Business Analyst

Humanity Labs is building the digital workforce - AI-powered teams that work alongside humans to handle complex, time-consuming work. We're not building another AI tool; we're delivering managed digital colleagues that integrate into existing workflows and deliver measurable business outcomes. We're well-funded, growing fast, and already transforming operations for large paying customers in regulated industries like wealth management.

Position Overview

We are seeking a skilled Business Analyst to bridge the gap between business requirements and AI implementation, with specialized focus on prompt engineering and customer management processes. This role combines analytical expertise with emerging AI technologies to optimize business workflows, enhance customer experiences, and drive data-driven decision making through intelligent automation.

Key Responsibilities

AI prompting & Implementation: Design, develop, and optimize prompts for large language models and AI systems to support business operations, customer service, and process automation. Collaborate with technical teams to implement AI solutions that meet specific business requirements while ensuring accuracy, consistency, and alignment with company standards. Continuously test and refine AI model outputs to maximize effectiveness and reliability across different use cases.

Business process analysis & optimization: Analyze existing business processes, particularly those involving customer interactions, data management, and operational workflows. Identify opportunities for AI integration and automation while documenting current state processes and designing future state solutions. Work closely with stakeholders to understand pain points and translate business needs into technical requirements for AI implementation.

Data analysis & reporting: Collect, analyze, and interpret complex datasets related to AI performance, customer metrics, and business operations. Create comprehensive reports and dashboards that track AI model effectiveness, customer satisfaction metrics, and operational efficiency improvements. Present findings and recommendations to leadership and cross-functional teams.

Stakeholder collaboration & training: Partner with customers, engineering teams, customer success, and other business units to ensure AI solutions align with organizational goals. Facilitate enablement sessions on the Digital Workforce and prompt engineering best practices. Serve as the primary liaison between business stakeholders and technical implementation teams.

Required Qualifications

Bachelor's degree in Business Administration, Data Analytics, Computer Science, or related field. 5-7 years of experience in business analysis, process improvement, or customer operations. Demonstrated experience with AI/ML tools, particularly large language models and prompt engineering techniques. Strong understanding of customer management systems, CRM platforms, and business process mapping.

Preferred Qualifications

Experience in customer success,