AI Operations Lead
Leads AI operations by auditing workflows, building and deploying AI agents/apps/workflows, driving adoption across teams, and establishing foundational AI systems and metrics in a fintech startup.
About the job
What You'll Do
- Diagnose & Prioritize: Proactively audit workflows across teams to identify the highest-impact automation and AI opportunities. Translate business pain points into a prioritized roadmap with clear ROI.
- Build & Ship: Design and deploy AI-powered agents, apps, and workflows using a mix of code/no-code tools. Own solutions end-to-end from prototype to production.
- Drive AI Adoption: Partner with teams to build an AI-first culture. Run enablement sessions, create documentation, and build internal champions who sustain long-term impact.
- Establish Operational Rigor: Define success metrics for every initiative. Track performance, measure adoption, and demonstrate business impact. Iterate based on data and feedback.
- Support Rain’s AI Foundations: Develop the core primitives — documentation, skill/agent libraries, standard operating procedures, and governance frameworks — that enable Rain to build and deploy AI agents and tools easily and reliably.
Who You Are
AI Native Builder. Deep and demonstrated experience using AI to build, ship, and accelerate work. You can take an ambiguous problem and ship a working solution without waiting for an engineering team.
Strong technical fluency. You are fluent with low-code/no-code and development tools (Claude Code, Cursor, etc.), SQL & BI tools, APIs, scripting, and integrations.
Analytical and empathetic problem-solver. You can partner with teams to understand challenges, use data to prioritize opportunities, deliver results, and measure impact.
Excellent communicator. You can manage expectations, maintain alignment, across competing priorities. You can translate technical concepts for non-technical stakeholders and translate business requirements into technical specs.
Systems builder. You naturally create clarity out of chaos — writing SOPs, building templates, defining standards, and structuring knowledge so that humans and agents can build on your work.
Comfortable with ambiguity and speed. You thrive in fast-paced startup environments where priorities shift and you need to figure things out on the fly. You have high agency and don't wait to be told what to do.
Experience: 3–6 years of experience in product management, product ops, forward deployed/solutions engineering, technical program management, or a similar role where you have solved problems with technical solutions.
Nice to Have
- Experience at a Series A–C startup or high-growth startup company (or former founder)
- Familiarity with compliance, finance, or payments workflows
- Experience with workflow orchestration and integration architecture (webhooks, auth flows, data pipelines)
- Background in change management or internal enablement programs
- Experience with data platforms (Google Cloud, DBT) or data modeling
- Track record of driving measurable adoption of internal tools or processes
- Experience building internal knowledge bases, technical SOPs, or developer-facing documentation
Skills
AI Agents, Claude Code, Cursor, SQL, BI Tools, APIs, Scripting, Low-Code/No-Code Tools, GCP, dbt, Webhooks, Data Pipelines
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