SVP, Engineering

Job not on LinkedIn

🔥 1 minute ago

🗽 New York – Remote

🗽 New York – Remote

⏰ Full Time

🔴 Lead

🖥 Software Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Covera Health

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏥 Healthcare

⚕️ Healthcare Insurance

🤖 Artificial Intelligence

💰 $27.9M Series C on 2021-08

Healthcare • Healthcare Insurance • Artificial Intelligence

Covera Health is committed to transforming how quality healthcare is defined, measured, and delivered through advanced clinical analytics and technology. By focusing on healthcare quality and employing clinically-validated tools, Covera aims to raise the standard of care nationwide, initially concentrating on radiology to ensure accurate and timely diagnoses that significantly impact patient care outcomes. The company collaborates with top employers, payers, and healthcare organizations across the United States, leveraging a clinical intelligence platform that provides AI-powered insights to enhance medical care and support quality improvement at scale.

📋 Description

• Lead Covera Health's Engineering and Platform/IT organizations, including approximately 30 people across Engineering and AI. • Own technology architecture, engineering standards, technical execution, day-to-day engineering delivery, technical quality, and reliability. • Partner with the Chief Product & Technology Officer to translate product and company strategy into technical execution. • Lead and develop engineering leaders while remaining closely involved with teams and technical challenges. • Improve engineering effectiveness through strong technical practices, clear priorities, practical processes, and reliable, high-quality software delivery. • Connect technology decisions to customer, product, and business needs. • Bridge Engineering with Product, Data, AI, Clinical, Operations, Security, and other teams. • Own architecture and standards across application development, cloud infrastructure, data platforms and pipelines, integrations, and enterprise technology. • Ensure platforms and systems scale reliably and securely as products, customers, data sources, and partnerships grow. • Maintain high engineering standards balancing performance, scalability, reliability, security, cost, and speed. • Recruit, develop, and retain exceptional technology talent. • Build a culture of ownership, sound technical decision-making, collaboration, and engineering excellence. • Support increasingly complex data- and AI-driven products while meeting healthcare privacy, security, reliability, and quality requirements. • Communicate technical decisions, priorities, risks, and tradeoffs to engineering teams and executive stakeholders. • Diagnose and resolve complex technical challenges, including data pipeline issues, architectural decisions, system performance, and critical production incidents.

🎯 Requirements

• 15+ years of progressive software engineering and technology experience, including deep technical experience building and operating complex software systems and leading engineering teams. • Experience leading engineering teams and engineering managers while remaining actively involved in technical architecture, design, and execution. • Demonstrated success building technically strong, high-performing engineering teams with a culture of ownership, accountability, and high engineering standards. • Strong product instincts and demonstrated ability to connect technology strategy and execution to product, customer, and business needs. • Demonstrated ability to partner closely with Product leadership and operate effectively at the intersection of product and engineering. • Deep technical expertise and strong architectural judgment, with the ability and desire to remain actively involved in design reviews, technical problem-solving, and critical engineering decisions. • Experience building, scaling, and operating large-scale, data-intensive production systems and platforms. • Deep technical knowledge of modern software engineering, cloud infrastructure, data platforms and pipelines, integrations, security, reliability, and data architecture. • Experience improving engineering quality, reliability, and delivery through strong technical practices, effective tooling, and practical team leadership. • Demonstrated ability to make complex cross-functional decisions, resolve competing priorities, and create alignment across multiple teams and functions. • Experience working with ML/AI engineering teams or overseeing products and platforms incorporating AI/ML capabilities. • Strong track record of recruiting, developing, and retaining exceptional engineering leaders and talent. • Experience operating in fast-paced startup or growth-stage environments. • Excellent executive communication and cross-functional leadership skills. • Experience building or leading modern, data-intensive technology platforms, with a strong understanding of complex data pipelines, distributed systems, and production reliability. • Demonstrated ability to balance technical depth with leadership responsibilities, remaining close to engineering work while guiding teams and making broader technology decisions. • Preferred: Experience at a healthcare technology or data company building modern software platforms or technically complex products using clinical, imaging, or claims data. • Preferred: Experience with healthcare or clinical data environments, including familiarity with HL7 and/or DICOM. • Preferred: Experience with modern data and analytics platforms such as Databricks, Spark, or similar technologies. • Preferred: Experience with AWS or equivalent cloud infrastructure. • Preferred: Experience transitioning from a highly technical engineering environment into a leadership role at a startup or growth-stage company. • Preferred: Experience developing engineering depth and technical leadership at a large-scale technology company, followed by engineering leadership experience in a smaller, product-focused organization. • Every team member is expected to actively use AI in their day-to-day role.

🏖️ Benefits

• Comprehensive medical plans - choose from three plans, including one with 100% of premiums covered for you and your dependents • Vision & Dental • Flexible Time Off - take the time you need, when you need it • Generous company wide holidays - 16 in total • 401(k) Retirement Plan • Annual Professional Development Stipend to invest in courses, books, or any other professional development related activity • Annual Wellness stipend for fitness, mental health or other wellness expenses