# Staff Product Manager, AI Voice

**Company:** [Canary Technologies](https://hotfix.jobs/companies/canary-technologies)
**Location:** New York, NY
**Role:** Product Management
**Salary:** $250k – $300k/yr
**Experience:** 7+ years
**Skills:** Conversational AI, LLMs, NLP, Dialog Management, AI Infrastructure, Product Roadmap, KPIs, Enterprise Saas
**Posted:** 2026-06-29

> Staff Product Manager responsible for strategy, roadmap, and delivery of Canary's AI Voice platform for real-time intelligent hotel-guest interactions. Requires 7+ years PM experience with deep technical knowledge of conversational AI (LLMs, NLP) in enterprise SaaS, strong stakeholder alignment, and customer-driven product iteration.

## Job Description

## Responsibilities
- Contribute to the strategy and roadmap for AI Voice — setting the vision for how Canary's conversational AI handles guest interactions at scale, and making the calls on what ships and when.
- Proactively surface gaps in AI accuracy, resolution rates, and system performance before customers escalate them, and turn those findings into a prioritized plan.
- Stay directly connected to enterprise hotel clients and internal stakeholders to translate real operational pain points — staffing constraints, call volume spikes, multilingual guests — into product improvements.
- Partner with Engineering, AI/ML, and Infrastructure to champion a platform-first approach: high availability, low latency, and the ability to scale across thousands of properties.
- Define and track the KPIs that actually matter — resolution rate, accuracy, latency, containment — and use that data to drive decisions, not just report them.
- Bring engineering, sales, and customer success into alignment around shared goals, especially as new AI capabilities move from development into enterprise rollout.

## Qualifications
- 7+ years in product management, with a track record of shipping and scaling AI or conversational AI products in an enterprise SaaS environment.
- Real technical depth in conversational AI — LLMs, NLP, dialog management, and the infrastructure underneath — enough to lead conversations with engineers and make smart build vs. buy calls.
- A track record of driving alignment across engineering, data science, and commercial teams without direct authority.
- The ability to connect AI performance to business outcomes.
- Experience staying close to enterprise customers and clear examples of how that changed what you built.

## Compensation
Target cash compensation ranges from $250,000 - $300,000, including a fixed annual salary and a performance-based bonus paid quarterly.
This role also includes a stock option grant, subject to board approval.
Actual compensation will be commensurate with the candidate's skill level, experience, and specific work location.

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