AI Operations Lead

Rain•New York, NY

2d•$150,000 - $220,000•Hybrid

About The Position

As a core member of Rain’s Internal AI team, the AI Operations Lead will help the company build leverage and become AI-native. The role sits at the intersection of building and enablement, working across teams to address bottlenecks with AI agents, apps, and workflows while empowering teams to do the same. The role uses product, data, and AI-building expertise to accelerate the company as it scales and supports foundational AI systems, tooling, and primitives. The position involves auditing team workflows, prioritizing automation opportunities, and translating business pain points into a roadmap with clear ROI. The role owns AI-powered solutions end-to-end, from prototype through production, and helps drive adoption through enablement, documentation, and internal champions. It also establishes success metrics, tracks adoption and business impact, and contributes documentation, skill and agent libraries, standard operating procedures, and governance frameworks for building and deploying AI tools reliably.

Requirements

3–6 years of experience in product management, product operations, forward-deployed or solutions engineering, technical program management, or a similar role solving problems with technical solutions.
Demonstrated experience using AI to build, ship, and accelerate work, including the ability to take an ambiguous problem and deliver a working solution without waiting for an engineering team.
Technical fluency with low-code/no-code and development tools such as Claude Code and Cursor, SQL and BI tools, APIs, scripting, and integrations.
Ability to partner with teams to understand challenges, use data to prioritize opportunities, deliver results, and measure impact.
Excellent communication skills, including managing expectations and alignment across competing priorities, explaining technical concepts to nontechnical stakeholders, and translating business requirements into technical specifications.
Ability to create clarity through SOPs, templates, standards, and structured knowledge for people and agents.
Comfort working with ambiguity and speed in a fast-paced startup environment, with high agency and initiative.

Nice To Haves

Experience at a Series A–C or other high-growth startup, or experience as a founder.
Familiarity with compliance, finance, or payments workflows.
Experience with workflow orchestration and integration architecture, including webhooks, authentication flows, and data pipelines.
Background in change management or internal enablement programs.
Experience with data platforms such as Google Cloud or DBT, or with data modeling.
Track record of driving measurable adoption of internal tools or processes.
Experience building internal knowledge bases, technical SOPs, or developer-facing documentation.

Responsibilities

Audit workflows across teams to identify high-impact automation and AI opportunities.
Translate business pain points into a prioritized roadmap with clear ROI.
Design and deploy AI-powered agents, apps, and workflows using code and no-code tools; own solutions from prototype to production.
Partner with teams to build an AI-first culture by running enablement sessions, creating documentation, and developing internal champions.
Define success metrics, track performance and adoption, demonstrate business impact, and iterate using data and feedback.
Develop foundational AI primitives, including documentation, skill and agent libraries, standard operating procedures, and governance frameworks.

Benefits

Unlimited time off, with a requirement to take at least 10 days.
Flexible working arrangements, including working from home, from an office, or both.
Stipend for new employees to set up a home workspace.
For US employees, company covers 95% of health, dental, and vision plan costs and 90% for dependents.
Company-subsidized life insurance plan.
401(k) with a 4% company match.
Equity option plan.
Monthly health and wellness spending stipend.
Lunch and dinner covered with a DoorDash credit for employees working from the office.
Domestic and international team and company offsites.