Arbiter AI

Product Lead, Agentic Implementation

Remote, US

Sponsorship not specified$171k-$225kDetected 110 days ago

Agentic AIComplianceProduct ManagementProduct StrategyHIPAALeadershipCommunicationCollaborationMentoring

About the role

Arbiter is the AI-powered care orchestration system that unites healthcare.
This role can be remote or on-site, based in our New York City or Boca Raton offices, in a fast-paced, collaborative environment where great ideas move quickly from whiteboard to production.
Pay Transparency The annual base salary range for this position is $171,000-$225,000.

Own scoping for agentic deployments in new verticals: Work closely with GTM representing product in early phases of customer journey, define scope, flag what's feasible in the near term with our agentic workflows, and translate ambiguous customer requests into crisp requirements with measurable success criteria.
Building the repeatable motion: Create deployment playbooks, templates, and configuration checklists that reduce variance across pilots and speed up future launches.
Feed real-world gaps into the product roadmap platform limitations, reporting needs, new configuration primitives so engineering builds what actually matters in the field.
As the Product Lead, you'll work at the intersection of product, engineering, implementation, and go-to-market.
Taking immense pride in our craft and the products we build, treating both with utmost respect and care.
Experience defining success metrics and using them to drive a conversion or renewal conversation.
To support your long-term financial goals.
We are launching our best-in-class, patient-facing Agentic platform to optimize patient outcomes through a unique multimodal approach.
We are a high-performing group of engineers dedicated to delivering innovative, high-quality solutions to our clients and business partners.

8+ years in technical product management, solutions engineering, forward-deployed product, or implementation leadership, ideally in a customer-facing role where requirements were unclear, and timelines mattered.
Bachelor's degree, or equivalent practical experience
Comfort operating in fast-moving environments with evolving ownership
Technical fluency: you can read logs, understand workflow logic, map data dependencies, and communicate precisely with engineers without going through a translator.
You are the person responsible for making a pilot real, proving it worked, and handing it off in a state that scales.

Familiarity with conversational AI, agentic outreach, or contact-center automation.
Experience navigating HIPAA/PHI constraints and security reviews in real customer deployments.
Pay Transparency

Designed to rival top FAANG compensation, including meaningful equity.
The annual base salary range for this position is $171,000-$225,000.
Actual compensation offered to the successful candidate may vary from the posted hiring range based on work experience, skill level, and other factors.

We optimize complex healthcare workflows that interface with patients using the latest Agentic AI approaches, and we combine it with a sophisticated platform to serve this Agentic layer at scale.
We are looking for expert engineers and leads to join our team and help us push the frontier of what's possible with Agentic workflows in Healthcare.
Robust coverage for you and your family.
Strong written communication, you produce docs that align teams quickly and leave behind something reusable.
Support for conferences, courses, and certifications to fuel your continuous learning.

Inform Agentic product roadmap: help ensure that the agentic platform is improving with each successive deployment. Understand what the critical features are to drive improved outcomes for each customer, and to accelerate velocity for upcoming customers.
Understand what the critical features are to drive improved outcomes for each customer, and to accelerate velocity for upcoming customers.
Our Culture & Values

This listing is sourced directly from Arbiter AI's careers page and normalized into a canonical job model.