AI Product Manager

Globality•Palo Alto, CA

6h•Hybrid

About The Position

Globality is building an autonomous sourcing platform that manages the intake-to-award process for global enterprises. The AI Product Manager will own the agent and AI layer of Glo, shaping product decisions from agent architecture and orchestration to the interfaces customers and their own agents use. The primary goal is to evolve Glo toward headless operation, allowing customers to run sourcing through assistants and tools such as Claude, ChatGPT, and Slack, connected through agent interfaces such as MCP. The role defines how Glo’s agents reason, use tools, coordinate, and earn customer trust, with success measured by customer outcomes. Product managers at Globality are expected to build: prototype with AI coding and design tools, test working versions with customers, and partner directly with engineers to ship products. The position works daily with Engineering, Design, and Customer teams and reports into the Product organization.

Requirements

At least 5 years of product management experience, with a record of shipping and scaling B2B or enterprise software products.
At least 1 year of experience building an AI enterprise product or agentic platform, including taking AI features or agents from concept to production.
Working knowledge of LLM-based systems, including prompting, tool use, retrieval, agent orchestration, evaluation, and failure modes, as well as agent interfaces and protocols such as MCP and use of assistants such as Claude and ChatGPT.
Hands-on building experience using AI coding and design tools such as Claude Code to create prototypes, internal tools, or product features, and comfort working in a codebase alongside engineers.
Experience defining quality metrics and acceptance criteria for probabilistic systems and using them to make release decisions.
Experience working with enterprise customers on requirements, security reviews, integrations, and adoption.
A track record of owning product outcomes end to end, making high-stakes decisions amid ambiguity, and writing precise requirements engineers can build from.
Excellent written and verbal communication skills, with the ability to align technical, commercial, and executive stakeholders.

Nice To Haves

Links to things you have built.
Sourcing or procurement experience; it is welcome but not required.

Responsibilities

Own the roadmap for Glo’s agent capabilities, setting priorities with company leadership and deciding what to build, stop, and pursue next.
Lead Glo’s evolution to headless operation by defining and shipping MCP servers, APIs, and agent interfaces that enable customers to request, run, and approve sourcing events from tools such as Claude, ChatGPT, and Slack.
Build prototypes of agent capabilities and workflows with tools such as Claude Code and use them to test ideas with customers and engineers.
Write requirements and user stories for agent capabilities, orchestration, tool integrations, and interfaces; work with engineers through delivery, test builds, tune prompts and evaluations, and contribute to the codebase when useful.
Own success metrics for agent capabilities, including task success, reliability, latency, cost per task, adoption, and the share of sourcing activity conducted through agent channels; connect these metrics to customer outcomes such as cycle time and savings.
Define AI evaluation criteria and release thresholds, build test sets with the Data Product Manager, review agent outputs with sourcing domain experts, and monitor production performance.
Gather insights from customer conversations, Customer Success, and usage data to guide product direction.
Work with Design to make agent decisions transparent and auditable across the Glo interface and conversations in Claude, ChatGPT, and Slack.
Track developments in models, protocols, frameworks, and assistant platforms, and decide what Glo should adopt, build on, or build itself.
Lead product launches end to end, including positioning, enablement, and customer communications.