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Elucid

AI-powered plaque analysis for cardiovascular imaging

Director of Revenue Operations

Sales OperationsConfirmed live in the last 24 hours
Full-time$165k - $185k

About the Job

Requirements

  • At least 8 years of experience in sales operations, revenue operations, sales strategy, business operations, or a related field; experience with B2B SaaS or software-as-a-medical-device products is ideal.
  • At least 3 years of experience managing a team.
  • A bachelor's degree in Business, Finance, or a related field.
  • Advanced, hands-on Salesforce administration skills; Salesforce Administrator certification is preferred.
  • Proven ownership of quote-to-cash processes, including configure-price-quote, contract management, and billing tool integration.
  • A strong grasp of forecasting, pipeline management, and software-as-a-service metrics such as bookings, annual recurring revenue, and retention.
  • Experience leading people and managing vendors.
  • Analytical skills, communication skills, and cross-functional collaboration skills.

Responsibilities

  • Run the revenue operations team and build the engine behind the go-to-market motion by setting priorities and designing systems while remaining hands-on as the function matures.
  • Own lead routing, Salesforce architecture, quote-to-cash workflows, forecasting, and revenue reporting used by the executive team.
  • Shape revenue operations around a complex, multi-stakeholder software-as-a-medical-device sales process.
  • Partner with Sales, Customer Success, Implementation, and Finance to ensure deals progress from initial conversation through billing.

Desired Qualifications

  • Experience with B2B SaaS or software-as-a-medical-device products is ideal.
  • Salesforce Administrator certification is preferred.

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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