role, you will be the first line of technical support for internal teams, helping streamline technical operations, reduce ticket resolution times, and increase the scalability of our service delivery.
This role is perfect for someone who is excited by problem-solving, improving systems, and collaborating cross-functionally with CRS, Engineering and Product to improve internal tools and processes.
What you'll do:
Triage and resolve technical support tickets submitted by the Client Research Services (CRS) team
Escalate issues to Engineering only when necessary, progressively reducing de
Please mention the word **READABLE** and tag RMTAwLjUyLjIyOS4yMTU= when applying to show you read the job post completely (#RMTAwLjUyLjIyOS4yMTU=). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.