Why Choose Bottomline?

Are you ready to transform the way businesses pay and get paid? Bottomline is a global leader in business payments and cash management, with over 35 years of experience and moving more than $16 trillion in payments annually. We're looking for passionate individuals to join our team and help drive impactful results for our customers. If you're dedicated to delighting customers and promoting growth and innovation - we want you on our team!

Work Authorization

Candidates must be authorized to work in the United States on a full-time basis without restriction. Visa sponsorship or transfers are not available for this position.

Role Summary

The AI Enablement Analyst will support Revenue Operations by helping bring AI-powered tools, agents, analytics, and automation into the day-to-day workflows of Paymode's Sales organization.

This is a hands-on role at the intersection of Sales, Revenue Operations, data, and AI. You will help identify high-impact AI use cases, prepare and structure trusted data, deploy and test AI-enabled solutions, and drive adoption across revenue-generating teams.

You will serve as a bridge between Sales stakeholders, Revenue Operations, data teams, and AI technologies, translating business needs into practical, scalable solutions. Your work will help ensure the data powering AI models and automations is accurate, governed, and reliable while enabling faster insights, reducing manual work, and improving how our teams operate.

This is an opportunity to directly influence how people, data, AI, and technology come together to support revenue growth.

How you'll make an impact

Identify and implement AI and automation use cases that improve Sales and Revenue Operations workflows, reporting, and efficiency.
Support the end-to-end deployment of AI agents for Sales teams, including use-case definition, requirements gathering, testing, deployment, and adoption.
Prepare, structure, and maintain data used by AI applications, including reusable datasets and semantic models.
Monitor and improve data quality, consistency, and governance to support trusted AI-driven insights.
Enable AI-powered and self-service analytics that help business users access insights and make decisions more quickly.
Partner with Sales, Revenue Operations, and technical teams to translate business challenges into scalable data and AI solutions.
Evaluate and prioritize AI and automation opportunities based on business need, feasibility, and potential impact, with a focus on reducing manual processes and scaling Revenue Operations capabilities.
Ensure AI initiatives align with enterprise governance, risk, security, and compliance standards.
Validate AI-generated outputs and help establish processes for monitoring accuracy, reliability, and business value.

What will make you successful

0–3 years of experience in data analytics, business intelligence, Revenue Operations, business analysis, or a related field. Relevant internships, co-ops, academic projects, and hands-on AI/data projects may also be considered.
Working knowledge of SQL and foundational understanding of data modeling, with the ability to work effectively with structured datasets.

Experience or hands-on exposure to structured datasets and data-driven solutions through professional, academic, internship, co-op, or project-based work.

Experience or exposure to business intelligence and data platforms such as Power BI, Snowflake, or similar technologies.
Exposure to AI tools and technologies, including Microsoft Copilot or similar generative AI tools, AI agents, natural-language querying, AI-assisted analytics, or AI-powered workflow automation.

Ability to evaluate an AI use case from initial business need and experimentation through testing, deployment, and adoption.

Awareness of data quality and responsible AI considerations, including governance, risk, security, and compliance.
Strong analytical and problem-solving skills, with the ability to translate business requirements into practical technical solutions.