Product Lead, Bond OS Platform

🏢 Summary: Senior Product Lead role focused on owning the roadmap and execution for Bond OS, a healthcare care-delivery platform integrating patient workflows, operations, APIs, analytics, and AI/ML capabilities. The position involves leading platform strategy, defining core system primitives, collaborating with engineering and design, and driving AI/ML product development in regulated healthcare environments. Candidates will shape scalable workflows, technical contracts, and operational systems while ensuring high standards for safety, auditability, and execution. 🗂️ Requirements: 6+ years product management or product leadership experience, Experience leading complex software products from strategy to launch, Experience with platform, SaaS, healthcare, fintech, logistics, marketplace, developer-platform, operations, or commerce software, Technical fluency with APIs, schemas, state machines, data models, permissions, validation, integrations, and observability, Experience translating customer or strategic client needs into scalable product capabilities, Strong written communication for PRDs, specs, roadmap memos, technical decision documents, and launch plans, Experience with AI/ML product development and responsible release processes, Familiarity with healthcare data standards, Ability to collaborate with engineering, design, operations, and leadership teams, Experience working in fast-moving or small teams 📃 Skills: APIs, FHIR, SDC, HL7, LOINC, AI, ML, SaaS, Analytics, Observability, Integrations, Schemas, Validation, Permissions, StateMachines, DataModels, Commerce, Telehealth, Eprescribing 🏢 Description: About Us At The Pharmacy Hub, we collaborate with pharmaceutical brands, manufacturers, health brands, telemedicine providers, and healthcare companies to deliver essential products directly to patients. Our expertise allows us to seamlessly distribute pharmaceuticals, medical devices, and other healthcare products to consumers, ensuring greater accessibility and convenience. Build the operating system for patient-centric care Bond OS is the platform layer for modern care delivery. It connects structured patient intake, longitudinal patient context, provider review, clinic and admin operations, orders, prescriptions, commerce rails, platform APIs, analytics, support workflows, and applied AI/ML into one coherent system. Healthcare delivery is usually fragmented: intake in one place, clinical review in another, ordering and prescription status somewhere else, operations in spreadsheets, support in tickets, and analytics after the fact. Bond OS is built to make those flows work together: one patient context, clear workflows for every role, durable platform primitives, and intelligent assistance where it improves speed, quality, and safety. We are hiring a Product Lead to own the roadmap for Bond OS across product surfaces and platform primitives. This is a senior, hands-on product leadership role for someone who can move between client conversations, patient and provider workflows, technical contracts, data models, operational edge cases, AI/ML release discipline, and crisp execution with engineering and design. Why this role matters Bond OS is entering a new chapter. The core platform is live, the product surface area is expanding, and the opportunity is to make the system more unified, more patient-centric, more operationally powerful, and more intelligent. This role will shape how the platform scales: how intake becomes usable clinical context, how providers and clinic teams move through work, how orders and prescriptions are tracked, how clients understand performance, how APIs and permissions become stronger platform primitives, and how applied AI/ML earns its way into high-consequence workflows. The mandate is clear: turn a powerful care-delivery platform into a sharper operating system. Quick Facts Pay Range: $120,000—$300,000 USD Benefits: - 401(k) with up to 4% matching - Medical, dental, vision and life insurance - Paid time off What you will lead Bond OS roadmap - Own the product roadmap across the full platform: - Patient intake, patient portal, and longitudinal patient context - Provider workflows, review queues, clinical decisioning, and safety review - Clinic and admin operations, group management, permissions, and oversight - Orders, prescriptions, catalog, commerce, payments, promotions, and fulfillment handoffs - Platform APIs, integrations, auditability, data contracts, and status models - Analytics for operations, outcomes, quality, and performance - Applied AI/ML across intake, summarization, triage, drafting, operations, and decision-support context You will set priorities, make tradeoffs, sequence dependencies, and keep the roadmap grounded in client value, patient impact, operational leverage, and engineering reality. Platform primitives Define and protect the core primitives of Bond OS: patient, intake, encounter, decision, order, prescription, catalog item, group, role, permission, audit event, status, and AI artifact. Client and user discovery Partner directly with clients, providers, clinic/admin teams, operators, support, design, engineering, and leadership. You will watch real workflows, understand where care delivery breaks down, and translate that signal into product decisions. Applied AI/ML product direction AI/ML is a first-class part of Bond OS. The first opportunities include assisted intake summarization, missing-data detection, suggested triage priority, provider-facing drafting, operational intelligence, quality analytics, and decision-support context. You will define which use cases are worth pursuing, what good output means, how model-backed features are evaluated before launch, how humans review or override outputs, how failures are handled, and how performance is monitored after release. Product execution and spec quality Write product specs that engineering and design can execute from. Strong specs should include user goals, role-specific flows, states, API contracts, validation behavior, data requirements, audit/logging needs, i18n requirements, acceptance criteria, rollout plan, and release criteria. Product operating cadence Maintain the product source of truth: what is live, what is in flight, what is blocked, what is cut, what depends on what, and what done means. What you will do - Build and maintain the Bond OS roadmap across patient, provider, clinic/admin, order, prescription, commerce, API, analytics, operations, and AI/ML surfaces. - Translate client, user, clinical, operational, and technical insight into clear product direction. - Partner with engineering on API contracts, schemas, state machines, validation behavior, performance, reliability, and integration boundaries. - Partner with design on high-craft workflows that reduce cognitive load and make complex care operations feel clear. - Prioritize the smallest valuable slices that improve the platform without creating long-term product debt. - Lead applied AI/ML product discovery and write the first serious AI/ML PRDs for Bond OS. - Define release gates for high-consequence workflows, including safety, auditability, permissions, i18n, test coverage, and operational fallbacks. - Communicate roadmap priorities and tradeoffs to internal stakeholders and strategic clients. Experience we value - 6+ years of product management or product leadership experience - Experience building platform, SaaS, healthcare, fintech, logistics, marketplace, developer-platform, operations, commerce, or high-consequence software - Healthcare, health-tech, telehealth, pharmacy, e-prescribing, care operations, or regulated-data experience - Experience working directly with customers or strategic clients - Technical fluency with API contracts, schemas, state machines, data models, permissions, validation, integrations, observability, and engineering tradeoffs - Strong written communication skills - Experience with AI/ML product development, evaluation, guardrails, human-in-the-loop UX, model observability, red-teaming, drift monitoring, and responsible release processes - Familiarity with healthcare data standards such as FHIR, SDC, HL7, or LOINC - Experience in small or fast-moving teams What success looks like First 90 days - Understand the Bond OS platform across workflows, APIs, analytics, operations, and AI/ML surfaces - Maintain an accurate product source of truth - Ship or materially advance one meaningful cross-surface platform slice - Deliver a next-quarter roadmap with priorities, tradeoffs, dependency mapping, and measurable outcomes - Develop a product plan for an applied AI/ML capability with evaluation, guardrails, review, monitoring, and launch criteria First 12 months - Improve workflow unification across patient, provider, admin, operations, and client-facing systems - Strengthen permissions, auditability, taxonomy, analytics, and operational visibility - Deliver AI/ML capabilities with oversight and monitoring - Improve order, prescription, and fulfillment workflows How we work - Platform first: strengthen shared primitives, contracts, workflows, and data - Patient context is the spine of workflows and analytics - Small slices, high bar - Contracts matter: API behavior, validation, permissions, audit logs, states, and data contracts are part of the product - AI/ML features require evaluation, guardrails, human oversight, observability, fallback behavior, and monitoring - Written decisions compound through clear product writing - Craft is leverage: the product should feel fast, clear, safe, and intentional Hiring process - Intro conversation focused on platform scope, product judgment, and role fit - Product leadership conversation around roadmap, tradeoffs, and discovery - Technical product conversation around APIs, data models, workflow states, and execution quality - Paid work sample or case discussion - Final conversation with leadership How to apply Send your resume including your LinkedIn profile link. A product artifact is encouraged but not required: a PRD, roadmap memo, technical decision document, launch plan, or case study. The Pharmacy Hub is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to protected characteristics. The Pharmacy Hub participates in E-Verify. A post-offer background check is required for all positions. Additional pre-employment screenings may apply depending on the role.

🏢 Summary: Senior Product Lead role focused on owning the roadmap and execution for Bond OS, a healthcare care-delivery platform integrating patient intake, provider workflows, operations, APIs, analytics, and AI/ML capabilities. The position involves leading product strategy, defining platform primitives, collaborating with engineering and design, and driving AI/ML-enabled healthcare workflows with strong operational and technical rigor. The role emphasizes healthcare platform scalability, technical product leadership, and high-quality execution in a fast-moving environment. 🗂️ Requirements: 6+ years product management or product leadership experience, Experience leading complex software products from strategy through launch, Experience with platform, SaaS, healthcare, fintech, logistics, marketplace, or operations software, Technical fluency in APIs, schemas, state machines, data models, permissions, and integrations, Experience with AI/ML product development and evaluation workflows, Strong product specification and technical documentation skills, Experience working with customers or strategic clients, Familiarity with healthcare data standards, Ability to define release gates, auditability, and operational workflows, Experience in fast-moving or small teams 📃 Skills: API, FHIR, HL7, LOINC, SDC, AI, ML, SaaS, Analytics, Schemas, Integrations, Observability, Permissions, Validation, Commerce, Payments, PRDs, Roadmaps, Telehealth, Eprescribing 🏢 Description: About Us At The Pharmacy Hub, we collaborate with pharmaceutical brands, manufacturers, health brands, telemedicine providers, and healthcare companies to deliver essential products directly to patients. Our expertise allows us to seamlessly distribute pharmaceuticals, medical devices, and other healthcare products to consumers, ensuring greater accessibility and convenience.Build the operating system for patient-centric care Bond OS is the platform layer for modern care delivery. It connects structured patient intake, longitudinal patient context, provider review, clinic and admin operations, orders, prescriptions, commerce rails, platform APIs, analytics, support workflows, and applied AI/ML into one coherent system. Healthcare delivery is usually fragmented: intake in one place, clinical review in another, ordering and prescription status somewhere else, operations in spreadsheets, support in tickets, and analytics after the fact. Bond OS is built to make those flows work together: one patient context, clear workflows for every role, durable platform primitives, and intelligent assistance where it improves speed, quality, and safety. We are hiring a Product Lead to own the roadmap for Bond OS across product surfaces and platform primitives. This is a senior, hands-on product leadership role for someone who can move between client conversations, patient and provider workflows, technical contracts, data models, operational edge cases, AI/ML release discipline, and crisp execution with engineering and design. Why this role matters Bond OS is entering a new chapter. The core platform is live, the product surface area is expanding, and the opportunity is to make the system more unified, more patient-centric, more operationally powerful, and more intelligent. This role will shape how the platform scales: how intake becomes usable clinical context, how providers and clinic teams move through work, how orders and prescriptions are tracked, how clients understand performance, how APIs and permissions become stronger platform primitives, and how applied AI/ML earns its way into high-consequence workflows. The mandate is clear: turn a powerful care-delivery platform into a sharper operating system. What you will lead Bond OS roadmap Own the product roadmap across the full platform: Patient intake, patient portal, and longitudinal patient context Provider workflows, review queues, clinical decisioning, and safety review Clinic and admin operations, group management, permissions, and oversight Orders, prescriptions, catalog, commerce, payments, promotions, and fulfillment handoffs Platform APIs, integrations, auditability, data contracts, and status models Analytics for operations, outcomes, quality, and performance Applied AI/ML across intake, summarization, triage, drafting, operations, and decision-support context You will set priorities, make tradeoffs, sequence dependencies, and keep the roadmap grounded in client value, patient impact, operational leverage, and engineering reality. Platform primitives Define and protect the core primitives of Bond OS: patient, intake, encounter, decision, order, prescription, catalog item, group, role, permission, audit event, status, and AI artifact. Great product work here makes the platform simpler and more durable. It turns repeated workflows into shared systems, edge cases into explicit states, and client-specific needs into reusable capabilities. Client and user discovery Partner directly with clients, providers, clinic/admin teams, operators, support, design, engineering, and leadership. You will watch real workflows, understand where care delivery breaks down, and translate that signal into product decisions. Discovery should change the roadmap. The goal is not to collect opinions; it is to understand where Bond OS can create measurable leverage for patients, providers, clients, and internal teams. Applied AI/ML product direction AI/ML is a first-class part of Bond OS. The first opportunities include assisted intake summarization, missing-data detection, suggested triage priority, provider-facing drafting, operational intelligence, quality analytics, and decision-support context. You will define which use cases are worth pursuing, what good output means, how model-backed features are evaluated before launch, how humans review or override outputs, how failures are handled, and how performance is monitored after release. The standard is practical and serious: assistive, evaluated, observable, auditable, human-overseen, and suppressible when confidence or safety conditions are not met. Product execution and spec quality Write product specs that engineering and design can execute from. Strong specs should include user goals, role-specific flows, states, API contracts, validation behavior, data requirements, audit/logging needs, i18n requirements, acceptance criteria, rollout plan, and release criteria. For AI/ML-backed features, specs should also define model inputs and outputs, evaluation criteria, red-team cases, confidence and fallback behavior, human review UX, monitoring, and go/no-go thresholds. Product operating cadence Maintain the product source of truth: what is live, what is in flight, what is blocked, what is cut, what depends on what, and what done means. Run a written cadence that gives leadership, clients, and the team clear visibility into decisions, tradeoffs, risks, and progress. What you will do Build and maintain the Bond OS roadmap across patient, provider, clinic/admin, order, prescription, commerce, API, analytics, operations, and AI/ML surfaces. Translate client, user, clinical, operational, and technical insight into clear product direction. Partner with engineering on API contracts, schemas, state machines, validation behavior, performance, reliability, and integration boundaries. Partner with design on high-craft workflows that reduce cognitive load and make complex care operations feel clear. Prioritize the smallest valuable slices that improve the platform without creating long-term product debt. Lead applied AI/ML product discovery and write the first serious AI/ML PRDs for Bond OS. Define release gates for high-consequence workflows, including safety, auditability, permissions, i18n, test coverage, and operational fallbacks. Communicate roadmap priorities and tradeoffs to internal stakeholders and, where appropriate, strategic clients. Create the product discipline that lets a small, senior team move faster without becoming sloppy. The kind of person who will thrive here You are a systems thinker with strong product taste. You can reason from first principles, write clearly, and turn ambiguity into a concrete sequence of work. You are comfortable with product depth: workflows, APIs, data models, permissions, state machines, and edge cases are part of the job. You care about craft because in healthcare software, clarity is operational leverage. Good hierarchy, clear states, thoughtful defaults, precise language, and reliable fallbacks matter. The best product decisions make the system easier to understand for patients, providers, operators, clients, and engineers. You are also practical. You can hold a big platform vision while shipping small, high-quality slices. You know how to say yes by sequencing and how to say no by explaining tradeoffs. You can work with a lean team and still build something ambitious. Experience we value We care most about judgment, taste, execution, and technical credibility. Strong candidates may bring some combination of: 6+ years of product management or product leadership experience, ideally with ownership of complex software from strategy through launch. Experience building platform, SaaS, healthcare, fintech, logistics, marketplace, developer-platform, operations, commerce, or other high-consequence software. Healthcare, health-tech, telehealth, pharmacy, e-prescribing, care operations, or regulated-data experience. Experience working directly with customers or strategic clients and translating their needs into scalable product capabilities. Technical fluency: API contracts, schemas, state machines, data models, permissions, validation, integrations, observability, and engineering tradeoffs. Strong written communication: PRDs, specs, roadmap memos, technical decision documents, launch plans, and executive updates. Experience with AI/ML product development, especially evaluation, guardrails, human-in-the-loop UX, model observability, red-teaming, drift monitoring, and responsible release processes. Familiarity with healthcare data standards such as FHIR, SDC, HL7, or LOINC. Experience in a small or fast-moving team where product judgment mattered more than process weight. Background in engineering, design, data, operations, clinical workflows, or technical product management. What success looks like First 90 days You understand the Bond OS platform across patient, provider, clinic/admin, order, prescription, commerce, API, analytics, operations, and AI/ML surfaces. The product source of truth is accurate, sequenced, and useful to the team. You have shipped or materially advanced one meaningful cross-surface platform slice through the real quality bar. The next-quarter roadmap has clear priorities, explicit tradeoffs, dependency mapping, and measurable outcomes. The first applied AI/ML capability has a serious product plan: use case, eval set, guardrails, human review, logging, fallback behavior, monitoring, and launch criteria. Clients, users, engineers, design, and leadership can see how your product decisions make the platform clearer. First 12 months Bond OS feels more unified across patient, provider, admin, operations, and client-facing workflows. Intake reliably creates usable downstream context across care, operations, analytics, and AI/ML-assisted workflows. Orders, prescriptions, status, and fulfillment handoffs are clearer and more actionable. The platform has stronger primitives for permissions, auditability, taxonomy, analytics, and operational visibility. Applied AI/ML capabilities are in production or controlled rollout with evidence, oversight, and monitoring behind them. Strategic clients experience Bond OS as a more complete, coherent, and extensible care-delivery platform. How we work Platform first: surface work should strengthen shared primitives, contracts, workflows, and data. Patient context is the spine: intake, decisions, orders, prescriptions, communications, outcomes, analytics, and AI/ML artifacts should accrue to coherent patient context. Small slices, high bar: ship the smallest valuable slice that improves the platform without lowering quality. Contracts matter: API behavior, validation, permissions, audit logs, states, and data contracts are part of the product. AI/ML earns exposure: model-backed features ship with evaluation, guardrails, human oversight, observability, fallback behavior, and monitoring. Written decisions compound: clear product writing keeps a lean team aligned and makes tradeoffs durable. Craft is leverage: the product should feel fast, clear, safe, and intentional under real operational pressure. Hiring process Intro conversation focused on platform scope, product judgment, and role fit. Product leadership conversation around roadmap, tradeoffs, and client/user discovery. Technical product conversation around APIs, data models, workflow states, and execution quality. Paid work sample or case discussion using a redacted Bond OS scenario. Final conversation with leadership. How to apply Send your resume including your LinkedIn profile link. A product artifact is encouraged but not required: a PRD, roadmap memo, technical decision document, launch plan, or case study that shows how you think and write.Pay Range$120,000—$300,000 USDBenefits: 401(k) with up to 4% matching Medical, dental, vision and life insurance Paid time off that grows with your tenure Core Values The Pharmacy Hub is dedicated to breaking barriers in healthcare by championing access, intervention and affordability. Customer-first mindset - we develop strong partnerships with telehealth platforms and healthcare companies to enhance access and understand their specific needs Innovation for intervention in care - we develop advanced compounding solutions and products to better support patient health outcomes Continuous improvement - we continuously improve our processes and offerings through intelligent, honest and transparent practices to deliver cost-effective solutions that truly benefit our clients and their patients. You will play a pivotal role in maintaining these values and contributing to the company's mission of redefining healthcare delivery through superior pharmacy services At The Pharmacy Hub, we don't just offer jobs—we offer opportunities for career growth and development. We take pride in our fast-paced, team-driven culture and are committed to supporting our employees in achieving success. If you're ready to join a company that values hard work, dedication, and teamwork, apply today! We look forward to welcoming you to The Pharmacy Hub and working together to deliver top-tier pharmacy fulfillment solutions. The Pharmacy Hub is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age (40 or older), disability, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Applicants requiring a reasonable accommodation to participate in the hiring process are encouraged to indicate this in their application. The Pharmacy Hub participates in E-Verify. A post-offer background check is required for all positions. Additional pre-employment screenings may apply depending on the role.

🏢 Summary: Senior leadership role responsible for building and leading the entire quality and compliance function for pharmaceutical compounding and fulfillment operations. The position oversees regulatory compliance, inspection readiness, quality systems, QA/QC, internal audits, and supplier quality while partnering cross-functionally to establish a culture of quality and continuous improvement. This onsite role requires extensive pharmaceutical quality leadership experience and deep knowledge of USP standards and regulatory frameworks. 🗂️ Requirements: Bachelor's Degree in Pharmacy, Pharmaceutical Sciences, Chemistry, Biology, Engineering, or related field, Minimum 10+ years of pharmaceutical quality leadership experience, Minimum 5+ years leading quality teams, Strong knowledge of USP <795>, USP <797>, USP <800>, Strong knowledge of cGMP principles, Strong knowledge of State Board of Pharmacy regulations, Strong knowledge of DEA compliance, Experience leading regulatory inspections, Experience developing and implementing quality systems from the ground up, Full-time onsite availability with travel between Davie, FL and Miami Gardens, FL 📃 Skills: USP795, USP797, USP800, cGMP, CAPA, Deviation, ChangeControl, RiskManagement, InternalAudit, QualityControl, QualityAssurance, BatchReview, EnvironmentalMonitoring, Microbiology, StabilityTesting, PotencyTesting, SupplierQualification, DocumentControl, Lean, SixSigma, DSCSA, FDA, DEA, NABP, OSHA 🏢 Description: About Us At The Pharmacy Hub, we collaborate with pharmaceutical brands, manufacturers, health brands, telemedicine providers, and healthcare companies to deliver essential products directly to patients. Our expertise allows us to seamlessly distribute pharmaceuticals, medical devices, and other healthcare products to consumers, ensuring greater accessibility and convenience. The Head of Quality & Compliance is a senior leadership position responsible for building and leading a world-class quality organization from the ground up. This role partners across Operations, Production, R&D, Procurement, Engineering, and Executive Leadership to establish a culture of quality, compliance, and continuous improvement across compounding and fulfillment operations. Quality Leadership Serve as the senior quality leader for all quality-related functions Develop and execute the organization's quality strategy and roadmap Establish a culture of quality, accountability, compliance, and continuous improvement Partner with Operations, Production, R&D, Procurement, Engineering, and Executive Leadership Regulatory Compliance Ensure and maintain ongoing compliance with all applicable regulations and standards, including: USP <795>, USP <797>, and USP <800> State Board of Pharmacy and DEA regulations FDA guidance documents and DSCSA requirements NABP requirements, OSHA regulations, and Hazardous Drug handling requirements Maintain inspection readiness at all times Inspection Readiness Program Develop and lead a formal Inspection Readiness Program with mock inspections Lead regulatory inspections and manage corrective and preventive actions (CAPAs) Coordinate responses to State Boards of Pharmacy, NABP, DEA, FDA, and client audits Quality Systems Development Build and maintain comprehensive quality systems including: CAPA, Deviation, Change Control, Risk Management, and Complaint Programs Supplier Qualification, Training, and Annual Product Review Programs Internal Audit, Quality Metrics, Document Control, and Batch Record Review Programs Quality Assurance Oversee batch record review and release Manage SOP lifecycle and governance Approve investigations and CAPAs Monitor quality trends and KPIs Review environmental monitoring and facility performance Lead product quality reviews Quality Control Build and manage QC laboratories and establish testing programs Oversee identity testing, potency testing, microbiology, stability, water quality, and environmental monitoring Manage incoming material qualification Internal Audit Program Build an internal auditing team and develop annual audit schedules Conduct facility, process, documentation, vendor, and client audits Proactively identify compliance gaps before regulatory agencies do Supplier & Vendor Quality Qualify suppliers and vendors; conduct risk assessments and vendor audits Oversee quality agreements Training & Development Develop a comprehensive quality training program for pharmacists, technicians, quality personnel, and operations teams Ensure competency assessments are completed and documented Continuous Improvement & Team Building Apply Lean, Six Sigma, and risk-based quality principles to reduce deviations, errors, rework, waste, and complaints Build and lead Quality Assurance, Quality Control, Internal Audit, Compliance, Document Control, Validation, and Training teams Qualifications Required Bachelor's Degree in Pharmacy, Pharmaceutical Sciences, Chemistry, Biology, Engineering, or related field Minimum 10+ years of pharmaceutical quality leadership experience Minimum 5+ years leading quality teams Strong knowledge of USP <795>, USP <797>, USP <800>, cGMP principles, State Board of Pharmacy regulations, and DEA compliance Demonstrated experience leading regulatory inspections and developing quality systems from the ground up Preferred PharmD, MS, or MBA Certified Quality Auditor (CQA) or Certified Quality Engineer (CQE) Lean Six Sigma certification Experience in 503A Compounding, 503B Outsourcing Facilities, Pharmaceutical Manufacturing, or High-Volume Fulfillment Operations Schedule Full-time, 100% onsite position Work location: Davie, FL and Miami Gardens, FL (travel between locations as business needs require) Monday–Friday Occasional weekend work may be required based on business needs Pay Range $148,000—$182,000 USD Benefits: 401(k) with up to 4% matching Medical, dental, vision and life insurance Paid time off Core Values The Pharmacy Hub is dedicated to breaking barriers in healthcare by championing access, intervention and affordability. Customer-first mindset - we develop strong partnerships with telehealth platforms and healthcare companies to enhance access and understand their specific needs Innovation for intervention in care - we develop advanced compounding solutions and products to better support patient health outcomes Continuous improvement - we continuously improve our processes and offerings through intelligent, honest and transparent practices to deliver cost-effective solutions that truly benefit our clients and their patients. You will play a pivotal role in maintaining these values and contributing to the company's mission of redefining healthcare delivery through superior pharmacy services. The Pharmacy Hub is an Equal Opportunity Employer. The Pharmacy Hub participates in E-Verify. A post-offer background check is required for all positions. Additional pre-employment screenings may apply depending on the role.

🏢 Summary: Senior leadership role responsible for building and leading the entire Quality & Compliance function across compounding and fulfillment operations, ensuring full regulatory compliance and inspection readiness. The position establishes and oversees comprehensive quality systems, regulatory programs, QC laboratories, and internal audit processes while partnering cross-functionally to drive continuous improvement. This is a full-time onsite role with oversight of quality assurance, quality control, supplier quality, and regulatory inspections. 🗂️ Requirements: Bachelor's Degree in Pharmacy, Pharmaceutical Sciences, Chemistry, Biology, Engineering, or related field, 10+ years of pharmaceutical quality leadership experience, 5+ years leading quality teams, Strong knowledge of USP <795>, USP <797>, USP <800>, Strong knowledge of cGMP principles, Knowledge of State Board of Pharmacy regulations, Knowledge of DEA compliance requirements, Experience leading regulatory inspections, Experience developing quality systems from the ground up 📃 Skills: USP795, USP797, USP800, cGMP, DEA, FDA, DSCSA, NABP, OSHA, CAPA, ChangeControl, RiskManagement, Lean, SixSigma, Microbiology, StabilityTesting, EnvironmentalMonitoring, QualityAssurance, QualityControl, InternalAudit 🏢 Description: About Us At The Pharmacy Hub, we collaborate with pharmaceutical brands, manufacturers, health brands, telemedicine providers, and healthcare companies to deliver essential products directly to patients. Our expertise allows us to seamlessly distribute pharmaceuticals, medical devices, and other healthcare products to consumers, ensuring greater accessibility and convenience. The Head of Quality & Compliance is a senior leadership position responsible for building and leading a world-class quality organization from the ground up. This role partners across Operations, Production, R&D, Procurement, Engineering, and Executive Leadership to establish a culture of quality, compliance, and continuous improvement across compounding and fulfillment operations. Quality Leadership Serve as the senior quality leader for all quality-related functions Develop and execute the organization's quality strategy and roadmap Establish a culture of quality, accountability, compliance, and continuous improvement Partner with Operations, Production, R&D, Procurement, Engineering, and Executive Leadership Regulatory Compliance Ensure and maintain ongoing compliance with all applicable regulations and standards, including: USP <795>, USP <797>, and USP <800> State Board of Pharmacy and DEA regulations FDA guidance documents and DSCSA requirements NABP requirements, OSHA regulations, and Hazardous Drug handling requirements Maintain inspection readiness at all times Inspection Readiness Program Develop and lead a formal Inspection Readiness Program with mock inspections Lead regulatory inspections and manage corrective and preventive actions (CAPAs) Coordinate responses to State Boards of Pharmacy, NABP, DEA, FDA, and client audits Quality Systems Development Build and maintain comprehensive quality systems including: CAPA, Deviation, Change Control, Risk Management, and Complaint Programs Supplier Qualification, Training, and Annual Product Review Programs Internal Audit, Quality Metrics, Document Control, and Batch Record Review Programs Quality Assurance Oversee batch record review and release Manage SOP lifecycle and governance Approve investigations and CAPAs Monitor quality trends and KPIs Review environmental monitoring and facility performance Lead product quality reviews Quality Control Build and manage QC laboratories and establish testing programs Oversee identity testing, potency testing, microbiology, stability, water quality, and environmental monitoring Manage incoming material qualification Internal Audit Program Build an internal auditing team and develop annual audit schedules Conduct facility, process, documentation, vendor, and client audits Proactively identify compliance gaps before regulatory agencies do Supplier & Vendor Quality Qualify suppliers and vendors; conduct risk assessments and vendor audits Oversee quality agreements Training & Development Develop a comprehensive quality training program for pharmacists, technicians, quality personnel, and operations teams Ensure competency assessments are completed and documented Continuous Improvement & Team Building Apply Lean, Six Sigma, and risk-based quality principles to reduce deviations, errors, rework, waste, and complaints Build and lead Quality Assurance, Quality Control, Internal Audit, Compliance, Document Control, Validation, and Training teams Qualifications Required Bachelor's Degree in Pharmacy, Pharmaceutical Sciences, Chemistry, Biology, Engineering, or related field Minimum 10+ years of pharmaceutical quality leadership experience Minimum 5+ years leading quality teams Strong knowledge of USP <795>, USP <797>, USP <800>, cGMP principles, State Board of Pharmacy regulations, and DEA compliance Demonstrated experience leading regulatory inspections and developing quality systems from the ground up Preferred PharmD, MS, or MBA Certified Quality Auditor (CQA) or Certified Quality Engineer (CQE) Lean Six Sigma certification Experience in 503A Compounding, 503B Outsourcing Facilities, Pharmaceutical Manufacturing, or High-Volume Fulfillment Operations Schedule Full-time, 100% onsite position Work location: Davie, FL and Miami Gardens, FL (travel between locations as business needs require) Monday–Friday Occasional weekend work may be required based on business needs Pay Range $148,000—$182,000 USD Benefits: 401(k) with up to 4% matching Medical, dental, vision and life insurance Paid time off Core Values The Pharmacy Hub is dedicated to breaking barriers in healthcare by championing access, intervention and affordability. Customer-first mindset - we develop strong partnerships with telehealth platforms and healthcare companies to enhance access and understand their specific needs Innovation for intervention in care - we develop advanced compounding solutions and products to better support patient health outcomes Continuous improvement - we continuously improve our processes and offerings through intelligent, honest and transparent practices to deliver cost-effective solutions that truly benefit our clients and their patients. You will play a pivotal role in maintaining these values and contributing to the company's mission of redefining healthcare delivery through superior pharmacy services. The Pharmacy Hub is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age (40 or older), disability, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Applicants requiring a reasonable accommodation to participate in the hiring process are encouraged to indicate this in their application. The Pharmacy Hub participates in E-Verify. A post-offer background check is required for all positions. Additional pre-employment screenings may apply depending on the role.

🏢 Summary: Senior leadership role responsible for building and leading the entire quality and compliance function for pharmaceutical compounding and fulfillment operations. The position oversees regulatory compliance, inspection readiness, quality systems, QA/QC, internal audits, supplier quality, and continuous improvement initiatives. The role requires extensive experience in pharmaceutical quality leadership and deep knowledge of USP standards and regulatory requirements. 🗂️ Requirements: Bachelor's degree in Pharmacy, Pharmaceutical Sciences, Chemistry, Biology, Engineering, or related field, 10+ years of pharmaceutical quality leadership experience, 5+ years leading quality teams, Strong knowledge of USP <795>, USP <797>, USP <800>, Strong knowledge of cGMP principles, Knowledge of State Board of Pharmacy regulations, Knowledge of DEA compliance requirements, Experience leading regulatory inspections, Experience developing quality systems from the ground up 📃 Skills: USP795, USP797, USP800, cGMP, CAPA, Deviation, ChangeControl, RiskManagement, Audit, QC, QA, DSCSA, FDA, DEA, NABP, OSHA, Lean, SixSigma, Microbiology, StabilityTesting, EnvironmentalMonitoring 🏢 Description: About Us At The Pharmacy Hub, we collaborate with pharmaceutical brands, manufacturers, health brands, telemedicine providers, and healthcare companies to deliver essential products directly to patients. Our expertise allows us to seamlessly distribute pharmaceuticals, medical devices, and other healthcare products to consumers, ensuring greater accessibility and convenience. The Head of Quality & Compliance is a senior leadership position responsible for building and leading a world-class quality organization from the ground up. This role partners across Operations, Production, R&D, Procurement, Engineering, and Executive Leadership to establish a culture of quality, compliance, and continuous improvement across compounding and fulfillment operations. Quality Leadership - Serve as the senior quality leader for all quality-related functions - Develop and execute the organization's quality strategy and roadmap - Establish a culture of quality, accountability, compliance, and continuous improvement - Partner with Operations, Production, R&D, Procurement, Engineering, and Executive Leadership Regulatory Compliance Ensure and maintain ongoing compliance with all applicable regulations and standards, including: - USP <795>, USP <797>, and USP <800> - State Board of Pharmacy and DEA regulations - FDA guidance documents and DSCSA requirements - NABP requirements, OSHA regulations, and Hazardous Drug handling requirements - Maintain inspection readiness at all times Inspection Readiness Program - Develop and lead a formal Inspection Readiness Program with mock inspections - Lead regulatory inspections and manage corrective and preventive actions (CAPAs) - Coordinate responses to State Boards of Pharmacy, NABP, DEA, FDA, and client audits Quality Systems Development Build and maintain comprehensive quality systems including: - CAPA, Deviation, Change Control, Risk Management, and Complaint Programs - Supplier Qualification, Training, and Annual Product Review Programs - Internal Audit, Quality Metrics, Document Control, and Batch Record Review Programs Quality Assurance - Oversee batch record review and release - Manage SOP lifecycle and governance - Approve investigations and CAPAs - Monitor quality trends and KPIs - Review environmental monitoring and facility performance - Lead product quality reviews Quality Control - Build and manage QC laboratories and establish testing programs - Oversee identity testing, potency testing, microbiology, stability, water quality, and environmental monitoring - Manage incoming material qualification Internal Audit Program - Build an internal auditing team and develop annual audit schedules - Conduct facility, process, documentation, vendor, and client audits - Proactively identify compliance gaps before regulatory agencies do Supplier & Vendor Quality - Qualify suppliers and vendors; conduct risk assessments and vendor audits - Oversee quality agreements Training & Development - Develop a comprehensive quality training program for pharmacists, technicians, quality personnel, and operations teams - Ensure competency assessments are completed and documented Continuous Improvement & Team Building - Apply Lean, Six Sigma, and risk-based quality principles to reduce deviations, errors, rework, waste, and complaints - Build and lead Quality Assurance, Quality Control, Internal Audit, Compliance, Document Control, Validation, and Training teams Qualifications Required - Bachelor's Degree in Pharmacy, Pharmaceutical Sciences, Chemistry, Biology, Engineering, or related field - Minimum 10+ years of pharmaceutical quality leadership experience - Minimum 5+ years leading quality teams - Strong knowledge of USP <795>, USP <797>, USP <800>, cGMP principles, State Board of Pharmacy regulations, and DEA compliance - Demonstrated experience leading regulatory inspections and developing quality systems from the ground up Preferred - PharmD, MS, or MBA - Certified Quality Auditor (CQA) or Certified Quality Engineer (CQE) - Lean Six Sigma certification - Experience in 503A Compounding, 503B Outsourcing Facilities, Pharmaceutical Manufacturing, or High-Volume Fulfillment Operations Schedule - Full-time, 100% onsite position - Work location: Davie, FL and Miami Gardens, FL (travel between locations as business needs require) - Monday–Friday - Occasional weekend work may be required based on business needs Pay Range $148,000—$182,000 USD Benefits: - 401(k) with up to 4% matching - Medical, dental, vision and life insurance - Paid time off Core Values The Pharmacy Hub is dedicated to breaking barriers in healthcare by championing access, intervention and affordability. Customer-first mindset - develop strong partnerships with telehealth platforms and healthcare companies to enhance access and understand their specific needs Innovation for intervention in care - develop advanced compounding solutions and products to better support patient health outcomes Continuous improvement - continuously improve processes and offerings through intelligent, honest and transparent practices to deliver cost-effective solutions that benefit clients and patients You will play a pivotal role in maintaining these values and contributing to the mission of redefining healthcare delivery through superior pharmacy services. The Pharmacy Hub is an Equal Opportunity Employer. The Pharmacy Hub participates in E-Verify. A post-offer background check is required for all positions. Additional pre-employment screenings may apply depending on the role.

🏢 Summary: Hands-on Forward Deployed AI Product Manager role focused on building and deploying AI-powered workflows for clinical research operations. The position combines product management, AI application development, and cross-functional collaboration to improve operational efficiency and scalability. Candidates will work with LLMs, workflow automation, and healthcare-related systems in a fast-moving, iterative environment. 🗂️ Requirements: 4+ years building and shipping software products, AI applications, technical solutions, or production systems, Experience with large language models, prompt engineering, agent design, RAG, evaluation frameworks, and workflow automation, Strong technical fluency with modern AI development workflows and tooling, Experience translating business problems into scalable technical solutions, Familiarity with Python, Ability to work with engineering and technical teams throughout implementation, Strong written and verbal communication skills, Ability to prioritize and drive outcomes in ambiguous environments 📃 Skills: Python, LLM, RAG, AI, LangGraph, AgentCore, FHIR, OMOP, HIPAA, GxP, EMR 🏢 Description: Iterative Health is a healthcare technology and services company powering the acceleration of clinical research to transform patient outcomes. We built a leading performance-driven network of 100+ sites across the US, Europe, India, and Australia, conducting research directly in the communities where care is delivered across gastrointestinal, hepatology, obesity, and cardiology. By combining deep clinical trial expertise with cutting-edge AI, we connect sponsors' scientific ambitions with high-performing research teams that expedite and expand access to novel therapeutics for patients in need. Today, Iterative Health is headquartered in Cambridge, Massachusetts, and New York City with 250+ employees world-wide. At Iterative Health, we are transforming clinical research through the power of AI, technology, and human expertise. Iterative Health is a healthcare technology and services company powering the acceleration of clinical research to improve patient outcomes. Through the Iterative Health Site Network — a premier network of 100+ clinical research sites across the US and Europe — we help expand and expedite access to novel therapeutics for patients in need. Accelerating clinical research is one of the defining challenges in healthcare. Promising therapies exist that patients can't access because the operational infrastructure to run clinical trials efficiently doesn't exist yet. We're building it. Why This Role Matters As a Forward Deployed AI Product Manager at Iterative Health, you will work cross functionally to identify, build, and deploy AI-powered solutions that transform how clinical research operations are executed. This is a highly hands-on role that sits at the intersection of product, engineering, and operations. You will partner closely with end users to understand their workflows, identify opportunities where AI can create meaningful leverage, rapidly prototype solutions, and deploy them into production. The ideal candidate combines strong product instincts with technical fluency and a builder mentality. You are equally comfortable sitting alongside a clinical operator to understand a workflow as you are working with engineers and AI tooling to bring a solution to life. You will work across Clinical Operations, Site Operations, Trial Enrollment, Business Development, and Corporate Functions, identifying high-impact opportunities and owning them from concept through deployment and adoption. This role reports to the Product organization and partners closely with Engineering, Data Science, Security, and Operational Leadership teams. Where You'll Drive Impact Embed within internal business teams to deeply understand workflows, decision-making processes, pain points, and opportunities for automation and augmentation Translate complex operational challenges into well-defined AI solutions with measurable business outcomes Design, prototype, and deploy AI-powered workflows and agentic systems leveraging modern LLM platforms, orchestration frameworks, and internal data infrastructure Own the full product lifecycle, including discovery, solution design, implementation, testing, rollout, adoption, and ongoing optimization Establish evaluation frameworks that measure AI performance against operational, quality, and business outcomes Partner with engineering, data, and security teams to ensure solutions meet company standards for reliability, governance, compliance, and scalability Work through the operational and technical details required to move solutions from proof-of-concept to production Identify patterns and opportunities that can evolve from one-off solutions into reusable platform capabilities Bring field insights and learnings back to Product and Engineering leadership to inform future investment decisions and product strategy Contribute to the evolution of Iterative Health's AI operating model, including tooling, evaluation methodologies, governance practices, and development standards Travel occasionally to business units, research sites, and company offices as needed (estimated less than 15%) Perform related duties as requested You Might Thrive in This Role If You enjoy operating in highly ambiguous environments and creating structure where none exists You are equally effective working with executives, operators, engineers, and data scientists You can quickly understand how people actually work and identify opportunities to improve workflows through technology You value rapid experimentation and iterative learning over lengthy planning cycles You have strong judgment about where AI adds value and where traditional solutions may be more appropriate You are energized by building and deploying solutions that create immediate impact for users You are comfortable moving between strategy, execution, and hands-on problem solving What Success Looks Like Within your first 12 months, you will: Deploy multiple AI-powered workflows that deliver measurable improvements in efficiency, quality, speed, or user experience Establish trusted partnerships with operational teams across the organization Develop repeatable frameworks for evaluating and scaling AI applications Identify and help operationalize reusable platform capabilities that accelerate future AI development Drive meaningful adoption of AI solutions across key business functions How We Work Collaborative and low-ego team environment Fast-moving and highly iterative culture Strong focus on ownership and accountability Mission-driven and patient-centered mindset Open communication and continuous learning Comfortable navigating evolving business needs What You Bring to the Team 4+ years of experience building and shipping software products, AI applications, technical solutions, or production systems Hands-on experience working with large language models, including prompt engineering, agent design, retrieval-augmented generation (RAG), evaluation frameworks, and workflow automation Strong technical fluency with modern AI development workflows and tooling Experience collaborating directly with end users to understand business problems and translate them into scalable solutions Familiarity with programming languages such as Python and the ability to work effectively with technical teams throughout implementation Ability to navigate ambiguity, prioritize effectively, and drive outcomes with limited direction Strong written and verbal communication skills with the ability to engage both technical and non-technical audiences Demonstrated ownership mindset and bias toward action Preferred Experience in healthcare, clinical research, or another regulated domain (HIPAA, GxP, financial services) Background as a technical founder, early engineer at a startup, or in a customer-facing engineering role (FDE, solutions engineering, applied AI) Interest in growing toward a senior product role over time — this role is designed as a natural bridge Experience with agent frameworks (Claude Agent SDK, LangGraph, AgentCore, etc.), MCP servers, or production LLM evaluation tooling Familiarity with EMR systems, clinical trial operations, or healthcare data standards (FHIR, OMOP) Experience working with messy, real-world data and turning it into something useful without pretending it's clean Benefits That Support You We believe great teams do their best work when they feel supported — professionally and personally. Hybrid work environment with in-office collaboration two days per week in either our NYC or Boston office Comprehensive medical, dental, and vision coverage, with up to 80% of premiums covered by Iterative Health Mental health and wellness support through Spring Health Health HSA or FSA options, and commuter FSA contributions supported by Iterative Health Unlimited PTO, 12 company holidays, and a company-wide shutdown between Christmas and New Years 401(k) program with a company match of up to 3% (up to $3,000 annually) Weekly in-office lunch benefit every Tuesday 100% company-paid short-term and long-term disability coverage Annual wellness and professional development stipend to support your health and growth And more! At Iterative Health, we believe great people drive innovation. If you're excited about helping transform the future of clinical research while building scalable people strategies that support growth and impact, we encourage you to apply. New York pay range$170,000—$250,000 USDAt Iterative Health, we're actively working towards creating an environment that is representative of the diversity of patients our technology serves. We are focused on building an equitable and inclusive culture, and by extension, hiring process. If you require any accommodations to make the application process or interviewing experience more accessible to you, please contact CandidateAccommodations@iterative.health.

🏢 Summary: Hands-on Forward Deployed AI Product Manager role focused on building and deploying AI-powered workflows and agentic systems for clinical research operations. The position combines product management, AI development, and operational collaboration to improve efficiency, scalability, and user experience across healthcare research functions. The role offers hybrid work in NYC or Boston with strong benefits and opportunities to shape enterprise AI strategy and platforms. 🗂️ Requirements: 4+ years building and shipping software products, AI applications, or production systems, Experience with large language models, Experience with prompt engineering, Experience with agent design, Experience with retrieval-augmented generation, Experience with workflow automation, Strong technical fluency with modern AI development tooling, Ability to collaborate with end users and translate business problems into scalable solutions, Familiarity with Python, Strong written and verbal communication skills, Ability to work with technical and non-technical teams, Ability to navigate ambiguity and drive outcomes 📃 Skills: Python, LLM, RAG, AI, LangGraph, FHIR, OMOP, HIPAA, GxP, EMR, AgentCore, SDK 🏢 Description: Iterative Health is a healthcare technology and services company powering the acceleration of clinical research to transform patient outcomes. We built a leading performance-driven network of 100+ sites across the US, Europe, India, and Australia, conducting research directly in the communities where care is delivered across gastrointestinal, hepatology, obesity, and cardiology. By combining deep clinical trial expertise with cutting-edge AI, we connect sponsors' scientific ambitions with high-performing research teams that expedite and expand access to novel therapeutics for patients in need. Today, Iterative Health is headquartered in Cambridge, Massachusetts, and New York City with 250+ employees world-wide. At Iterative Health, we are transforming clinical research through the power of AI, technology, and human expertise. Iterative Health is a healthcare technology and services company powering the acceleration of clinical research to improve patient outcomes. Through the Iterative Health Site Network — a premier network of 100+ clinical research sites across the US and Europe — we help expand and expedite access to novel therapeutics for patients in need. Accelerating clinical research is one of the defining challenges in healthcare. Promising therapies exist that patients can't access because the operational infrastructure to run clinical trials efficiently doesn't exist yet. We're building it. Why This Role Matters As a Forward Deployed AI Product Manager at Iterative Health, you will work cross functionally to identify, build, and deploy AI-powered solutions that transform how clinical research operations are executed. This is a highly hands-on role that sits at the intersection of product, engineering, and operations. You will partner closely with end users to understand their workflows, identify opportunities where AI can create meaningful leverage, rapidly prototype solutions, and deploy them into production. The ideal candidate combines strong product instincts with technical fluency and a builder mentality. You are equally comfortable sitting alongside a clinical operator to understand a workflow as you are working with engineers and AI tooling to bring a solution to life. You will work across Clinical Operations, Site Operations, Trial Enrollment, Business Development, and Corporate Functions, identifying high-impact opportunities and owning them from concept through deployment and adoption. This role reports to the Product organization and partners closely with Engineering, Data Science, Security, and Operational Leadership teams. Where You'll Drive Impact Embed within internal business teams to deeply understand workflows, decision-making processes, pain points, and opportunities for automation and augmentation Translate complex operational challenges into well-defined AI solutions with measurable business outcomes Design, prototype, and deploy AI-powered workflows and agentic systems leveraging modern LLM platforms, orchestration frameworks, and internal data infrastructure Own the full product lifecycle, including discovery, solution design, implementation, testing, rollout, adoption, and ongoing optimization Establish evaluation frameworks that measure AI performance against operational, quality, and business outcomes Partner with engineering, data, and security teams to ensure solutions meet company standards for reliability, governance, compliance, and scalability Work through the operational and technical details required to move solutions from proof-of-concept to production Identify patterns and opportunities that can evolve from one-off solutions into reusable platform capabilities Bring field insights and learnings back to Product and Engineering leadership to inform future investment decisions and product strategy Contribute to the evolution of Iterative Health's AI operating model, including tooling, evaluation methodologies, governance practices, and development standards Travel occasionally to business units, research sites, and company offices as needed (estimated less than 15%) Perform related duties as requested You Might Thrive in This Role If You enjoy operating in highly ambiguous environments and creating structure where none exists You are equally effective working with executives, operators, engineers, and data scientists You can quickly understand how people actually work and identify opportunities to improve workflows through technology You value rapid experimentation and iterative learning over lengthy planning cycles You have strong judgment about where AI adds value and where traditional solutions may be more appropriate You are energized by building and deploying solutions that create immediate impact for users You are comfortable moving between strategy, execution, and hands-on problem solving What Success Looks Like Within your first 12 months, you will: Deploy multiple AI-powered workflows that deliver measurable improvements in efficiency, quality, speed, or user experience Establish trusted partnerships with operational teams across the organization Develop repeatable frameworks for evaluating and scaling AI applications Identify and help operationalize reusable platform capabilities that accelerate future AI development Drive meaningful adoption of AI solutions across key business functions How We Work Collaborative and low-ego team environment Fast-moving and highly iterative culture Strong focus on ownership and accountability Mission-driven and patient-centered mindset Open communication and continuous learning Comfortable navigating evolving business needs What You Bring to the Team 4+ years of experience building and shipping software products, AI applications, technical solutions, or production systems Hands-on experience working with large language models, including prompt engineering, agent design, retrieval-augmented generation (RAG), evaluation frameworks, and workflow automation Strong technical fluency with modern AI development workflows and tooling Experience collaborating directly with end users to understand business problems and translate them into scalable solutions Familiarity with programming languages such as Python and the ability to work effectively with technical teams throughout implementation Ability to navigate ambiguity, prioritize effectively, and drive outcomes with limited direction Strong written and verbal communication skills with the ability to engage both technical and non-technical audiences Demonstrated ownership mindset and bias toward action Preferred Experience in healthcare, clinical research, or another regulated domain (HIPAA, GxP, financial services) Background as a technical founder, early engineer at a startup, or in a customer-facing engineering role (FDE, solutions engineering, applied AI) Interest in growing toward a senior product role over time — this role is designed as a natural bridge Experience with agent frameworks (Claude Agent SDK, LangGraph, AgentCore, etc.), MCP servers, or production LLM evaluation tooling Familiarity with EMR systems, clinical trial operations, or healthcare data standards (FHIR, OMOP) Experience working with messy, real-world data and turning it into something useful without pretending it's clean Benefits That Support You We believe great teams do their best work when they feel supported — professionally and personally. Hybrid work environment with in-office collaboration two days per week in either our NYC or Boston office Comprehensive medical, dental, and vision coverage, with up to 80% of premiums covered by Iterative Health Mental health and wellness support through Spring Health Health HSA or FSA options, and commuter FSA contributions supported by Iterative Health Unlimited PTO, 12 company holidays, and a company-wide shutdown between Christmas and New Years 401(k) program with a company match of up to 3% (up to $3,000 annually) Weekly in-office lunch benefit every Tuesday 100% company-paid short-term and long-term disability coverage Annual wellness and professional development stipend to support your health and growth And more! At Iterative Health, we believe great people drive innovation. If you're excited about helping transform the future of clinical research while building scalable people strategies that support growth and impact, we encourage you to apply. New York pay range$170,000—$250,000 USDAt Iterative Health, we're actively working towards creating an environment that is representative of the diversity of patients our technology serves. We are focused on building an equitable and inclusive culture, and by extension, hiring process. If you require any accommodations to make the application process or interviewing experience more accessible to you, please contact CandidateAccommodations@iterative.health.

🏢 Summary: Forward Deployed AI Product Manager role focused on building and deploying AI-powered workflows for clinical research operations. The position combines product management, AI solution development, and cross-functional collaboration to improve operational efficiency and scalability in healthcare research environments. Candidates will work closely with engineering, data, and operational teams to deliver production-ready AI systems using modern LLM technologies. 🗂️ Requirements: 4+ years building and shipping software products, AI applications, technical solutions, or production systems, Hands-on experience with large language models, Experience with prompt engineering, agent design, RAG, evaluation frameworks, and workflow automation, Strong technical fluency with modern AI development workflows and tooling, Experience translating business problems into scalable technical solutions, Familiarity with Python, Ability to work with technical and non-technical stakeholders, Strong written and verbal communication skills, Ability to navigate ambiguity and prioritize effectively 📃 Skills: Python, LLM, RAG, LangGraph, FHIR, OMOP, HIPAA, GxP, AI, EMR 🏢 Description: Iterative Health is a healthcare technology and services company powering the acceleration of clinical research to transform patient outcomes. We built a leading performance-driven network of 100+ sites across the US, Europe, India, and Australia, conducting research directly in the communities where care is delivered across gastrointestinal, hepatology, obesity, and cardiology. By combining deep clinical trial expertise with cutting-edge AI, we connect sponsors' scientific ambitions with high-performing research teams that expedite and expand access to novel therapeutics for patients in need. Today, Iterative Health is headquartered in Cambridge, Massachusetts, and New York City with 250+ employees world-wide. At Iterative Health, we are transforming clinical research through the power of AI, technology, and human expertise. Iterative Health is a healthcare technology and services company powering the acceleration of clinical research to improve patient outcomes. Through the Iterative Health Site Network — a premier network of 100+ clinical research sites across the US and Europe — we help expand and expedite access to novel therapeutics for patients in need. Accelerating clinical research is one of the defining challenges in healthcare. Promising therapies exist that patients can't access because the operational infrastructure to run clinical trials efficiently doesn't exist yet. We're building it. Why This Role Matters As a Forward Deployed AI Product Manager at Iterative Health, you will work cross functionally to identify, build, and deploy AI-powered solutions that transform how clinical research operations are executed. This is a highly hands-on role that sits at the intersection of product, engineering, and operations. You will partner closely with end users to understand their workflows, identify opportunities where AI can create meaningful leverage, rapidly prototype solutions, and deploy them into production. The ideal candidate combines strong product instincts with technical fluency and a builder mentality. You are equally comfortable sitting alongside a clinical operator to understand a workflow as you are working with engineers and AI tooling to bring a solution to life. You will work across Clinical Operations, Site Operations, Trial Enrollment, Business Development, and Corporate Functions, identifying high-impact opportunities and owning them from concept through deployment and adoption. This role reports to the Product organization and partners closely with Engineering, Data Science, Security, and Operational Leadership teams. Where You'll Drive Impact Embed within internal business teams to deeply understand workflows, decision-making processes, pain points, and opportunities for automation and augmentation Translate complex operational challenges into well-defined AI solutions with measurable business outcomes Design, prototype, and deploy AI-powered workflows and agentic systems leveraging modern LLM platforms, orchestration frameworks, and internal data infrastructure Own the full product lifecycle, including discovery, solution design, implementation, testing, rollout, adoption, and ongoing optimization Establish evaluation frameworks that measure AI performance against operational, quality, and business outcomes Partner with engineering, data, and security teams to ensure solutions meet company standards for reliability, governance, compliance, and scalability Work through the operational and technical details required to move solutions from proof-of-concept to production Identify patterns and opportunities that can evolve from one-off solutions into reusable platform capabilities Bring field insights and learnings back to Product and Engineering leadership to inform future investment decisions and product strategy Contribute to the evolution of Iterative Health's AI operating model, including tooling, evaluation methodologies, governance practices, and development standards Travel occasionally to business units, research sites, and company offices as needed (estimated less than 15%) Perform related duties as requested You Might Thrive in This Role If You enjoy operating in highly ambiguous environments and creating structure where none exists You are equally effective working with executives, operators, engineers, and data scientists You can quickly understand how people actually work and identify opportunities to improve workflows through technology You value rapid experimentation and iterative learning over lengthy planning cycles You have strong judgment about where AI adds value and where traditional solutions may be more appropriate You are energized by building and deploying solutions that create immediate impact for users You are comfortable moving between strategy, execution, and hands-on problem solving What Success Looks Like Within your first 12 months, you will: Deploy multiple AI-powered workflows that deliver measurable improvements in efficiency, quality, speed, or user experience Establish trusted partnerships with operational teams across the organization Develop repeatable frameworks for evaluating and scaling AI applications Identify and help operationalize reusable platform capabilities that accelerate future AI development Drive meaningful adoption of AI solutions across key business functions How We Work Collaborative and low-ego team environment Fast-moving and highly iterative culture Strong focus on ownership and accountability Mission-driven and patient-centered mindset Open communication and continuous learning Comfortable navigating evolving business needs What You Bring to the Team 4+ years of experience building and shipping software products, AI applications, technical solutions, or production systems Hands-on experience working with large language models, including prompt engineering, agent design, retrieval-augmented generation (RAG), evaluation frameworks, and workflow automation Strong technical fluency with modern AI development workflows and tooling Experience collaborating directly with end users to understand business problems and translate them into scalable solutions Familiarity with programming languages such as Python and the ability to work effectively with technical teams throughout implementation Ability to navigate ambiguity, prioritize effectively, and drive outcomes with limited direction Strong written and verbal communication skills with the ability to engage both technical and non-technical audiences Demonstrated ownership mindset and bias toward action Preferred Experience in healthcare, clinical research, or another regulated domain (HIPAA, GxP, financial services) Background as a technical founder, early engineer at a startup, or in a customer-facing engineering role (FDE, solutions engineering, applied AI) Interest in growing toward a senior product role over time — this role is designed as a natural bridge Experience with agent frameworks (Claude Agent SDK, LangGraph, AgentCore, etc.), MCP servers, or production LLM evaluation tooling Familiarity with EMR systems, clinical trial operations, or healthcare data standards (FHIR, OMOP) Experience working with messy, real-world data and turning it into something useful without pretending it's clean Benefits That Support You We believe great teams do their best work when they feel supported — professionally and personally. Hybrid work environment with in-office collaboration two days per week in either our NYC or Boston office Comprehensive medical, dental, and vision coverage, with up to 80% of premiums covered by Iterative Health Mental health and wellness support through Spring Health Health HSA or FSA options, and commuter FSA contributions supported by Iterative Health Unlimited PTO, 12 company holidays, and a company-wide shutdown between Christmas and New Years 401(k) program with a company match of up to 3% (up to $3,000 annually) Weekly in-office lunch benefit every Tuesday 100% company-paid short-term and long-term disability coverage Annual wellness and professional development stipend to support your health and growth And more! At Iterative Health, we believe great people drive innovation. If you're excited about helping transform the future of clinical research while building scalable people strategies that support growth and impact, we encourage you to apply. New York pay range$170,000—$250,000 USDAt Iterative Health, we're actively working towards creating an environment that is representative of the diversity of patients our technology serves. We are focused on building an equitable and inclusive culture, and by extension, hiring process. If you require any accommodations to make the application process or interviewing experience more accessible to you, please contact CandidateAccommodations@iterative.health.

🏢 Summary: AI Product Manager role focused on defining and delivering AI-enhanced capabilities for a framework-agnostic UI component library, embedding agentic workflows and automated SDLC tooling into engineering practices. The position owns the product roadmap, backlog, and stakeholder alignment to drive measurable outcomes in an AI-powered development environment. 🗂️ Requirements: 3+ years experience as Product Owner or Product Manager in software engineering, Experience managing complex backlogs across multiple workstreams, Strong knowledge of Scrum and Kanban frameworks, PMBOK knowledge, Working knowledge of AI/LLM-powered tooling and prompt engineering, Understanding of agentic workflows and MCP concepts, Experience with CI/CD pipelines and SDLC automation, Experience with GitLab and automated code review tools, Ability to define acceptance criteria for AI features, Experience with delivery metrics and data-driven prioritization, Ability to produce PRDs and structured technical documentation, Business-level English (C1+) 📃 Skills: AI, LLM, MCP, CI/CD, GitLab, Scrum, Kanban, PMBOK, SDLC, LangChain, SemanticKernel, CrewAI, PowerBI, Grafana, Stencil, HTML 🏢 Description: (#5027) About the Role: AI Product Manager responsible for driving the success of AI products by combining expertise in product management principles with a deep understanding of AI technologies and their applications. We are looking for an AI-savvy Product Manager to join the project programme for our Client. The Engineering team builds and maintains a framework-agnostic UI component library used across Client’s software products, and is now actively embedding AI-assisted workflows, MCP-based agentic infrastructure, and automated SDLC tooling into its engineering practice. In this role you will own the product backlog, define and prioritise the roadmap for AI-enhanced capabilities, align cross-functional stakeholders (engineering, architecture, Client’s PMs), and drive measurable delivery outcomes in a fast-moving agentic tooling context. About the Client: Our Client is the largest engineering company in Europe, and holds the position of global market leader in industrial AI, automation, and industrial software. Become a part of Client’s innovation department which is creating and managing cutting-edge technical architectures, serves as a shared platform for research and development within Client's large organization. It primarily focuses on research and development including broad incorporation of Artificial Intelligence (AI), cloud-based software, high-performance computing, etc. Responsibilities: Product Strategy & Roadmap Define and maintain the AI product roadmap for the  UI component library product, aligned with Client’s Digital Innovation department’s strategic objectives. Translate business goals and engineering insights into a prioritised, well-groomed backlog using PMBOK and agile best practices. Lead quarterly UI component library roadmap reviews with stakeholders and N-iX leadership. AI & Agentic Infrastructure Ownership Own the product definition for AI-integrated SDLC tooling: issue analysers, GitLab analytics skills, Claude Code agents, MCP server configurations, and automated reporting pipelines. Work closely with the UI Architect, Engineering Leads to evaluate and prioritise new AI capabilities for integration into the  UI component library development lifecycle. Define acceptance criteria for agentic features, including observable behaviour, error handling, and handoff points between human and AI agents. Backlog & Delivery Management Manage and refine a complex backlog spanning UI components, AI tooling, DevOps automation, and platform quality. Coordinate and execute releases planning and scope management Aligning on business needs, performing AI-analysis for advancing the prioritization process, ensuring the issues and new features are structured and validated with business stakeholders/consumers. Stakeholder Alignment & Communication Act as the primary bridge between Client’s product stakeholders and the vendor’s and N-iX’s engineering teams, ensuring clear, timely, and transparent communication. Produce executive-level product roadmaps reports aligned to Company’s brand guidelines. Identify, track, and escalate risks and dependencies in the delivery timeline. Consumer & Quality Focus Maintain the consumer-facing  UI component library roadmap based on user requests and feedback; facilitate correction actions for input requirements from component consumers. Champion quality gate automation, testing framework improvements, and CI/CD pipeline coverage as product-level acceptance criteria. Key Skills & Requirements: Product Ownership 3+ years of experience as a Product Owner or Product Manager in a software engineering environment. Proven track record of managing complex backlogs with competing priorities across multiple workstreams. Strong command of agile frameworks (Scrum, Kanban) and PMBOK knowledge areas. AI & Technical Fluency Working knowledge of AI/LLM-powered tooling - including prompt engineering, agentic workflows, and MCP (Model Context Protocol) concepts. Ability to define product requirements for AI features without requiring deep ML expertise; comfort working alongside AI infrastructure and agent teams. Familiarity with modern SDLC automation: CI/CD pipelines, GitLab, automated code review, AI-assisted issue triage, and analytics-driven PM. Stakeholder & Delivery Management Demonstrated ability to manage enterprise stakeholders in a distributed, multi-vendor delivery model. Experience translating technical delivery progress into executive-ready communications (status reports, roadmap decks, risk registers). Data-driven mindset: comfortable with delivery metrics (cycle time, throughput, burndown, eNPS) as inputs to backlog prioritisation. Communication & Documentation Excellent written and verbal communication in English (business-level required; C1+). Ability to produce well-structured PRDs, discovery outputs, acceptance criteria, and stakeholder presentations. Nice to have: Experience with UI platform or design system products (component libraries, Stencil.js, web components). Familiarity with MCP server architecture, LLM agent orchestration frameworks (LangChain, Semantic Kernel, CrewAI), or agentic infrastructure patterns. Background working within large enterprise engineering organisations. Experience using AI-powered PM analytics or GitLab data pipelines for project health reporting. Proficiency with data visualisation tools (Power BI, Grafana, custom HTML/PDF reports). Certifications: Advantageous AI Product Management certification (e.g., Pragmatic Institute AI PM, Product School AI PM Certificate) ITIL 4 Foundation — for service and change management context in enterprise delivery

🏢 Summary: Analytics Engineer role focused on building scalable healthcare data products and analytics-ready models for PBM and care navigation operations using dbt, SQL, and cloud data platforms. The position involves developing reliable data pipelines, implementing data quality frameworks, and enabling self-service and AI-assisted analytics capabilities. Candidates will collaborate across technical and business teams to create maintainable, auditable, and high-performance data solutions. 🗂️ Requirements: 3+ years experience in analytics engineering, data modeling, data warehousing or related field, Strong experience with dbt, Advanced SQL proficiency, Experience developing data transformations and workflows using Python, Understanding of dimensional modeling and scalable data architecture, Experience building production-grade data models and data quality tests, Experience with cloud data warehouses, Experience orchestrating and monitoring data pipelines, Experience working in cloud environments, Familiarity with Git and CI/CD workflows, Knowledge of testing and deployment workflows, Strong problem-solving and analytical skills, Effective communication and collaboration skills 📃 Skills: dbt, SQL, Python, Redshift, Snowflake, BigQuery, Airflow, Dagster, AWS, Git, CI/CD, MCP, Claude 🏢 Description: ABOUT THE ROLE: We are seeking an Analytics Engineer to join our Analytics Platform team to design, build and maintain scalable data products that power our Pharmacy Benefit Management (PBM) and Care Navigation organizations. In this role, you will be responsible for transforming complex healthcare data into trusted, analytics ready datasets that support operational reporting, client insights, financial analysis and strategic decision-making. You will partner closely with Analytics, Data Engineering, Clinical, Client Success, Product and Operations teams to build reliable and scalable data models within our data foundry. This role is ideal for someone who is passionate about analytics engineering, has strong dbt expertise, enjoys solving complex healthcare data challenges and thinks beyond individual requests to build reusable and maintainable systems. You will play a key role in shaping the future of our data platform by developing high-quality data products, establishing engineering best practices, and helping the organization evolve toward AI-enabled and self-service analytics capabilities. WHAT YOU'LL DO: • Apply hands on analytics and data expertise to solve complex, fast moving financial and operational problems in the health tech space • Design, develop and maintain scalable, analytics ready data models (primarily in dbt) that power a PBM and care navigation data ecosystem that support client reporting, performance analytics, operational analysis and self-service business intelligence • Translate complex pharmacy benefits and healthcare navigation workflows, business rules and operational processes into transparent, maintainable, and auditable data models • Partner closely with data and analytics engineers, data analysts and business stakeholders to deliver reliable data products that can be leveraged across multiple use cases and continuously optimize data models and warehouse performance to support large-scale PBM/care navigation datasets and growing business needs • Implement automated data quality checks, testing frameworks and reconciliation processes to ensure data reliability • Establish documentation standards, lineage and analytics engineering guardrails that promote transparency and auditability • Contribute to engineering best practices including version control, CI/CD, incremental models, code reviews, and observability • Contribute to data governance by establishing modeling standards, documentation and guardrails that support auditability, explainability and long term maintainability • Build data foundations that enable future agentic analytics engineering use cases, including self-service analytics and AI-assisted insight generation • Stay informed on emerging technologies and identify opportunities to incorporate AI into analytics engineering workflows WHO YOU ARE: • 3+ years of experience in analytics engineering, data modeling, data warehousing or a related field • Strong experience with dbt and modern analytics engineering best practices (required) • Advanced SQL proficiency and experience developing data transformations and workflows using Python • Strong understanding of dimensional modeling, medallion architecture, semantic modeling and scalable data architecture principles • Experience building and maintaining production-grade data models, data quality tests, and documentation • Experience working with cloud data warehouses such as Amazon Redshift, Snowflake, or BigQuery • Experience orchestrating and monitoring data pipelines using tools such as Apache Airflow, Dagster etc. • Experience working within cloud environments, preferably AWS • Familiarity with software engineering practices including Git, CI/CD, pull request reviews, testing, and deployment workflows • Interest or experience in leveraging AI-enabled development workflows and analytics tooling, including experience with or willingness to learn technologies such as Claude, Claude Skills, Model Context Protocol (MCP) and AI assisted engineering practices • Strong problem-solving and analytical skills with a focus on building scalable, maintainable data solutions • Effective communication skills and the ability to collaborate with both technical and non-technical stakeholders COMPENSATION: $100,000 - $140,000 annually, in addition to bonus and equity. Compensation offered will be determined by geographic location, experience, and qualifications.