Head of Service Delivery (AI/Healthcare)

Location: US Remote; flexible remote or hybrid work options

Salary: $120,000–$140,000 per year

Company

hirify.global is building America's national imaging network, connecting patients, providers, and payers to faster, better-value diagnostic imaging and managing the medical imaging pathway end to end.

What you will do

• Lead and develop functional leads across Workforce Management (WFM) and Quality Assurance (QA), helping them run their areas independently.
• Own the full vendor lifecycle, including sourcing, onboarding, contract structuring, performance management, SLA governance, and offboarding.
• Set QA strategy through audit frameworks, calibration, scorecards, coaching feedback loops, and product-testing infrastructure.
• Set WFM strategy across internal and outsourced teams, covering demand forecasting, staffing plans, scheduling, and capacity modeling.
• Standardize QA and WFM reporting, including SLA/KPI dashboards and vendor and team scorecards, while partnering on headcount planning and budgets.
• Lead HIPAA, data security, and automation oversight; define quality standards for agentic workflows and sign off on Courier automation before patient-facing release.

Requirements

• Direct people-management experience leading managers or team leads.
• Experience managing vendors in healthcare operations, including third-party relationships, contract negotiation, and SLA governance.
• Experience overseeing WFM, including forecasting, scheduling, and intraday management.
• Experience building or overseeing QA programs, including audit frameworks and calibration.
• A data-first approach with the ability to build and interpret vendor and team scorecards.
• Strong communication skills for translating complex cross-functional work for executives and teams, with the ability to operate at high speed without compromising execution quality.
• Experience redesigning operational workflows around automation or AI with measurable results such as handle time, cost per order, or headcount avoided.
• Ability to build capacity models covering human and automated throughput and to determine whether the next investment should be in headcount or automation.
• Experience structuring vendor contracts for workload changes, including volume flexibility, per-outcome pricing, exit terms, and automation clauses.
• Ability to set quality standards for automated and agentic systems and hold Product and Engineering accountable to them.
• Working knowledge of PHI and AI, including tool-appropriate data handling, BAA coverage, and auditing.
• Ability to evaluate AI vendor claims and distinguish demonstrations from deployed results using evidence.
• AI-native experience building, shipping, automating, or prototyping real work with LLMs, agents, or AI tooling.
• Ability to explain a workflow redesigned so a machine performs the routine majority of the work, and to judge where human involvement remains necessary in regulated, PHI-adjacent work.

Nice to have

• No separate optional qualifications are specified; the posting states that candidates do not need to meet every listed criterion.

Culture & Benefits

• AI is expected to be used directly to accelerate work, automate tasks, and improve output responsibly around patient data.
• Fast-paced, outcome-oriented environment with ambiguity, ambitious colleagues, and visible impact on patient access to diagnosis.
• Flexible remote or hybrid work options.
• Equity package, medical, vision, and dental coverage, a 401(k) retirement plan, and paid parental leave.
• 28+ days of PTO and wellbeing days, a personal development budget, required work equipment, and inclusive people-first policies.

Hiring process

• 30-minute introductory phone call with a Senior Talent Partner.
• 45-minute video interview with the hiring manager covering the role and technical needs.
• Scan Standard values and success-factors interview, including assessment of AI fluency relevant to the role, followed by meetings with founders or team members and an offer.