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HomeCompaniesBrillio 2Senior AI Product Manager - R01565065

Senior AI Product Manager - R01565065

Brillio 2 · Jersey City, New Jersey, United States · Remote · Active · $170,000–$180,000 / year · Lever

Job facts

FieldValue
CompanyBrillio 2
TitleSenior AI Product Manager - R01565065
Normalized title-
Department / teamConsulting / Consulting : Consulting
LocationJersey City, NJ, United States
Work modelRemote / Remote
Employment typeEmployee
Salary$170,000–$180,000 / year
Statusactive
ATS providerLever
Posted / first seen2026-05-08 / 2026-06-06
Changed / last seen2026-06-06 / 2026-06-06

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PageWhat it containsOpen
Company jobsActive postings from Brillio 2.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Lever.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Jersey City.Open
Department jobsActive postings in Consulting.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyBrillio 2
Source8dec4a9c-f965-4413-9dbd-4366a88c56a5
ATS providerLever

Description

About Brillio: Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction. Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year. Senior AI Product Manager with Healthcare Payer/PBM background and Consulting strategy domain experience Know what it’s like to work and grow at Brillio: Click here Primary Skills Senior AI Product Manager Healthcare (Payer/PBM background) Consulting strategy domain experience Specialization AI Product Management Job requirements Role: AI Product Manager – Pharmacy (Experimentation & AI Products) ________________________________________ Role Summary We are seeking an AI Product Manager with deep healthcare domain experience (preferably pharmacy services) to drive rapid experimentation and delivery of AI-enabled products. This role will work at the intersection of business, clinical workflows, operations, and technology to identify high-impact opportunities, design solutions, and rapidly test and scale AI-driven capabilities across pharmacy and patient service journeys. This is a hands-on, execution-oriented role focused on turning ideas into measurable outcomes quickly. ________________________________________ Key Responsibilities 1. Identify & Prioritize High-Impact AI Use Cases • Work with business, operations, and clinical stakeholders to identify opportunities across: o Benefits verification (BV) / Prior Authorization (PA) o Patient onboarding & education o Adherence & refill management o Call center / pharmacist workflows • Translate business pain points into clear problem statements and opportunity areas ________________________________________ 2. Drive Rapid Experimentation • Convert ideas into testable hypotheses and experiments • Design MVPs and pilots using: o AI/LLM capabilities o Workflow automation o Data-driven decisioning • Run fast iteration cycles: o Prototype → test → learn → refine • Define success metrics and evaluate outcomes quickly ________________________________________ 3. Build & Deliver AI-Enabled Products • Own end-to-end product lifecycle: o Problem definition → solution design → development → launch → iteration • Partner with Engineering, Data Science, and Design teams to: o Build scalable, production-ready solutions o Integrate AI into real workflows (not just standalone models) • Ensure usability for frontline users (pharmacists, agents, care teams) ________________________________________ 4. Bridge Business, Clinical, and Technology Teams • Act as a translator between: o Business/operations (pharmacy, patient services) o Technology (engineering, AI/ML teams) • Ensure solutions are: o Operationally feasible o Clinically appropriate o Technically scalable ________________________________________ 5. Embed AI into Real Workflows • Design solutions that: o Augment human decision-making (not replace blindly) o Incorporate human-in-the-loop controls o Fit seamlessly into existing systems (CRM, workflow tools, call center platforms) • Drive adoption across end users ________________________________________ 6. Measure Impact & Scale • Track: o Operational efficiency (e.g., reduced handling time, faster approvals) o Experience metrics (patient, agent, pharmacist) o Business outcomes (conversion, adherence, cost reduction) • Scale successful pilots into broader deployment ________________________________________ Required Qualifications • 6–10+ years in Product Management or Product Ownership • Strong healthcare domain experience, preferably in: o Pharmacy services (specialty pharmacy preferred) o Patient services / HUB services o Payer or PBM ecosystems • Proven experience working on data-driven or AI-enabled products • Demonstrated ability to drive rapid experimentation and MVP delivery • Strong ability to work across business, clinical, and technical teams ________________________________________ Preferred Qualifications • Experience with: o Prior Authorization (PA), Benefits Verification (BV), or patient onboarding workflows o Call center / omnichannel patient engagement platforms • Familiarity with: o LLMs / Generative AI applications o Workflow automation tools o Data platforms (e.g., modern data stack) • Experience in regulated environments (HIPAA, compliance constraints) ________________________________________ Key Traits • Highly execution-oriented (bias for action) • Strong problem framer (not just backlog manager) • Comfortable with ambiguity and iteration

Full job record

Job IDf132a6c715b9678f21578fb26daf8f8f2ee2a171
Org ID717b76e6-2650-4b68-8dcc-07a5191937f7
Source ID8dec4a9c-f965-4413-9dbd-4366a88c56a5
Board ID8dec4a9c-f965-4413-9dbd-4366a88c56a5
Providerlever
Provider Job Keyebd4312e-64db-4d13-9633-24b35ed8d05c
TitleSenior AI Product Manager - R01565065
Normalized Title
Statusactive
Activeyes
Location TextJersey City, New Jersey, United States
DepartmentConsulting
TeamConsulting : Consulting
Employment TypeEmployee
Workplace Typeremote
Remote Policyremote
CountryUnited States
RegionNJ
CityJersey City
Salary RawUSD 170000-180000 per-year-salary
Salary Min170,000
Salary Max180,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://jobs.lever.co/brillio-2/ebd4312e-64db-4d13-9633-24b35ed8d05c
Apply URLhttps://jobs.lever.co/brillio-2/ebd4312e-64db-4d13-9633-24b35ed8d05c/apply
First Seen At2026-06-06 07:56:23Z
Last Seen At2026-06-06 07:56:23Z
Last Checked At2026-06-06 07:56:23Z
Last Changed At2026-06-06 07:56:23Z
Inactive At
Source Posted At2026-05-08 09:34:58Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=lever/board=brillio-2/date=2026-06-06/2026-06-06T07-56-23-257Z-88042de37c74422077c9574e6f2f3e023484ec5a8ec59ac251f9424c6b661fe0.json
Event Fields
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  "active_status": "active"
}
Parsed Structured
{
  "language": "en",
  "location": {
    "raw": "Jersey City, New Jersey, United States",
    "city": "Jersey City",
    "region": "NJ",
    "country": "United States",
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      "city": "Jersey City",
      "region": "NJ",
      "country": "United States",
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    },
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  },
  "remote_policy": "remote",
  "salary_period": "year",
  "workplace_type": "remote",
  "salary_currency": "USD"
}
Extensions
{}
Native Structured
{
  "lists": [
    {
      "text": "Primary Skills",
      "content": "\n<li>\n<div><strong>Senior AI Product Manager</strong></div>\n</li>\n<li>\n<div><strong>Healthcare (Payer/PBM background)</strong></div>\n</li>\n<li>\n<div><strong>Consulting strategy domain experience</strong></div>\n</li>\n"
    },
    {
      "text": "Specialization",
      "content": "\n<li>AI Product Management</li>\n"
    },
    {
      "text": "Job requirements",
      "content": "\n<li>Role: AI Product Manager – Pharmacy (Experimentation &amp; AI Products)<br>________________________________________<br>Role Summary<br>We are seeking an AI Product Manager with deep healthcare domain experience (preferably pharmacy services) to drive rapid experimentation and delivery of AI-enabled products.<br>This role will work at the intersection of business, clinical workflows, operations, and technology to identify high-impact opportunities, design solutions, and rapidly test and scale AI-driven capabilities across pharmacy and patient service journeys.<br>This is a hands-on, execution-oriented role focused on turning ideas into measurable outcomes quickly.<br>________________________________________<br>Key Responsibilities<br>1. Identify &amp; Prioritize High-Impact AI Use Cases<br>• &nbsp; &nbsp;Work with business, operations, and clinical stakeholders to identify opportunities across:&nbsp;<br>o &nbsp; &nbsp;Benefits verification (BV) / Prior Authorization (PA)&nbsp;<br>o &nbsp; &nbsp;Patient onboarding &amp; education&nbsp;<br>o &nbsp; &nbsp;Adherence &amp; refill management&nbsp;<br>o &nbsp; &nbsp;Call center / pharmacist workflows&nbsp;<br>• &nbsp; &nbsp;Translate business pain points into clear problem statements and opportunity areas&nbsp;<br>________________________________________<br>2. Drive Rapid Experimentation<br>• &nbsp; &nbsp;Convert ideas into testable hypotheses and experiments&nbsp;<br>• &nbsp; &nbsp;Design MVPs and pilots using:&nbsp;<br>o &nbsp; &nbsp;AI/LLM capabilities&nbsp;<br>o &nbsp; &nbsp;Workflow automation&nbsp;<br>o &nbsp; &nbsp;Data-driven decisioning&nbsp;<br>• &nbsp; &nbsp;Run fast iteration cycles:&nbsp;<br>o &nbsp; &nbsp;Prototype → test → learn → refine&nbsp;<br>• &nbsp; &nbsp;Define success metrics and evaluate outcomes quickly&nbsp;<br>________________________________________<br>3. Build &amp; Deliver AI-Enabled Products<br>• &nbsp; &nbsp;Own end-to-end product lifecycle:&nbsp;<br>o &nbsp; &nbsp;Problem definition → solution design → development → launch → iteration&nbsp;<br>• &nbsp; &nbsp;Partner with Engineering, Data Science, and Design teams to:&nbsp;<br>o &nbsp; &nbsp;Build scalable, production-ready solutions&nbsp;<br>o &nbsp; &nbsp;Integrate AI into real workflows (not just standalone models)&nbsp;<br>• &nbsp; &nbsp;Ensure usability for frontline users (pharmacists, agents, care teams)&nbsp;<br>________________________________________<br>4. Bridge Business, Clinical, and Technology Teams<br>• &nbsp; &nbsp;Act as a translator between:&nbsp;<br>o &nbsp; &nbsp;Business/operations (pharmacy, patient services)&nbsp;<br>o &nbsp; &nbsp;Technology (engineering, AI/ML teams)&nbsp;<br>• &nbsp; &nbsp;Ensure solutions are:&nbsp;<br>o &nbsp; &nbsp;Operationally feasible&nbsp;<br>o &nbsp; &nbsp;Clinically appropriate&nbsp;<br>o &nbsp; &nbsp;Technically scalable&nbsp;<br>________________________________________<br>5. Embed AI into Real Workflows<br>• &nbsp; &nbsp;Design solutions that:&nbsp;<br>o &nbsp; &nbsp;Augment human decision-making (not replace blindly)&nbsp;<br>o &nbsp; &nbsp;Incorporate human-in-the-loop controls&nbsp;<br>o &nbsp; &nbsp;Fit seamlessly into existing systems (CRM, workflow tools, call center platforms)&nbsp;<br>• &nbsp; &nbsp;Drive adoption across end users&nbsp;<br>________________________________________<br>6. Measure Impact &amp; Scale<br>• &nbsp; &nbsp;Track:&nbsp;<br>o &nbsp; &nbsp;Operational efficiency (e.g., reduced handling time, faster approvals)&nbsp;<br>o &nbsp; &nbsp;Experience metrics (patient, agent, pharmacist)&nbsp;<br>o &nbsp; &nbsp;Business outcomes (conversion, adherence, cost reduction)&nbsp;<br>• &nbsp; &nbsp;Scale successful pilots into broader deployment&nbsp;<br>________________________________________<br>Required Qualifications<br>• &nbsp; &nbsp;6–10+ years in Product Management or Product Ownership&nbsp;<br>• &nbsp; &nbsp;Strong healthcare domain experience, preferably in:&nbsp;<br>o &nbsp; &nbsp;Pharmacy services (specialty pharmacy preferred)&nbsp;<br>o &nbsp; &nbsp;Patient services / HUB services&nbsp;<br>o &nbsp; &nbsp;Payer or PBM ecosystems&nbsp;<br>• &nbsp; &nbsp;Proven experience working on data-driven or AI-enabled products&nbsp;<br>• &nbsp; &nbsp;Demonstrated ability to drive rapid experimentation and MVP delivery&nbsp;<br>• &nbsp; &nbsp;Strong ability to work across business, clinical, and technical teams&nbsp;<br>________________________________________<br>Preferred Qualifications<br>• &nbsp; &nbsp;Experience with:&nbsp;<br>o &nbsp; &nbsp;Prior Authorization (PA), Benefits Verification (BV), or patient onboarding workflows&nbsp;<br>o &nbsp; &nbsp;Call center / omnichannel patient engagement platforms&nbsp;<br>• &nbsp; &nbsp;Familiarity with:&nbsp;<br>o &nbsp; &nbsp;LLMs / Generative AI applications&nbsp;<br>o &nbsp; &nbsp;Workflow automation tools&nbsp;<br>o &nbsp; &nbsp;Data platforms (e.g., modern data stack)&nbsp;<br>• &nbsp; &nbsp;Experience in regulated environments (HIPAA, compliance constraints)&nbsp;<br>________________________________________<br>Key Traits<br>• &nbsp; &nbsp;Highly execution-oriented (bias for action)&nbsp;<br>• &nbsp; &nbsp;Strong problem framer (not just backlog manager)&nbsp;<br>• &nbsp; &nbsp;Comfortable with ambiguity and iteration&nbsp;</li>\n"
    }
  ],
  "country": "US",
  "createdAt": 1778232898610,
  "updatedAt": null,
  "categories": {
    "team": "Consulting : Consulting",
    "location": "Jersey City, New Jersey, United States",
    "commitment": "Employee",
    "department": "Consulting",
    "allLocations": [
      "Jersey City, New Jersey, United States"
    ]
  },
  "salaryRange": {
    "max": 180000,
    "min": 170000,
    "currency": "USD",
    "interval": "per-year-salary"
  },
  "workplaceType": "remote"
}
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