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Product Management Intern- Prospective Intelligence at Reveleer

Key Facts

Remote From: 
Internships
Entry-level / graduate
English

Other Skills

  • Adaptability
  • Communication
  • Analytical Skills
  • Teamwork
  • Curiosity
  • Willingness To Learn

Roles & Responsibilities

  • Strong analytical and communication skills
  • Interest in healthcare technology, AI/ML, and data-driven product development
  • Ability to work collaboratively in a fast-paced, innovative environment
  • Curiosity, adaptability, and willingness to learn new tools and methodologies

Requirements:

  • Conduct market research and competitive assessments to support product strategy
  • Analyze product usage data, pilot program results, and key performance metrics
  • Participate in Agile ceremonies such as sprint planning, daily stand-ups, and retrospectives
  • Assist in writing user stories, acceptance criteria, and product documentation

Job description

Product Management Intern – Prospective Intelligence (PI)

Location: Remote

Duration: 20-40 pre-scheduled hours per week for 8-12 weeks

Reveleer is a healthcare data and analytics company that uses Artificial Intelligence to give health plans across all business lines greater control over their Quality Improvement, Risk Adjustment, and Member Management programs. With one transformative solution, the Reveleer platform enables plans to independently execute and manage every aspect of enrollment, provider outreach and data retrieval, coding, abstraction, reporting, and submissions. Leveraging proprietary technology, robust data sets, and subject matter expertise, Reveleer provides complete record retrieval and review services so health plans can confidently plan and execute risk, quality, and member management programs to deliver more value and improved outcomes.

Role Overview:

The Product Management Intern – Prospective Intelligence (PI) will support the Product team by conducting market research, analyzing product performance, improving documentation, and contributing to product development workflows. This internship is ideal for a student with strong analytical skills, an interest in healthcare technology and AI/ML, and a desire to learn how product strategy and execution come together in a fast-paced environment.

Key Responsibilities:

  • Conduct market research and competitive assessments to support product strategy.
  • Analyze product usage data, pilot program results, and key performance metrics.
  • Participate in Agile ceremonies such as sprint planning, daily stand-ups, and retrospectives.
  • Assist in writing user stories, acceptance criteria, and product documentation.
  • Collaborate with engineering, data science, customer success, and other internal teams.

Internship Deliverables:

  • Improve product documentation of existing functionality by validating capabilities with engineering teams, publishing updated documentation internally, and recommending monitoring or alerting enhancements.
  • Strengthen product team understanding of analytics, customer performance, competitive insights, and the broader market landscape for the Prospective Intelligence suite.
  • Refine customer segmentation models and create more efficient mechanisms for reporting on segment-level key metrics.
  • Support operational efficiency by helping organize the product backlog, cleanse documentation, and streamline PM workflows.

Required Skills & Qualifications

  • Strong analytical and communication skills.
  • Interest in healthcare technology, AI/ML, and data-driven product development.
  • Ability to work collaboratively in a fast-paced, innovative environment.
  • Curiosity, adaptability, and willingness to learn new tools and methodologies.


Compensation:

Our compensation reflects the cost of labor across several US geographic markets. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.

Reveleer E-Verifies all new hires.

Reveleer is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, disability status or genetic information, in compliance with applicable federal, state and local law.

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