AI Product Strategy and Automation Engineer
Explicitly calls for "vibe coding" and the use of AI coding assistants (Claude Code, Cursor) to prototype and ship AI workflows quickly.
About the Role
Lead discovery, design, and delivery of AI-powered automations and human-in-the-loop workflows that integrate APIs and AI models to improve operational metrics. Own end-to-end lifecycle from stakeholder interviews and requirements to deployment, governance, and iteration in a regulated fintech environment.
Job Description
Role
You will operate at the intersection of product, engineering, and business strategy to identify high-value automation opportunities and build AI-powered workflows (primarily using n8n). The role owns discovery, scoping, implementation, quality assurance, governance, measurement, and iteration of automations with direct exposure to senior leadership in a regulated banking environment.
Key Responsibilities
- Design, build, and ship AI-powered workflows and automations (primarily in n8n) that integrate APIs, connectors, and AI models.
- Conduct stakeholder interviews, synthesize pain points, prioritize opportunities (impact/effort/risk/confidence), and produce clear requirements, acceptance criteria, and rollout plans.
- Establish QA and governance for AI steps: confidence thresholds, sampling, escalation paths, audit trails, documentation, and version control for workflows and prompts.
- Monitor KPIs and internal feedback; track and report impact (hours saved, dollars saved, volume processed) and present insights to product leadership and cross-functional teams.
- Partner with compliance and risk teams to ensure workflows meet regulatory standards and champion responsible AI practices.
Requirements
- Bachelor’s degree in a related discipline or equivalent practical experience.
- Strong structured thinking and writing skills; ability to convert messy inputs into clear problem statements, requirements, and prompts with documented assumptions.
- Comfortable with AI-assisted development (“vibe coding”) and able to use AI coding assistants to prototype and iterate.
- Ability to build and ship automations using n8n or similar platforms (Power Automate, Zapier, Make), integrating APIs, triggers, routing, approvals, notifications, and transforms.
- Basic data literacy: use Excel or Sheets to perform opportunity sizing and translate time savings into dollars with explicit assumptions.
- High ownership, bias toward action, experience taking ideas to working outputs, and attention to QA, edge cases, documentation, and rollout.
- Comfort working in a regulated, compliance-driven environment.
Preferred
- Hands-on experience with n8n, Power Automate, Zapier, or Make.
- Familiarity with Python, SQL, JSON, and reading/interpreting API documentation.
- Experience with product management practices (requirements, user stories, acceptance criteria).
- Interest or experience in governance, risk, compliance, consulting, or AI/ML concepts and responsible AI practices.
Success Metrics
- Delivered automations that demonstrate measurable improvements (hours saved, cycle time reduced, error rates lowered).
- Clear documentation, QA and governance in place for shipped workflows.
- Positive internal customer feedback and demonstrable alignment with leadership objectives.