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Elucid

AI-powered plaque analysis for cardiovascular imaging

Director of Program Management

Program ManagementConfirmed live in the last 24 hours
Full-time$180k - $215k

About the Job

Requirements

  • At least 8 years of program management experience owning complex, cross-functional programs from idea to delivery, and at least 3 years of experience managing a team.
  • Bachelor’s degree in engineering, computer science, life sciences, or a related field.
  • Experience in the medical device industry, working knowledge of regulatory requirements and standards, and experience applying these to agile software development and risk management in a software-as-a-medical-device environment.
  • Startup or high-growth experience building and scaling program management practices, with ability to perform hands-on program work and strategic PMO leadership.
  • Experience building executive governance forums, such as quarterly portfolio reviews, using data-driven analysis of capacity, dependencies, and tradeoffs to inform prioritization decisions.
  • Experience managing, coaching, and hiring program or project managers.
  • A collaborative and persuasive style, with a track record of leading change management, introducing and reinforcing new processes, and driving organizational alignment.

Responsibilities

  • Build governance, portfolio planning, and launch readiness practices that enable organizational scale.
  • Lead key cross-functional initiatives hands-on.
  • Work across R&D, product, clinical, regulatory, quality, and commercial teams to align leaders around important decisions and add structure without slowing teams down.

Desired Qualifications

  • Cardiovascular or imaging program experience.
  • Familiarity with Jira, Smartsheet, Roadmunk, and Salesforce.
  • PMP, PgMP, or Agile certification.

About the Company

Elucid

AI-powered plaque analysis for cardiovascular imaging

Elucid Bioimaging provides an AI-powered SaaS platform that helps clinicians diagnose and manage cardiovascular disease by analyzing coronary CT angiography images to quantify plaque and model the coronary arteries. PlaqueIQ uses machine learning trained on paired CCTA data and histology to identify plaque types, create a 3D artery model, and move toward non-invasive FFR measurements (FFRCT). The product stands out by using histology-grounded AI with FDA 510(k) clearance and CE marking, offering more detailed plaque characterization than many competitors. The company aims to expand sales in North America and Europe to enable precision cardiology and preventive treatment, with the goal of reducing heart attacks and strokes.

Company size
51-200
Company stage
Series D
Total funding
$183.3M
Headquarters
Boston, MA
Founded
2013

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