Vividly is solving the $8 trillion problem of inefficient trade promotion spend in the consumer packaged goods industry, where 70% of promotions are not ROI positive due to a lack of tracking and reliance on manual processes like emails, PDFs, and spreadsheets. The company aims to disrupt this market with an innovative SaaS solution leveraging AI, Machine Learning, and Fintech.
Requirements
- Foundational skills in programming or scripting (Python preferred), data manipulation (e.g., Pandas), and familiarity with AI/ML APIs.
- Ability to streamline and automate operations across our tech stack to reduce manual workload (e.g., ticket preparation, administrative tasks).
- Basic understanding of prompt engineering concepts, LLM behavior, and chaining logic.
- Data-sensitive—comfortable organizing, cleaning, and interpreting datasets to support tooling.
- Initiative to independently design, build, and test automation solutions using modern AI or workflow tools.
- Exposure to automation platforms (e.g., Zapier, Make, n8n) or interest in lightweight workflow automation.
- Any prior project or internship demonstrating AI experimentation, prompt design, or cross-functional support.
Responsibilities
- Shadow CX roles to map task flows and identify manual, repetitive operations ripe for AI solutions.
- Prototype and deploy AI automations (e.g., prompt chains, AI agents) that support workflows like ticket handling, documentation generation, client readiness reporting.
- Build automations to assist internal operations—like transaction updates or record-keeping within our platform.
- Design, test, and iterate on prompt strategies and multi-step workflows to guide AI models for tasks such as summarizing, drafting emails/decks, or extracting insights.
- Stay informed on prompt engineering techniques, prompt chaining, and best practices for interacting with LLMs.
- Help gather, clean, and structured data to fuel AI datasets that enhance proactive customer support and team productivity.
- Support the creation of dashboards or insights that allow CX teams to better understand customer behavior and internal workload trends.
Other
- This position is a hands-on, experimental AI-ops role—not strictly engineering.
- Active listening and cross-departmental collaboration is required as you understand key workflows and pain points experienced by internal stakeholders that could benefit from automation.
- Excitement for creating and maintaining internal AI prompt libraries and automation tools leveraged by cross-functional teams (Support, CSMs, Accounting, etc.).
- Highly curious and experimental—enjoys solving inefficiencies and testing new ideas.
- Effective communication skills and ability to translate technical ideas for non-technical teammates.
