Lyric - Clarity in motion.

Engineering Manager

• Owned the delivery roadmap for platform modernization – sequencing migration work, API extraction, and frontend decoupling into realistic, high-impact milestones
• Removed blockers before the team felt them
• Held the team to high engineering standards without micromanaging
• Got hands-on when it mattered – reviewing critical design decisions, pairing on thorny migration problems

Software Development Manager – Replay

Collections

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Healthcare Collections Analyst

Digital Marketing

• Execute multi-channel digital campaigns across paid social, website, email, organic social, and search advertising to drive traffic, engagement, and conversions.
• Own day-to-day execution and optimization for paid social programs. This includes building campaigns, selecting the targeting parameters, and creative trafficking.
• Build and deploy email campaigns and nurture automations (lists, segments, and journeys) aligned to campaign strategy and funnel stage.
• Support performance improvements through A/B testing.
• Execute SEM programs (Google Ads), including keyword builds, ad copy iteration, landing page alignment, and optimization against performance benchmarks.
• Support SEO execution and content optimization in collaboration with internal stakeholders and/or external resources (metadata, on-page updates, basic technical hygiene, content refreshes).
• Manage organic social publishing workflows and day-to-day execution (e.g. SproutSocial), supporting campaign amplification and thought leadership distribution.
• Track and report on channel and campaign performance, surfacing insights and recommendations to the [insert title for Ashley Grossman] to improve outcomes.
• Help implement and maintain foundational tracking practices (UTMs and attribution support), coordinating with contractors or vendors as needed to strengthen measurement.
• Draft digital marketing copy and campaign assets (emails, ad copy, landing page copy, social copy) based on SME/product inputs and established messaging.
• Write creative briefs and collaborate with the graphic designer (once hired) to deliver visual assets that support campaign performance and brand consistency.

Digital Marketing Specialist

Revenue Operations

• Own development of monthly and quarterly board materials, executive updates, and company-wide bookings performance reporting
• Synthesize complex quantitative analyses into clear, compelling narratives tied to business objectives
• Oversee bookings forecasting and pipeline reporting, in partnership with FP&A
• Identify performance drivers, risks, and opportunities across segments and products
• Establish scalable reporting frameworks that improve visibility and accountability
• Lead the GTM operating rhythm (pipeline reviews, forecasting calls, Executive Leadership Team touchpoints, monthly Town Halls)
• Drive alignment across GTM, Finance, Analytics, Services, and Legal to operationalize priority initiatives
• Proactively identify and remove execution roadblocks impacting bookings and revenue performance
• Lead high-impact, cross-functional projects tied to revenue growth, efficiency, and process improvement
• Conduct executive-level analyses to inform performance management and key decisions
• Translate conceptual priorities into actionable implementation plans
• Support creation of high-impact materials, in line with Lyric brand guidelines and presentation best practices, for both internal and external audiences

Director, Revenue Operations

Business Operations

• Partner closely with the GM to translate strategy into actionable quarterly and annual operating plans, with clear milestones, ownership, and measurable outcomes
• Serve as the connective tissue across the business—ensuring alignment between growth strategy, product/content development, and client delivery
• Design and lead the operating rhythm of the business, including weekly business reviews, monthly operating reviews, and quarterly planning cycles
• Establish governance frameworks, decision-making processes, and risk management practices that drive clarity, speed, and accountability
• Own end-to-end performance visibility across pipeline, revenue growth, content readiness, client execution, and realized savings
• Build executive-level dashboards and insights that inform decisions and highlight opportunities to accelerate growth
• Drive complex, cross-functional programs spanning content strategy, clinical build, solution design, analytics, client delivery, and customer support
• Proactively identify dependencies and execution risks, removing bottlenecks to ensure on-time, high-quality delivery

Director, Business Operations – Prepay Editing

QA Engineer

• Ensure the quality, reliability, and performance of software solutions delivered to clients
• Design, execute, and automate test cases to validate new implementations, upgrades, and production support enhancements
• Collaborate closely with cross-functional teams to identify risks, validate requirements, and ensure that deliverables meet functional, clinical, and performance expectations
• Conduct thorough test result reviews to ensure accuracy and consistency before client release
• Participate in requirement and design review sessions for new implementations, upgrades, and KP upsells
• Act as a direct and reliable partner to Payment Accuracy Advisors (PAA), Business Analysts (BA), Service Operations (SIOps), and Engagement Managers (EM)
• Provide input into QA strategy improvements, process enhancements, and automation frameworks
• Lead change management efforts, communicating rationale and benefits of adjustments to both internal teams and customers
• Perform root cause analysis to identify underlying issues and prevent recurrence
• Contribute to the refinement of QA documentation, methodologies, and automation processes

Staff QA Analyst

Machine Learning Engineer

• Design, train, and optimize ML models using PyTorch or TensorFlow for production-grade applications.
• Build scalable data pipelines for feature engineering and model training using Pandas, Dask, or equivalent frameworks.
• Implement model evaluation, hyperparameter tuning, and performance monitoring.
• Develop and maintain ML workflows using Airflow, Kedro, and MLflow for reproducibility and traceability.
• Automate model deployment and lifecycle management across environments (dev, staging, production).
• Handle large-scale datasets efficiently using distributed computing frameworks (Dask, Spark).
• Ensure data quality, consistency, and compliance with governance standards.
• Implement model drift detection, performance tracking, and automated retraining strategies.
• Document ML workflows, best practices, and operational guidelines.