Product Lead
Role Overview
Own end-to-end delivery of complex AI projects from scoping through post-delivery, ensuring results are on time and on specification.
Serve as the customer voice and accountable lead for use-case delivery vision, project ROI clarity, and customer alignment.
Work cross-functionally with engineers, data scientists, quality specialists, and Engagement Leads.
Key Skills for This Role
Full Job Posting
Role overview
Own end-to-end delivery of complex AI projects from scoping through post-delivery, ensuring results are on time and on specification.
Serve as the customer voice and accountable lead for use-case delivery vision, project ROI clarity, and customer alignment.
Work cross-functionally with engineers, data scientists, quality specialists, and Engagement Leads.
Responsibilities
- Own specifications, design, and delivery outcomes across the project lifecycle; map customer journeys, define use cases, and manage scope changes.
- Document current processes, facilitate discovery and scoping workshops, and translate needs into AI solution designs.
- Surface delivery risks, scope deviations, and material budget impacts; analyze data, processes, and workflows for decision-making.
- Partner with Engineering on design, non-functional requirements, API discovery, feasibility, and AI product readiness.
- Lead agile ceremonies and sprints, write and validate user stories, track scope, and remove blockers.
- Facilitate milestone demos and manage expectations; coordinate UAT from kickoff through feedback triage and customer Go/No Go.
- Lead customer communication and weekly status cadences; coordinate roadmaps and execution plans with Engagement Leads.
Minimum qualifications
- 8+ years as a Business Analyst, Technical Consultant, Product Owner, Product Manager, or in a delivery-focused technology or AI role.
- Working understanding of APIs and data schemas and ability to represent data models for mock data creation.
- Deep agile delivery knowledge and track record running sprint ceremonies and managing backlogs end-to-end.
- Experience as primary customer liaison on complex projects, facilitating multi-stakeholder requirements and scoping workshops.
- Demonstrated UAT coordination, including scenario validation, session scheduling, feedback triage, and production-readiness planning.
- Strong analytical, written, and verbal communication skills; able to turn ambiguous needs into requirements, user stories, and feasible AI approaches.
- Proficiency with business analysis and delivery tools such as Jira and Confluence.
Preferred qualities
- Enjoys fast results, continuous improvement, and contributing to a rapidly scaling organization.
- Confident with customers during difficult situations and able to reset direction constructively.
Why join
- The company describes a high-performance culture, state-of-the-art technology, experienced leadership, meaningful impact, and growth opportunities.
- Benefits and working environment include a flexible work environment, diversity, and creativity.
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