Expedient

Senior Product Manager, AI

Reposted 10 Days Ago

Country States, Pájaros Barrio, Bayamón, PRI

In-Office

150K-180K Annually

Senior level

Cloud • Information Technology • Security • Cybersecurity

The Role

Own the Secure Gateway and Chat product line for AI CTRL: define multi-quarter roadmap, manage customer-facing chat and admin portal features, write user stories and acceptance criteria, own pricing/packaging and consumption models, partner with engineering, conduct competitive analysis, and engage with customers on discovery and pilots.

Summary Generated by Built In

Expedient helps mid-market and enterprise organizations modernize infrastructure, manage data, and deploy AI safely at scale. We have been in business 25 years, retain 99 percent of our clients, operate under a 100 percent uptime SLA, hold 200+ active technology certifications, and employ technical staff in 70 percent of roles. We deliver managed cloud, data, and AI under a single operating model: Intelligent Infrastructure.
AI CTRL is Expedient's enterprise AI platform. Prompts, responses, and automated workflows inside a customer's organization are routed, governed, and measured through it.
About the Role:
Secure Gateway and Chat is the entry point to AI CTRL and where most customers begin. It includes a governed model gateway, a multi-model chat interface, and the customer admin portal.
This role owns that product line: roadmap, requirements, both UI surfaces, and pricing and packaging. You will work with one engineering team and report to the Head of Product.
What You'll Be Doing:
Product and roadmap

Own the multi-quarter roadmap for the gateway, the chat interface, and the customer admin portal.
Own ongoing feature development for both UI surfaces, the client-facing chat experience and the admin portal. This is sustained ownership across releases rather than a single launch.
Define the admin experience, including SSO and RBAC, model and connector configuration, usage visibility, budget and rate controls, and audit.
Define the client experience, including model selection, bringing customer data into a prompt, and returning a governed response.
Write user stories, acceptance criteria, and release scope.
Partner with engineering leadership on release planning and tradeoffs.

Pricing and packaging

Maintain the SKU catalog and seat tiers, including what is included at each tier, what meters, and where upgrades are triggered.
Define the credit and consumption model, including unit definition, rate card, overage behavior, and how usage is presented in the admin portal.
Recommend pricing changes based on competitive and deal data.

Market and customers

Conduct ongoing competitive analysis of enterprise AI platforms and model gateways, and recommend roadmap changes based on what you find.
Join discovery calls and pilot reviews to stay close to buyers and users.

What We're Looking For:

Required

5+ years of B2B product management experience, including at least 3 years owning a SaaS product or a significant product area.
Experience owning the ongoing feature backlog for both a customer-facing application and an admin console, with a record of shipping across multiple releases over two or more years.
Experience owning pricing and packaging decisions such as seat tiers, usage metering, or consumption pricing, including the ability to describe a pricing decision you made and its effect on revenue.
Working fluency with AI products and concepts
Working knowledge of SSO, RBAC, observability, vector stores, MCPs and the LLM provider landscape.
Experience supporting B2B distribution through direct sales, channel partners, or both.
Comfort making decisions with incomplete information and communicating the reasoning behind them.

Preferred

Experience with model gateways, chat interfaces, or vector and search
Background in managed services, cloud, or infrastructure SaaS.
Experience selling to or supporting mid-market enterprises in the $50M to $2B revenue range.

This is a hybrid position requiring proximity to one of our office locations in Pittsburgh, PA, Cleveland, OH, or Columbus, OH. Sponsorship is not provided for this role.
Salary for this position is directly related to your own experience, knowledge, and skills.  Estimated range for this role is $150,000 to $180,000
#LI-Hybrid

Skills Required

5+ years of B2B product management experience, including at least 3 years owning a SaaS product or a significant product area.
Experience owning the ongoing feature backlog for both a customer-facing application and an admin console, with a record of shipping across multiple releases over two or more years.
Experience owning pricing and packaging decisions such as seat tiers, usage metering, or consumption pricing, and describing the impact of pricing decisions on revenue.
Working fluency with AI products and concepts.
Working knowledge of SSO, RBAC, observability, vector stores, MCPs and the LLM provider landscape.
Experience supporting B2B distribution through direct sales, channel partners, or both.
Comfort making decisions with incomplete information and communicating the reasoning behind them.
Proximity to the Pittsburgh, PA office (hybrid role).
Experience with model gateways, chat interfaces, or vector and search.
Background in managed services, cloud, or infrastructure SaaS.
Experience selling to or supporting mid-market enterprises ($50M to $2B revenue range).