Product Manager - AI Agents & Data Infrastructure

Xenia; Chicago (IL); Hybrid; USD 120,000 - 170,000; Full time

Job summary

Xenia is seeking a Product Manager to own the roadmap for production AI agents and the data infrastructure that feeds them, driving scale across thousands of locations.

You'll translate enterprise needs into a disciplined product plan, partner with engineering, and ensure data quality, governance, and credible data for AI-driven insights.

Hybrid Chicago, IL; 5+ years PM in data platforms or AI/ML-powered features preferred; B2B SaaS background welcomed.

Qualifications

• 5+ years of product management experience in data platforms, integrations, API-driven products, or AI/ML features.

Responsibilities

• Own the roadmap for production AI agents, expanding capabilities and reliability across thousands of locations.
• Own the data infrastructure roadmap: ingestion, normalization, and third-party integrations.
• Define and evangelize a normalized data model for diverse customer data sources.
• Set data quality, credibility, and governance standards behind AI-generated insights.
• Translate ambiguous requirements into clear specs for engineering and product teams.
• Partner with engineering, sales, and customer success to align delivery with timelines.
• Establish metrics to measure agent performance and impact to guide future work.

Skills

Product management

Data platforms

API-driven products

AI/ML features

Enterprise customers

Roadmap ownership

Job description

Product Manager – AI Agents & Data Infrastructure

Xenia | Hybrid -- Chicago, IL

About Xenia

We're building AI-native operations software that transforms how frontline teams work. Our platform helps multi-unit restaurant, convenience store, and retail operators run execution and compliance across thousands of locations — with AI agents, already running in production, that turn photos into insights, voice into tasks, and raw data into prescriptive action.

As legacy point solutions have been acquired and folded into larger platforms, Xenia is now one of the few AI-native, standalone platforms purpose-built for this space. We support 500+ multi-location brands and 15,000+ stores managed daily. We raised our Series A (PSG Equity) 6 months ago and continue to scale fast.

The Role

Our AI agents are already in production — analyzing photos, generating insights, and driving action across thousands of locations — and they need dedicated product ownership to support, harden, and scale them. This role owns two tightly linked mandates: scale and amplify those production agents, and build the data infrastructure that feeds them.

An agent is only as good as the data behind it. You'll own the strategy and execution for the ingestion, normalization, and integration layer that turns fragmented operational and third-party data into a clean, credible foundation our agents can reason over — while simultaneously expanding what those agents do and how reliably they perform at scale. Engineering is shipping fast in an agent-driven environment; we need someone who can turn enterprise requirements and customer timelines into a disciplined roadmap, and make sure this ships as a reliable, scalable product rather than a series of one-off asks.

What You'll Do

• Own the roadmap for our production AI agents — supporting and hardening what's live today, expanding their capabilities, sharpening quality and reliability, and scaling them from early wins to fleet-wide deployment across thousands of locations
• Own the current and future roadmap for the data infrastructure that powers those agents: ingestion, normalization, and third-party integrations
• Define and evangelize a normalized data model that scales across diverse customer data sources and feeds every agent
• Set the bar for data quality, credibility, and governance behind every AI-generated insight — the trust layer that makes agent output shippable to a customer
• Translate ambiguous, technical requirements from large multi-location operators into clear specs engineering can execute against
• Partner closely with engineering, sales, and customer success to align delivery with customer deployment timelines
• Establish how we measure agent performance and impact, so we can prove value and prioritize what to build next

What We're Looking For

• 5+ years of product management experience, with direct experience in data platforms, integrations, API-driven products, or AI/ML-powered features
• A track record scoping and shipping ingestion/normalization pipelines, third-party integrations, or data-intensive products at a B2B SaaS company
• Comfort owning products where data quality directly determines output quality — ideally behind AI, ML, or LLM-driven features
• Experience working with enterprise customers and translating ambiguous, technical requirements into a roadmap
• Experience partnering tightly with engineering in a fast-moving, agent-driven development environment