AI-Powered BizOps Leader: Transformation & Growth

Rillet; New York (NY); Hybrid; USD 110,000 - 150,000; Full time

Benefits offered by this job

Competitive pay

Meaningful equity

Benefits that support you

Job summary

Rillet is seeking a Business Operations hire who builds with AI, not just talks about it. You will partner with Sales, Partnership, Customer Success, and Deployment leaders to rethink how teams operate and drive real transformation.

The role rewards initiative, ownership, and hands-on execution in a fast-growing AI-driven environment. The position requires 3–5 years of top-tier consulting or VC/PE experience, followed by an operating role at a startup building AI-powered systems.

Qualifications

• Experience with AI-powered systems, tools, or processes.
• Proven ability to define and deliver transformation in fast-paced startups or consultancies.
• Strong communication and problem-solving skills.
• Able to speak concretely about the problem, approach, tech stack, and outcomes.
• Fluent with current AI tooling and rapid adoption to real workflows.

Responsibilities

• Define AI transformation for teams with function leaders.
• Drive step-change improvements in ways of working, beyond automations.
• Own end-to-end execution from framing problems to daily operations.
• Drive adoption until teams actually change how they work.
• Collaborate with AI engineering to leverage the AI infrastructure.
• Lead high-visibility BizOps projects, including investor reporting and GTM analysis.

Skills

AI transformation

End-to-end ownership

Data-driven

Travel willingness

Tools

AI tooling

Job description

Rillet is seeking a Business Operations hire who builds with AI, not just talks about it. You will partner with Sales, Partnership, Customer Success, and Deployment leaders to rethink how teams operate and drive real transformation.

The role rewards initiative, ownership, and hands-on execution in a fast-growing AI-driven environment. The position requires 3–5 years of top-tier consulting or VC/PE experience, followed by an operating role at a startup building AI-powered systems.