Partner Success Manager, Co-op New NYC, NY ​/ Reno, NV ​/ Remote, US

The true B2B data pioneer, Bombora connects the B2B ecosystem in a one-of-a kind Data Cooperative—enabling a holistic view of an account’s research and consumption behavior. From this data, Bombora derives actionable insights that make it possible for brands, agencies, and publishers to identify, understand, and identify their prospects and customers, throughout the buyer and user experience, across the activation platforms of choice.

As a Partner Success Manager will be on the front lines of client success, managing direct communication with our publisher partners via daily outreach, client meetings, and driving strategic initiatives through in-depth data storytelling. This role focuses on driving growth, retention, and satisfaction for partners while aligning their success with Bombora’s objectives.

The Data Co-op team showcases what is possible with intent data and delivers on that promise directly to our Data Co-op publishers. We are learning every day and serve as the trusted data expert for an endless number of publisher use cases. This role embraces emerging technologies, including AI, as a way to rethink how we work and how our partners derive value from Bombora data.

The Partner Success Manager will be expected to demonstrate AI fluency, curiosity, and experimentation, using approved AI platforms and AI-enabled workflows to accelerate analysis, improve partner experiences, identify new use cases, and create efficiencies for both our publishers and the internal Co-op team.

You will….

• Work directly with publisher partners from a named account list as their main point of contact to grow deeper relationships across a variety of departments—sales, media planning, marketing, content, and research—helping partners identify new revenue streams and opportunities to expand their business using the company’s products or solutions.
• Facilitate rapid deployment and time-to-value with the adoption of Bombora resources for new ‘roadmap’ partners from a named account list, with a goal of 90 days to 6 months (depending on use case) for primary use case adoption.
• Tell stories with data and innovate publisher capabilities for advertising, content marketing, events, and yield optimization to ensure engagement and adoption of Bombora’s products and services.
• Operates as a primary support resource to partners on the named account list in various ways, including onboarding new publisher partners, product training, consultation, audience data analysis, data integration, and 3rd party platforms. Engage the appropriate subject matter expert support and technical resources where necessary.
• Execute data programs on behalf of partners from the named account list, including creating audience segments, analyzing topic trends, and integrating data into new platforms. Engage the appropriate subject matter expert support and technical resources where necessary.
• Actively address issues or challenges that may arise between the company and its partners, ensuring that problems are resolved quickly and effectively. Manage escalations, offering solutions and aligning resources to resolve complex problems when possible.
• Working closely with the Head of Global Data Partnerships to support revenue achievement objectives with commercial partners on the named account list.
• Work with the team to manage and achieve performance metrics (adoption rates, contribution scores, etc.).
• Strategically collaborate with publishers and internal teams to identify and develop new ways of using Bombora data, including AI-enabled solutions and workflows, that increase partner engagement and adoption, accelerate time-to-value, and/or create measurable operational efficiencies.
• Apply AI platforms, including Gemini, Claude, ChatGPT, and emerging AI or agentic capabilities, to publisher-specific projects, research, analysis, data storytelling, and problem solving.
• Look beyond individual tasks to identify repeatable workflows and opportunities where AI can improve the quality, speed, or scalability of work.
• Experiment thoughtfully with AI to prototype new approaches to publisher use cases and internal workflows, sharing successful practices, prompts, workflows,…