AI Operations Lead

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Lead Rain’s Internal AI efforts at the intersection of building and enablement. Diagnose and prioritize high-impact automation opportunities, then design and deploy AI-powered agents, apps, and workflows end-to-end from prototype to production. Drive AI adoption through enablement, documentation, and internal champions, while establishing operational rigor with success metrics. Support Rain’s foundational AI primitives like governance frameworks, SOPs, and reusable skill/agent libraries.

Location: New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Business Operations

Seniority: Mid level

Key Responsibilities

•Proactively audit workflows across teams to identify and prioritize the highest-impact automation and AI opportunities, translating pain points into an ROI-focused roadmap.
•Design and deploy AI-powered agents, apps, and workflows using a mix of code/no-code tools, owning solutions end-to-end from prototype to production.
•Partner with teams to drive an AI-first culture by running enablement sessions, creating documentation, and building internal champions.
•Define success metrics, track performance and adoption, demonstrate business impact, and iterate based on data and feedback.
•Develop AI foundation primitives such as documentation, skill/agent libraries, standard operating procedures, and governance frameworks.

Pay and Benefits

Salary: USD 50,000 - 999,000 annually

Perks:Paid LeaveHealth InsuranceDentalVision401k

Key Requirements

•Deep and demonstrated experience using AI to build, ship, and accelerate work, including taking ambiguous problems to working solutions.
•Strong technical fluency with low-code/no-code tooling, development tools (Claude Code, Cursor), SQL/BI tools, APIs, scripting, and integrations.
•Ability to partner with teams as an analytical and empathetic problem-solver—using data to prioritize and measure impact.
•Excellent communication skills to translate technical concepts for non-technical stakeholders and translate business requirements into technical specs.
•3–6 years of experience in product management, product ops, forward deployed/solutions engineering, technical program management, or a similar technical problem-solving role.

Experience:3-6 years

Skills:Problem-solvingCommunicationAnalytical thinkingStakeholder managementDocumentation

Tech Stack:AI agentsClaude CodeCursorSQLBI toolsAPIsScriptingIntegrationsWebhooksAuth flowsData pipelinesGoogle CloudDBTData modelingLow-codeNo-codeGovernance frameworks

Company Brief

Rain

Website

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Rain

2 months ago

AI Operations Lead

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Business Operations

Seniority: Mid level

Key Responsibilities

•Proactively audit workflows across teams to identify and prioritize the highest-impact automation and AI opportunities, translating pain points into an ROI-focused roadmap.
•Design and deploy AI-powered agents, apps, and workflows using a mix of code/no-code tools, owning solutions end-to-end from prototype to production.
•Partner with teams to drive an AI-first culture by running enablement sessions, creating documentation, and building internal champions.
•Define success metrics, track performance and adoption, demonstrate business impact, and iterate based on data and feedback.
•Develop AI foundation primitives such as documentation, skill/agent libraries, standard operating procedures, and governance frameworks.

Pay and Benefits

Salary: USD 50,000 - 999,000 annually

Perks:Paid LeaveHealth InsuranceDentalVision401k

Key Requirements

•Deep and demonstrated experience using AI to build, ship, and accelerate work, including taking ambiguous problems to working solutions.
•Strong technical fluency with low-code/no-code tooling, development tools (Claude Code, Cursor), SQL/BI tools, APIs, scripting, and integrations.
•Ability to partner with teams as an analytical and empathetic problem-solver—using data to prioritize and measure impact.
•Excellent communication skills to translate technical concepts for non-technical stakeholders and translate business requirements into technical specs.
•3–6 years of experience in product management, product ops, forward deployed/solutions engineering, technical program management, or a similar technical problem-solving role.

Experience:3-6 years

Skills:Problem-solvingCommunicationAnalytical thinkingStakeholder managementDocumentation

Tech Stack:AI agentsClaude CodeCursorSQLBI toolsAPIsScriptingIntegrationsWebhooksAuth flowsData pipelinesGoogle CloudDBTData modelingLow-codeNo-codeGovernance frameworks

Company Brief

Rain

Website