SVP, Engineering

This is a fully remote position, open to applicants in New York.

📋 Description

• Oversee Covera Health's Engineering and Platform/IT divisions, managing a team of approximately 30 individuals across Engineering and AI.

• Take responsibility for technology architecture, engineering standards, technical execution, daily engineering delivery, technical quality, and overall reliability.

• Collaborate with the Chief Product & Technology Officer to align product and company strategy with technical execution.

• Guide and nurture engineering leaders while staying closely engaged with teams and addressing technical challenges.

• Enhance engineering efficiency through robust technical practices, distinct priorities, practical processes, and dependable, high-quality software delivery.

• Relate technology choices to customer, product, and business requirements.

• Serve as a liaison between Engineering and Product, Data, AI, Clinical, Operations, Security, and other departments.

• Manage architecture and standards across application development, cloud infrastructure, data platforms and pipelines, integrations, and enterprise technology.

• Ensure platforms and systems scale reliably and securely in response to product, customer, data source, and partnership expansion.

• Uphold high engineering standards while balancing performance, scalability, reliability, security, cost, and speed.

• Attract, develop, and retain outstanding technology talent.

• Foster a culture of ownership, sound technical decision-making, collaboration, and engineering excellence.

• Support increasingly sophisticated data- and AI-driven products while adhering to healthcare privacy, security, reliability, and quality standards.

• Articulate technical decisions, priorities, risks, and tradeoffs to engineering teams and executive stakeholders.

• Analyze and resolve intricate technical issues, including data pipeline challenges, architectural choices, system performance, and critical production incidents.

⛳️ Requirements

• 15+ years of progressive experience in software engineering and technology, featuring extensive technical expertise in developing and managing complex software systems and leading engineering teams.

• Proven experience in leading engineering teams and managers while remaining actively engaged in technical architecture, design, and execution.

• Successful track record in establishing technically robust, high-performing engineering teams characterized by a culture of ownership, accountability, and high engineering standards.

• Strong product instincts with a demonstrated ability to align technology strategy and execution with product, customer, and business needs.

• Proven ability to collaborate closely with Product leadership and effectively function at the intersection of product and engineering.

• Profound technical expertise and strong architectural judgment, with a commitment to remaining actively involved in design reviews, technical problem-solving, and critical engineering decisions.

• Experience in building, scaling, and managing large-scale, data-intensive production systems and platforms.

• Extensive technical knowledge of contemporary software engineering, cloud infrastructure, data platforms and pipelines, integrations, security, reliability, and data architecture.

• Proven ability to enhance engineering quality, reliability, and delivery through strong technical practices, effective tooling, and practical team leadership.

• Demonstrated capacity to make complex cross-functional decisions, resolve competing priorities, and create alignment across various teams and functions.

• Experience collaborating with ML/AI engineering teams or overseeing products and platforms that incorporate AI/ML capabilities.

• Strong history of recruiting, developing, and retaining exceptional engineering leaders and talent.

• Experience operating within fast-paced startup or growth-stage environments.

• Excellent executive communication and cross-functional leadership skills.

• Experience in building or leading modern, data-intensive technology platforms, with a solid understanding of complex data pipelines, distributed systems, and production reliability.

• Demonstrated ability to balance technical depth with leadership responsibilities, staying close to engineering tasks while guiding teams and making broader technology decisions.

• Preferred: Experience at a healthcare technology or data company creating modern software platforms or complex products utilizing clinical, imaging, or claims data.

• Preferred: Familiarity with healthcare or clinical data environments, including knowledge of 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: Transition experience from a highly technical engineering environment to 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 utilize AI in their daily roles.

🏝️ Benefits

• Comprehensive medical plans - choose from three options, including one with 100% of premiums covered for you and your dependents.

• Vision & Dental coverage.

• Flexible Time Off - take the time you need, whenever 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 activities.

• Annual Wellness stipend for fitness, mental health, or other wellness expenses.