Product Manager - AI Agents & Data Infrastructure

Product Manager – AI Agents & Data Infrastructure

Xenia | Hybrid -- Chicago, IL

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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 xhyhwjd 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
• Bonus: experience with retail, restaurant, or convenience operations, integration-heavy or API-driven B2B platforms, or data warehouse / modern data-stack architectures

Compensation

Targeting $130-$175K base salary plus bonus, confirmed based on tenure and direct experience, plus meaningful upside equity in the company.

Location

• On-Site; Hybrid 3-4 days a week