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Irvine, California, United States
Onsite
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.
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