Engineering Manager - Quality and Delivery

TBC CorporationRemote - Pennsylvania, PA
$150,289 - $225,434

About The Position

Lyric is an AI-first, platform-based healthcare technology company focused on simplifying the business of care by preventing inaccurate payments and reducing waste in the healthcare ecosystem. With 35 years of pre-pay editing expertise, Lyric is a market leader recognized for its technology and dedicated teams. The company is committed to enabling more efficient resource use to lower care costs for payers, providers, and patients. Lyric is HI-TRUST and SOC2 certified and has received the 2025 CandE Award for Candidate Experience. The company is seeking an Engineering Manager to lead a team responsible for onboarding new customers to its healthcare payer platform and ensuring existing customers operate with high quality, reliability, and satisfaction. This role involves working with existing teams and collaborating with a modernization team as the platform integrates into a larger ecosystem. The position is customer-facing, with success measured by onboarding timelines, data correctness, production stability, and responsiveness to customer-reported issues. The role operates on an established platform and requires executing reliably while enhancing engineering quality.

Requirements

  • 8+ years of software engineering experience
  • 3+ years managing engineering teams, with direct ownership of delivery, hiring, performance, and development
  • Demonstrated technical credibility: able to independently review designs and code, reason about API and data boundaries, evaluate migration and reliability tradeoffs, and challenge engineers on technical decisions
  • Track record of predictable delivery against external commitments and deadlines
  • Experience operating a production system with real customers – incident response, quality management, and customer–impacting escalations
  • Hands-on familiarity with AI-assisted development tooling and a point of view on how to use it well within a team

Nice To Haves

  • Working experience across both AWS and Azure, including multi-cloud or cross-cloud migration work
  • Experience delivering enterprise B2B SaaS with implementation or onboarding cycles
  • Experience working in an environment with regulated or sensitive data

Responsibilities

  • Own end-to-end engineering delivery for new customer implementations, including sequencing, staffing, dependencies, and commitments.
  • Surface delivery risks early and make scope and quality tradeoffs explicit.
  • Partner with Product, Implementation, and Customer Success as the engineering point of contact for onboarding commitments.
  • Own production health for the team's surface area, including incident response, root cause analysis, and durable fixes.
  • Drive down recurring defect and escalation volume and build mechanisms to prevent recurrence.
  • Improve observability, alerting, and operational readiness for the systems the team owns.
  • Balance customer-driven work with the technical investment needed to maintain the platform.
  • Deliver the team's portion of platform integration work as the product joins a larger ecosystem.
  • Execute the team's scope of the Azure-to-AWS migration, following established architecture patterns and processes.
  • Maintain availability and customer experience through migration and integration changes.
  • Set and uphold a high standard for code review, testing, CI/CD discipline, automated testing, and release practices.
  • Ensure appropriate handling of sensitive customer and healthcare data, including access controls and auditability.
  • Keep technical debt visible and negotiate paying it down against delivery pressure.
  • Establish a practical AI-assisted development process for the team, covering coding, testing, review, debugging, and documentation.
  • Steer AI usage through guardrails such as repo-level agent instructions, prompt and context practices, and CI checks for common AI-generated defects.
  • Coach engineers on the effective application of AI.
  • Evaluate the effectiveness of AI practices and adjust them to ensure durability.
  • Hire, onboard, and retain strong engineers.
  • Provide direct, timely feedback and address underperformance.
  • Delegate meaningful ownership and grow engineers into larger scopes.
  • Build a team environment with accountability and healthy disagreement.

Benefits

  • Equal Opportunity Employer
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