ABOUT THE COMPANY

Swayable is a fast-growing, cloud analytics product that measures public opinion and the impact of messages and advertising content on it. It is a 30-person team backed by top technology and social impact investors, including Y Combinator. Founded in 2018 by two physics PhDs, it is led by the former Executive Director for Digital Strategy at the New York Times. Clients include major consumer-facing brands (Amazon, Airbnb, Square, Paramount Pictures), technology companies (Meta, Google), researchers (MIT, Yale, Stanford) and mission-aligned advocacy campaigns (including multiple Democratic Presidential candidates).

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.

ABOUT THE ROLE

Swayable is looking for a high-performing, fast-learning, and energetic Client Success Associate for a contract to hire position to support client relationships, insights, and expansion. In this role, you will advise our clients as they adopt Swayable’s innovative tools to support their mission.

PRIMARY RESPONSIBILITIES

• Advise clients on designing content tests
• Setup, run, and interpret results of content tests
• Identify and develop ways to support your clients by bringing the best of Swayable's products and pushing our product development as needed
• Build strong relationships with your clients with the goal of ensuring satisfaction, adding value, and improving usage.

WHAT YOU’RE LIKE

• 2+ years of professional experience
• Comfort in client-facing roles, ideally in a client success or client services role
• College degree in a relevant field: STEM, communications, statistics, business, history, public policy
• Ability to bring a consultant mindset to your client interactions, with critical thinking, problem solving and ongoing support
• An analytic mindset with the ability to synthesize data (Excel required, Python a plus)
• Comfortable presenting to clients on a regular basis
• Excellent attention to detail and quantitative reasoning skills
• Excellent project management: able to self-manage and prioritize
• Solid understanding of statistics and/or a willingness to learn. For example, explaining what an 80% confidence interval means.

WHAT YOU’LL GAIN

• Strong project management and client leadership skills
• Exposure to cutting edge technology and research methodology through the Swayable Platform
• Insight into content creation and messaging techniques that influence modern day marketing
• Relationships with world client class, many of which are major consumer-facing brands and technology companies (Amazon, Meta, Square, Paramount Pictures)
• Experience working collaboratively in a small-team start-up environment, partnering with data science, product, and sales
• Comfort with advanced data analytics, synthesis, and storytelling

THE TEAM

You will be joining the Advanced Services Team at Swayable, which leads the highest value enterprise client relationships for the business. This includes large consumer facing brands (Amazon), as well as technology brands (Meta), and creative agencies (OMD Group). We are the primary interface between our clients and the product. We have a strong team culture with an emphasis on professional development. We have routine check-ins, regular two-way feedback and goal setting, and monthly retrospectives. Our team operates as a support network, where we regularly step in to help each other out.

LOCATION

The Advanced Services team is based in New York and San Francisco.

We are an equal opportunity employer. We strive to promote an organizational environment that values diversity and fosters growth. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other basis prohibited by law. The team especially encourages applicants from underrepresented backgrounds.