Technical Product Manager (GenAI & Data) - Contract

Job description

CompassX is a boutique business and technology consulting firm. We help Fortune 500 and high-growth clients deliver their most strategic initiatives, from enterprise transformations to digital and data-driven projects. With over 15 years of proven results, we’ve expanded across industries including financial services, pharmaceuticals, aerospace, consumer products, and quick service restaurants. We are honored to be recognized as a three-time winner of Consulting Magazine’s Best Boutique Firms to Work For, and previously recognized as a “Best Place to Work” in Southern California and one of INC.’s 5000 fastest-growing private companies in the U.S. We’re looking for a Technical Product Manager to join a high-visibility engagement with one of our clients. This isn’t just an advisory or requirements-gathering role. You’ll work alongside the client’s Data Management team to learn how product and data actually move, from a marketing request through to a live in-person experience. Then you’ll build the tools that take the friction out of it. This is a senior, hands-on individual contributor role. On any given day, you might be shadowing a Data Manager, mapping a workflow, talking through a data model with an engineer, or opening an IDE to ship a working prototype. The strongest candidates are GenAI builders first, with enough product and process instinct to know what’s worth building. ### What You'll Do **Discover and Redesign** - Work alongside Data Managers to understand how the work really happens, across intake, product authoring, handoffs, validation and publishing - Map workflows, systems and dependencies, set baseline measures like time-per-task, and identify where the biggest gains are - Challenge legacy processes and propose redesigned workflows, working through the right stakeholders to get them adopted **Build** - Decide whether a problem calls for process change, automation, an integration, a purpose-built app or AI, and then build it - Independently build lightweight production applications, APIs, integrations and automation, using AI-assisted development tools without losing engineering discipline - Get prototypes into users’ hands quickly, gather feedback and improve sprint by sprint - Partner with the client’s engineers on larger builds while staying accountable for the product, architecture and outcome **Apply AI Where It Earns Its Place** - Extend an existing AI-based product authoring capability to support more product types - Build practical AI tools such as authoring assistants, validation and anomaly checks, and workflow agents, with the right controls for data quality and human review - Recognize when a deterministic solution or a process fix is the better answer **Shape the Data Foundation** - Help define the domain model for product and experience data - Replace spreadsheet-based tracking with a structured, queryable system that downstream platforms can draw from through API - Make sure what you build is documented, maintainable, and ready to hand over ### What You'll Bring - 8+ years across software development, solutions architecture, technical product management or similar, with a track record of building and shipping tools yourself - Hands-on experience building applications, APIs and integrations. You don’t need to be a career software engineer, but you do need to be able to build robust solutions on your own - Practical experience developing LLM applications or agentic workflows - Strong data modeling and SQL skills - Experience working directly with end users to map processes and drive adoption across teams - Consulting or client-facing experience is a plus - Experience with product, menu, catalog or master data (PIM/MDM) is a strong plus - Bachelor’s degree or higher (Computer Science, Engineering, Information Systems) or equivalent demonstrable experience