Arbiter AI

Arbiter AI

Head of Strategic Deployments & Operations

New York City · Senior

Sponsorship not specified$10k-$15kDetected 15 days ago
Agentic AIProduct ManagementProduct StrategyProject ManagementLeadershipCommunicationCollaborationMentoring

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odds of building a lasting career here

37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level I)39
Fits your clock70

Thin sponsorship signal and lottery-bound (~15% per draw). A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

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Employer immigration record

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Files H-1B transfers

5 transfer filings in the last year, covering 5 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

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About the role

  • Arbiter is the AI-powered care orchestration system that unites healthcare.
  • As Head of Strategic Deployments & Operations, Reporting to the COO.
  • The role is a player-coach, split about 50/50.

Responsibilities

  • You will own how these programs are designed, launched, and run.
  • The other half goes to building and managing the team and operating system that makes every deployment work.
  • 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.
  • Program design and strategic deployments:
  • Lead end-to-end deployment of high-value payer programs, covering scoping, workflow design, build, launch, and steady state, with clear owners, milestones, and success metrics.
  • Turn plan priorities (HEDIS and Stars measures, care gap targets, member experience, compliance requirements) into program designs: target populations, outreach sequencing, channel mix, agent and nurse handoffs, and escalation logic.
  • Own operating models for nurse-supported workflows: staffing, scheduling, protocols, documentation standards, clinical escalation, and productivity metrics.
  • Hire, lead, and develop a team of deployment and program managers and nurse operations staff.
  • Turn deployment learnings into repeatable playbooks, templates, program design patterns, and launch checklists.
  • Use deployment insights to shape product roadmap and internal processes so Arbiter can deliver complex programs reliably at scale.

Requirements

  • Experience running or working closely with clinical or nurse-led operations.
  • You can translate between member outcomes, operational reality, and technical execution.
  • Comfort with ambiguity and a bias to act.
  • You set the standards, measurement, and QA process for live campaigns, and you are accountable for performance

Nice to have

  • Experience in payer operations, quality, or customer-facing implementation in payer environments, including at least 3 years leading teams.
  • Clinical credential (RN) or experience managing RN teams.
  • Familiarity with AI or automation-driven outreach, contact center operations, or workforce management.

Compensation

  • The annual base salary range for this position is $250,000-$300,000.
  • Actual compensation offered to the successful candidate may vary from the posted hiring range based on work experience, skill level, and other factors.

Benefits

  • 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.

Company info

  • Nurse operations. Where nurses are part of the workflow, you own staffing models, protocols, escalation paths, and throughput
  • Set performance baselines and targets with customers, report against them, and lead corrective action when campaigns underperform.
  • Our Culture & Values

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