Realize your potential by joining the leading performance-driven advertising company!

As a Business Systems & Solutions Specialist on the Information Systems team in our New York office, you’ll play a vital role in partnering closely with Sales and Account Management teams to design, build, and implement CRM, automation, and GenAI-powered solutions that improve day-to-day workflows, accelerate productivity, and help the business scale more effectively.

To thrive in this role, you'll need:

• 2–5+ years hands-on experience working inside a CRM or similar business system, including building workflows and automations
• Strong understanding of sales or go-to-market business processes and how systems support them
• Experience implementing GenAI solutions for business users (configuration, applied use cases, or integrations)
• Ability to work autonomously, take ownership of deliverables, and collaborate effectively with a manager based in a different time zone

Bonus points if you have:

• Light scripting or coding experience (e.g., Python)
• Familiarity with SQL/SOQL

How you’ll make an impact:

• Partner with Sales, Account Management, and Business Operations to understand business processes and translate needs into system-based solutions
• Design, configure, and maintain workflows and automations within CRM and related business systems (e.g., Salesforce, HubSpot, Dynamics)
• Build and maintain workflows, automations, and process improvements using low-code / no-code tools (drag-and-drop workflows, rules, formulas, etc.)
• Implement and configure GenAI-powered solutions to support business users, such as:
  • AI-driven prospecting or personalization workflows
  • Prompt-based automations and content generation
  • Integrations with GenAI platforms or APIs (e.g., OpenAI, gemini enterprise tools, CRM-native GenAI features)
• Learn and onboard new tools quickly, implementing best practices and adapting solutions as business needs evolve
• Collaborate with global Information Systems and Integration/Development teams on cross-functional initiatives
• Support rollout, adoption, and continuous improvement of implemented solutions with business stakeholders

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

• Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.
• Well-being: Enjoy comprehensive benefits (health, dental, vision, 401k matching), pre-tax commuter benefits, a fully stocked kitchen, and various gym partnerships.
• Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Work with some of the biggest names: Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, Expedia and Honda.

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need. You can access our US Candidate Privacy Policy here.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

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