Product Manager jobs in United States
Explore 2,149 matching jobs.
Product Manager, R&D – IntelliScript
Milliman
Posted: 10/21/2026Product Owner, API
Crum & Forster
Posted: 10/21/2026SDLC
Product Manager, Payor Agents
Infinitus Systems, Inc.
Posted: 10/21/2026Director/Senior Director, Product Management
CivilGrid
Posted: 10/21/2026Product Manager II – Margins
PEAK6
Posted: 10/21/2026CloudSQL
Senior Experience Product Manager
Abbott
Posted: 10/21/2026Tableau
Senior Manager, Product Management – Field Intelligence
GSK
Posted: 10/21/2026CloudPythonSQLTableauVault
Director, Learning Services Product Management
Agilent Technologies
Posted: 10/21/2026Product Management Intern – Fall 2026/Spring-Summer 2027
OneEthos
Posted: 10/21/2026AWSAzureCloudJavaScriptMongoDBNode.jsNoSQLSQLTypeScript
Product Manager
Doppel
Posted: 10/21/2026Staff GTM AI Product Manager
Cribl
Posted: 10/21/2026Manager, Product Management – Budgeting
PowerSchool
Posted: 10/21/2026CloudERP
Senior Product Manager – Commercial Lending
KeyBank
Posted: 10/21/2026Principal Product Manager
Walmart
Posted: 10/21/2026Real-Time & Emerging Payments Product Manager
TD
Posted: 10/21/2026Senior Experience Product Manager
Abbott
Posted: 10/21/2026Data Product and Quality Specialist
Accenture Federal Services
Posted: 10/21/2026PythonSQL
Associate Product Manager – Strategic Programs, Partnerships
Danaher Corporation
Posted: 10/21/2026Product Owner, Healthcare
Sellers Dorsey
Posted: 10/21/2026ETLSQL
Product Manager, Radar
Stripe
Posted: 10/21/2026SQL
Product Manager, Radar – Fraud and Abuse Prevention
Stripe
Posted: 10/21/2026SQL
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in product management and development, particularly in AI-enabled solutions and healthcare technology. Proven ability to lead cross-functional teams, translate complex needs into actionable strategies, and drive evidence-based decision-making.
Highest-signal resume keywords
Product ManagementAI-Enabled Product DevelopmentCross-Functional CollaborationEvidence-Based Decision-MakingHealthcare Technology
About the role
Key responsibilities & impact- Provide product leadership for R&D experimentation from discovery through early adoption and transition
- Identify and frame opportunities across products, features, reusable capabilities, workflow improvements, and emerging-technology experiments
- Define product vision, target outcomes, success measures, and learning objectives
- Translate project needs into requirements, backlog items, and process flows
- Engage users, clients, and stakeholders through discovery, concept validation, demonstrations, pilots, and feedback sessions
- Partner with engineering, data science, design, clinical, operations, commercial, and other teams
- Maintain product roadmaps and coordinate cross-functional teams toward project milestones
- Develop and evaluate prototypes, proofs of concept, and lightweight MVPs
- Use evidence and feedback to recommend scaling, refinement, transition, or termination of initiatives
- Contribute to UAT and QA, identify defects, and ensure release quality
- Communicate strategy, evidence, tradeoffs, risks, and recommendations to technical and non-technical audiences, including senior leaders
- Support transition of validated solutions to long-term owners through training and documentation
- Serve as product expert in client and internal conversations, supporting early sales and adoption
- Identify and evaluate AI opportunities for product development, workflows, client solutions, and product experiences
- Define user problems, expected value, evaluation criteria, guardrails, and human oversight for AI-enabled features
- Partner with technical, data science, security, privacy, legal, clinical, and compliance stakeholders on responsible AI use
- Structure emerging-technology experiments and make recommendations on their use
- Create reusable approaches, guidance, and product patterns for proven capabilities
- Champion responsible experimentation, rapid learning, knowledge sharing, and evidence-based decision-making
Requirements
What you’ll need- Minimum 5 years of relevant experience in product management, product development, software R&D, innovation, or related roles
- Preferably experience within healthcare technology or other data-intensive domains
- Demonstrated success leading ambiguous, cross-functional product work from discovery and experimentation through validation, delivery, and adoption
- Experience translating complex needs into product strategy, requirements, and measurable outcomes
- Working knowledge of AI-enabled product development, including AI opportunities, limitations, quality considerations, and responsible-use practices
- Excellent written and verbal communication skills
- Proficiency with Jira, Confluence, Microsoft 365, or comparable platforms
- Strong product judgment connecting strategy, user needs, technical feasibility, risk, and measurable value
- Experience collaborating with engineering, data, design, and domain experts
- Ability to identify high-value AI use cases and evaluate AI-enabled experiences and outputs
- Comfort experimenting with emerging technologies and converting uncertain opportunities into structured learning plans and decisions
- Track record prioritizing product work and making tradeoffs across impact, effort, risk, dependencies, and speed to learning
- Ability to build alignment, challenge assumptions constructively, and influence decisions without formal authority
- Analytical mindset and evidence-based decision-making skills
- Self-motivated and adaptable, able to work independently and collaborate in a fast-moving, ambiguous environment
- Advanced degree, diploma, or certification in a related field is listed as a wish-list item
- Experience with AI-enabled products or features, evaluation, monitoring, or human-in-the-loop design is desirable
- Experience with AI-assisted product-development tools, prompt design, model evaluation, or rapid prototyping is desirable
- Experience with clinical data such as medical claims or electronic health records is desirable
- Familiarity with HIPAA regulations and HIPAA-compliant environments is desirable
- Background in healthcare, life sciences, legal services, insurance, or other regulated/data-intensive industries is desirable
- Hands-on UAT or product-focused QA experience is desirable
- Experience presenting recommendations to senior leadership is desirable
- Familiarity with agile, lean, design thinking, or modern product-development approaches is desirable
- Applicants must be willing to travel to the Milliman office in Brookfield, WI and to client sites, conferences, and other events
Benefits
Comp & perks- Medical, Dental and Vision coverage for employees, dependents, and domestic partners
- Employee Assistance Program (EAP)
- 401(k) plan with company matching and profit-sharing contributions
- Discretionary Bonus Program
- Flexible Spending Accounts (FSA)
- Paid Time Off (15 days per year for full-time employees)
- Minimum of 10 paid holidays per year
- Family Building Benefits, including adoption and fertility assistance
- Paid Parental Leave of up to 11 weeks for eligible employees
- Life Insurance & AD&D with 100% of premiums covered by Milliman
- Fully paid Short-Term and Long-Term Disability
- Skills training and career development
- Learning and mentoring opportunities
- Employee Resource Groups (ERGs)
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Product StrategyRequirements TranslationPrototypingUser Acceptance Testing (UAT)Quality Assurance (QA)Data AnalysisAgile MethodologiesLean MethodologiesDesign ThinkingEmerging Technology Experimentation
Soft Skills
Excellent Communication SkillsAnalytical MindsetSelf-MotivatedAdaptabilityInfluencing Without Authority
Tools & Technologies
JiraConfluenceMicrosoft 365AI-Assisted Product-Development Tools
Certifications & Qualifications
Advanced Degree in Related Field
Industry Keywords
HealthcareLife SciencesHIPAA ComplianceClinical DataData-Intensive Domains
